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SYSTEMATIC REVIEW article

Front. Endocrinol., 19 November 2019
Sec. Clinical Diabetes
This article is part of the Research Topic Diabetes in the Middle East View all 14 articles

A Systematic Review of Childhood Diabetes Research in the Middle East Region

  • 1Division of Endocrinology, Department of Pediatrics, Sidra Medicine, Doha, Qatar
  • 2College of Health & Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar
  • 3Biostatistics Section, Clinical Research Center, Research Services, Sidra Medicine, Doha, Qatar

Background: Diabetes mellitus (DM) is a common chronic disorder in children and is caused by absolute or relative insulin deficiency, with or without insulin resistance. There are several different forms of childhood DM. Children can suffer from neonatal diabetes mellitus (NDM), type 1 diabetes (T1DM), type 2 diabetes (T2DM), Maturity Onset Diabetes of the Young (MODY), autoimmune monogenic, mitochondrial, syndromic and as yet unclassified forms of DM. The Middle East has one of the highest incidences of several types of DM in children; however, it is unclear whether pediatric diabetes is an active area of research in the Middle East and if ongoing, which research areas are of priority for DM in children.

Objectives: To review the literature on childhood DM related to research in the Middle East, summarize results, identify opportunities for research and make observations and recommendations for collaborative studies in pediatric DM.

Methods: We conducted a thorough and systematic literature review by adhering to a list recommended by PRISMA. We retrieved original papers written in English that focus on childhood DM research, using electronic bibliographic databases containing publications from the year 2000 until October 2018. For our final assessment, we retrieved 429 full-text articles and selected 95 articles, based on our inclusion and exclusion criteria.

Results: Our literature review suggests that childhood DM research undertaken in the Middle East has focused mainly on reporting retrospective review of case notes, a few prospective case studies, systemic reviews, questionnaire-based studies, and case reports. These reported studies have focused mostly on the incidence/prevalence of different types of DM in childhood. No studies report on the establishment of National Childhood Diabetes Registries. There is a lack of consolidated studies focusing on national epidemiology data of different types of childhood DM (such as NDM, T1DM, T2DM, MODY, and syndromic forms) and no studies reporting on clinical trials in children with DM.

Conclusions: Investing in and funding basic and translational childhood diabetes research and encouraging collaborative studies, will bring enormous benefits financially, economically, and socially for the whole of the Middle East region.

Introduction: Overview of Childhood Diabetes Mellitus

Burden of Diabetes

Recent trends have indicated that the incidence of diabetes is increasing rapidly worldwide (1), with a dramatic increase in prevalence in the Middle Eastern countries, among adults (2) and in children alike (3, 4). This trend is evidenced and emphasized by a 3% increase in the occurrence of this disease in children, in whom it manifests itself in many debilitating ways (1, 4).

According to the IDF Diabetes Atlas—Seventh Edition (3), the number of children (0–14 years) with T1DM in the Middle East and North Africa (MENA) Region is 60,700 and the number of newly diagnosed children each year is 10,200. According to the IDF Diabetes Atlas—eighth Edition (4), the number of adolescents in Qatar with T1DM is 592, and the number of newly diagnosed children and adolescents, per 100,000 children per year is 12.2. Other data, such as for undiagnosed cases of DM, mortality rates, and health care expenditure due to DM are given only for adults. The total health expenditure for the adult population is expected to go from 17.1 billion in 2015 to 30 billion in 2040 (3). There are many consequences due to DM and complications such as stroke, blindness, heart attacks, kidney failure, and amputations can occur. There is a major social cost due to this disease and the risks increase with age, genetic factors, and family history. Those with diabetes are likely to have double the amount of health expenditure than others (3).

It is therefore important to identify the causes of this trend and develop newer therapies through improved research that could result in the development of better treatment and care. Hence in this study, we thoroughly reviewed the published literature to try and understand the types of research reported in childhood DM in the Middle East.

Nature of the Disease—Diabetes

Diabetes mellitus (DM) is a complex, chronic metabolic condition that results in hyperglycemia and is caused by an absolute or relative insulin deficiency with or without insulin resistance. Neonatal diabetes mellitus (NDM) occurs before 6 months of age and is relatively rare. Although Type 1 DM (T1DM) is the commonest form of DM observed in children, Type 2 DM (T2DM) is becoming more prevalent for this age group where the rising numbers are mostly driven by the obesity epidemic (5). Maturity Onset Diabetes of the Young (MODY) can also present during childhood. Autoimmune monogenic forms of DM are a relatively new group of diseases described in children associated with multiple autoimmunities. Other rare forms of DM observed during childhood include mitochondrial DM, syndromic forms of DM and as yet unclassified forms. Cystic Fibrosis (CF) related to diabetes, also known as (CFRD) develops in many patients over time (6). Considering that current epidemiology data about CF in the Middle East is between one in 2000 and 5,800 live births, this is an important area of research (7).

Type 1 Diabetes Mellitus

In a six-center study conducted in the USA, 80% of DM cases were for T1DM for those <9 years of age and 6–76% for those between 10 and 19 years of age (5). T1DM accounts for nearly two-thirds of newly diagnosed patients in the United States, who are <19 years of age (5). In 2006, the number of children with T1DM was estimated by the International Federation of Diabetes (IDF) to be 440,000, an annual increase of 3%, with 70,000 newly diagnosed cases per year (4). Furthermore, the prevalence of cases in individuals younger than 15 years of age is estimated to rise by 70% (8, 9). These epidemiological data suggest an “accelerating” epidemic and serves as a useful indicator of the future burden of T1DM.

T1DM is the most common form of childhood DM and is due to a combinations of factors, such as defective autoimmunity, genetics, and environmental factors. T1DM occurs during early through mid-childhood when pancreatic beta-cells are destroyed, as a result of an autoimmune process, resulting in a lack of insulin production. The autoantibodies facilitate the destruction of the beta-cells over the years, which results in metabolic abnormalities ranging from asymptomatic hyperglycemia to frank DM. The underlying genetic or other mechanisms that trigger the onset of T1DM are not known, but ~50% of the familial clustering of genes, which increase the susceptibility risk of inheriting T1DM, are located within or in the human leukocyte antigen (HLA) complex on chromosome 6 (10). The highest risk haplotypes (such as HLA-DR4-DQ8 and DR3-DQ2) are known to confer the greatest risk for developing T1DM, particularly when occurring together. However, ~10% of patients with DM do not carry any of these high-risk HLA class II haplotypes (10).

Autoimmunity in T1DM relies on the detection of insulitis, islet cell antibodies (ICA) and activated beta-cell-specific T lymphocytes (11). These beta-cell-specific autoantibodies are thought to be the molecular markers of the diabetogenic process. Although the type of antibody a patient has is an important indicator of the disease, a patient's progression to develop DM can be predicted more accurately if they have an increasing number of antibodies (12). Insulin Autoantibodies (IAA) tend to appear early on in a child's life with other antibodies [such as Glutamic Acid Decarboxylase (GAD65), insulinoma-2 antigen antibodies (IA-2A), and Zinc transporter-8 (ZnT8)] appearing later (13). The presence of one or more of these autoantibodies increases the risk of developing T1DM (12).

A recent study (14) estimated the prevalence ZnT8A in juvenile-onset T1DM, to establish its utility as a standalone marker for T1DM in subjects who tested negative for other antibodies. This study (14) also investigated ZnT8A's co-existence with other antibodies such as GADA and insulinoma-2 antigen antibodies (IA-2A). When compared to other antibodies, prevalence of ZnT8a (31.8%) was lower than that of GADA (64.7%), but higher than IA2A (19.3%) (14). While 45% of newly diagnosed patients tested positive for ZnT8A, it was uniquely present in 26% of these patients (where patients tested negative for GADA and IA-2A) (14), which was a much higher value when compared to the unique presense of IA-2A in just two patients. Hence, this study (14) found that the combined presence of GADA and ZnT8A were better predictors of T1DM (at 97%) when compared to IA-2A. In one study (15) 32% of cases (in 12 out of 38 children in the study) with T2DM were antibody positive, where the patients were primarily obese and females of pubertal age.

Type 2 Diabetes Mellitus

T2DM is a chronic disease, which is complex and heterogeneous in its manifestations (16). Its risk factors vary with environmental, social and behavioral patterns and are also susceptible to genetic variations. Childhood obesity is the primary cause of T2DM at a young age. The increased prevalence of obesity over the last two decades has increased the number of patients who have T2DM. In the Arab world, it is estimated that the number of diabetic patients (adults and children) will increase by 96.2% by 2035, mostly driven by the increase in T2DM (17). Although genetic factors may be contributing for the increased number of T2DM cases being diagnosed in children in the Middle East, changing the lifestyle that has resulted in urbanization, unhealthy and sedentary life and obesity due to rich food intake, have also contributed to the increased prevalence of T2DM (18).

Maturity Onset Diabetes of the Young (MODY)

Maturity Onset Diabetes of the Young (MODY) occurs due to defects in a single gene. It can affect about 4% of diabetes patients. MODY generally occurs before the age of 25 and typically several family members might be affected (autosomal dominant inheritance pattern). Mutations in 12 different genes have been identified as causative of MODY (19). Encoding the commonest causes of MODY are mutations in the genes Hepatic Nuclear Factor 1 Alpha (HNF1A) and HNF4A and the enzyme Glucokinase (GCK) (15, 19, 20). MODY is commonly misdiagnosed as T1DM or T2DM. A diagnosis of MODY based on genetic testing can benefit patients as some of these patients can be managed by oral sulphonylreas (21).

Neonatal Diabetes

Neonatal diabetes mellitus (NDM) is classified as an early-onset (below 6 months of life) and rare form of diabetes that affects newborns with an increased rate of incidence of 1:90,000 which is nearly four times the number previously reported (19, 22, 23). Transient NDM (TNDM) and permanent NDM (PNDM) are the two main forms of NDM, which are classified according to the duration of the insulin dependency. About 50–60% of the cases are TNDM and the disease is generally expected to resolve in <18 months (24).

NDM in western countries is caused by defects in the KCNJ11/ABCC8 genes, which encode for the pancreatic beta-cell KATP channel (25). However, NDM in the Middle East, among Arabic populations has a different genetic basis when compared to westerners (26). Mutations in the Glucokinase (GCK) gene is a frequent form of NDM in countries with high consanguinity rate since a homozygous or a compound heterozygous mutation in this gene leads to complete glucokinase deficiency that results in PNDM (27). Higher rate of consanguinity among Arabs makes PNDM mostly likely to occur as part of a recessively inherited syndrome such as Wolcott-Rallison syndrome, Fanconi-Bickel syndrome, and thiamine-responsive megaloblastic anemia and hearing loss (also known as Rogers's syndrome) (26).

Maternally Inherited Diabetes

Organelles such as the Mitochondria, contain circular DNA, called mtDNA. They are inherited through the maternal allele since they are present only in the oocytes. Defects in mtDNA are suspected to cause many diseases that include diabetes (28). The defective mtDNA can gradually cause damage to the beta-cells. The m.3243A>G mutation in the mtDNA (that codes for tRNA leucine) is the cause of this disease in over 85% of the patients. Since this disease is inherited only from the mother, it is called maternally inherited diabetes (29).

Syndromic Forms of Diabetes Mellitus

DM may also be associated with some rare syndromes involving other pancreatic features. Some of these rare syndromes include Wolfram (or DIDMOAD for diabetes insipidus, diabetes mellitus, optic atrophy, and deafness), Wolcott-Rallison, Alstrom, Bardet–Biedl, and Rogers's syndrome. Wolfram syndrome is the association between DM, diabetes insipidus, optic atrophy and sensorineural deafness (30), caused by defects in the WFS1 gene that is the negative regulator of endoplasmic reticulum signaling. Wolcott-Rallison occurs due to an autosomal recessive condition (that is rare), which results in an early presentation of DM accompanied by skeletal dysplasia, growth retardation, and multisystem clinical manifestations due to defects in the EIF2AK3 gene (31). Alstrom syndrome results in loss of vision and hearing, dilated cardiomyopathy and DM (32), caused by defective ALMS1 gene. Rogers's syndrome is due to defects in the SLC19A2 gene. Rogers's syndrome comprises of megaloblastic anemia, DM and sensorineural deafness (33). The clinical features of Bardet-Biedl include rod-cone dystrophy, with childhood-onset visual loss preceded by night blindness, postaxial polydactyly, truncal obesity, and DM (34).

Autoimmune Monogenic DM

Autoimmune monogenic DM is a relatively new group of diseases, where DM is associated with multiple autoimmune defects in these four genes: autoimmune regulator (AIRE) part of autoimmune polyendocrine syndromes (APS) (35, 36), forkhead box P3 (FOXP3) (37), sirtuin 1 (SIRT1) (38), and signal transducer and activator of transcription 3 (STAT3) (39). Defects that occur in any one of these genes can cause autoimmune diabetes that can affect many other organs, suggesting that in some patients, diabetes may be part of a complex autoimmune process involving multiple organs.

Rationale and Scope of This Study

There are several reviews published in the literature which were specially tailored to look at studies published under DM in the Middle East (ME). Appendix A lists nine of these reviews. The first review investigates the burden imposed by DM on the Saudi population and recommends ways to mitigate this disease (17). Other reviews discuss the increasing prevalence of DM and advocate a better understanding of the epidemiology and early detection and control of DM among subgroups in the population (4042). A third review (43) recognizes the paucity of DM related research and publications in the Middle East when compared to other advanced countries. The recommendations of this review are also along the lines of control of DM through diet and changes in lifestyle (43). A fourth review (44) recognizes that consanguineous marriages, a customary practice peculiar to the Arabic regions, can predispose the population to novel and unique genetic mutations that can cause DM. They emphasize the need for establishing a diabetes registry (44), based on Arab populations that encompasses 22 Arabic speaking countries. They reiterate that the information related to genetic variants in non-Arabic populations discovered elsewhere, will probably be irrelevant for understanding the epidemiology and underlying genetics in the ME populations. They point out that very few registries are currently available among the ME countries and is one of the studies that advocate a collaborative approach to research in DM. The remaining two reviews report on the alarming trends in DM which seem to affect an increasing number of urban, female and younger populations (45, 46).

Although many review papers have been published, they are limited to certain types of diabetes such as T1DM, T2DM (40, 47), and diabetic ketoacidosis (DKA) (48). There is no mention of other types of diabetes such as MODY, autoimmune monogenic forms and other rare forms such as mitochondrial DM and syndromic forms that can affect children. Some of these reviews are limited to only certain ME countries, where the studies took place (43, 49). The nature of these articles are quite diverse but are mostly limited to observational studies that advocate disease control. Some articles provide information on DM in areas outside of the Middle East (50, 51) and some of them do not cover pediatric populations exclusively (4145). Hence there is a need for a comprehensive review that encompasses all the topics of interest discussed above that pertain only to children and adolescents.

Our study aims to cover all manifestations of childhood diabetes research that has been reported in the Middle East countries. It will investigate the state of research for all the sub-types of DM disease in children, to provide a consolidated and comprehensive view of the current state of affairs in DM. We are not aware of any previously published systematic reviews that have addressed these fundamental research questions on childhood DM in the Middle East.

Aims of This Study

Although childhood DM is common in the Middle East, T1DM, NDM, and syndromic forms of diabetes have a high incidence rate in this region (17, 45). The prevalence of diabetes has steeply increased over the years in the Middle East and the region has been increasingly burdened with childhood DM. The existing reviews do not include studies on all types of DM and there is very little information on studies that investigate the molecular basis of the disease. Hence, we undertook a systematic review of publications that relate to research on childhood diabetes in the Middle East. The key questions we wanted to address were:

a) What types (basic, clinical, and translational) of research has been reported in childhood DM?

b) What impact does this research have on the local population of children in the Middle East?

c) What research strategies are in place to tackle the burden of childhood DM in the Middle East?

d) What funding opportunities are available for childhood DM research in the Middle East?

e) What collaborations exist between different Middle Eastern countries in childhood DM research?

We hope to make recommendations and suggestions for collaborative research related to childhood DM in the Middle East, based on the knowledge gained from this study.

Objectives

• To systematically review the literature on childhood (aged between 0 and 18 years) DM research in the Middle East region, published between the years 2000 and 2018.

• To summarize the results of studies reporting on childhood DM research in the Middle East.

• To identify key areas and opportunities for research in childhood DM in the Middle East.

• To make recommendations for collaborative research opportunities in childhood DM based on our identification of key areas that need attention to improve diabetic care.

Methods

We aim to review the state of research in pediatric diabetes in the Middle East region. We broadly follow the guidelines provided by Agency for Healthcare Research and Quality (AHRQ) Methods Guide for this comparative effectiveness review (52, 53) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (54).

Literature Search Strategy and Study Selection

Initially, we identified our objectives (section Objectives) and predefined our search criteria for articles based on these objectives. Four months were earmarked for the literature search and collation of articles by two analysts (SS and SAK). Three months were earmarked for the analysis and review of the articles by senior authors (KH and NE).

We undertook an extensive literature search as suggested by PRISMA (54), to recover articles of primary interest that were published in English. We used the internet to search the electronic bibliographic databases for publications reporting research studies in the Middle East that addressed problems related to diabetes in children and adolescents. The dates included in the search for these studies were over a period of 18 years, between January 1st, 2000 and October 31st, 2018. Search terms and these search strategies are detailed in Table 1. Articles that had any of these search terms in their titles, abstracts or keywords list, were collected. EndNote©, a reference management software, was used to share and keep track of the titles and abstracts of articles of interest. A systematic list of articles detailing the eligibility/selection criteria for each of the articles was also maintained in Microsoft© Excel and categorized according to year of publication, age, study type, study design, study size, and prevalence of each subcategory of the disease.

TABLE 1
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Table 1. Search terms and search strategy.

Four hundred and eighty-six (486) articles were initially identified through a database search in PubMed, Medline, NEJM, BMJ, Pubtator, Science Direct, and Google scholar (Figure 1). We obtained an additional thirty-seven (37) articles through other means such as Google search. Two analysts performed independent analysis of the titles and abstracts to eliminate articles that were unrelated or duplicated, to finally obtain four hundred and fifty-seven (457) abstracts. After removing another twenty-eight (28) irrelevant abstracts, we assessed four hundred and twenty-nine (429) full-text articles for inclusion criteria in this study.

FIGURE 1
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Figure 1. Article selection using PRISMA (54) methodology, as described under the Methods section, was used to select 95 articles for our review of which 53 articles relate to previous reviews (10), clinical and molecular research studies (43) in DM. The given figure is a modified version of the PRISMA methodology (54).

Full-content articles were downloaded for the 429 abstracts and were examined and critically analyzed by two senior reviewers (KH and NE), to evaluate their suitability and to determine any bias in the selection of articles. Articles were removed if their content related to non-Middle-East regions, non-diabetic studies, written in a language other than in English, patient age was above 18, case reports or not peer-reviewed (conference presentations). Once agreement on the included articles was reached, data was extracted from the full-text articles. We used the PRISMA methodology (54) to select the final set of articles for qualitative synthesis in our review. Ninety-five (95) articles that included previously published reviews and reference materials were collected for qualitative synthesis, where the reviews were used only for content comparison. Finally, fifty-three (53) articles, that were published in the Middle East Region that pertained only to diabetic-related clinical or molecular studies were selected for quantitative synthesis (listed in Appendix B). Of these articles, nine (9) studies were previously published reviews that were used to determine their contribution to existing knowledge and to identify gaps that are to be filled. The remaining forty-four (44) articles were then separated into sub-groups according to the nature of the disease, as seen in subtitles in section Results of this paper.

Inclusion Criteria

We included all articles that were published in the Arab countries that were related to diabetic studies on children below 18 years of age. We included only full-text publications and original articles that were published in the peer-reviewed journals (Table 1) between the years of 2000 and 2018. Articles that were printed locally in Arab countries (Table 1), in journals that related to diabetic studies on children below 18 years of age, were also included in our studies. The initial research included all types of research study designs such as meta-analysis, randomized controlled trials (RCT), observational studies, case-control, and cross-sectional studies, although those that were finally selected consisted of mostly prospective or retrospective observational studies.

Exclusion Criteria

We excluded studies that were based only on adult populations, articles that were not written in English, review articles (used only for discussing their content), conference abstracts, and case reports (with one exception that illustrates the use of diabetic monitoring devices).

Data Collection and Quality Determination for Individual Studies

For study identification and data collection, two analysts (SS and SAK) extracted and stored details of the underlying data in an excel database: These details were then used for analysis and scoring of the quality of the studies and quantitative synthesis later on. Appendix C lists sample data collection forms that were the basis for the collection of data in each study. Appendix D contains the evidence table for the 44 studies, which holds the collection of actual data from all 53 studies selected for quantitative synthesis (nine of these studies are previous reviews used for content discussion). Appendix E shows the meta-analysis for collaborative studies that involve multiple countries.

Several criteria were used to determine the quality of each study and the final score was used to classify the selected articles in this study as belonging to levels 1–4, where level-1 studies are of highest quality and level-4 is the lowest, as per the guidelines that are given by AHRQ methods guide (52, 53). Quality scores for individual studies are given in Appendix D in the evidence table. The following data and quality metrics were collected from each study. A combination of these scores was used to assign the final quality score (levels 1–4) to each study.

Study type: Was it retrospective/prospective observational study or did it involve molecular work? A higher value was given for prospective studies compared to retrospective studies, while molecular studies were given the highest preference.

Study design: Was the type of study regional/national/worldwide? was it a single/multi-center study? A higher value was given for national and/or multi-center studies.

Length of study: Studies that lasted over a year had a higher value.

Patient characteristics: studies with clearly stated details of participant numbers, age and gender were allocated a higher value. Studies with >1,000 participants, even distribution of age groups and equal representation of each gender were valued more.

Study quality: Were outcomes predefined? Any presence of confounding elements/bias? Did the studies include many types of DM? Higher values were given for studies that had defined outcomes, had minimum bias and covered many types of DM included in the study.

Study standard: Did the study have ethical approval, declaration of no conflict of interest (COI) by all authors and was the study funded? Higher values were assigned if the studies had all or at least any two of these standards satisfied.

Study outcome: Did the study have a clear outcome/conclusion that matched its declared aim? Studies that satisfied these criteria were valued more.

DM occurrence: Incidence and prevalence of DM (per 100,000 per year), if these figures were given. Not many studies gave these values clearly in their conclusions. Hence this information was not used to rank the studies, to maintain uniformity.

The studies reviewed were widely varied in many of the criteria listed above such as the number of participants, length of study, type of study, outcomes, and disease covered. This variability did not make it meaningful to combine and compare them under one single criterion. Each study was scored under the common sets of criteria outlined above, as recommended by the AHRQ methods guide (52, 53), that pertain to our study. Level-1 is ranked as the highest rating and level-4 as the lowest rating. Figure 2 shows that there were 13 studies categorized as “level-1,” which essentially had two of three criteria such as ethics approval, COI declared and/or had funding, in addition to being long term studies with large cohort. There were seven studies that were classified as “level-2,” 17 studies which were labeled as “level-3” and six studies that did not meet most of the above criteria, were classified as “level-4.” Technology oriented studies were not ranked. Four Molecular studies were automatically assigned high values. If there were no known COI declared then the studies did not come up to a “level-1” grade (most of these studies were from previous years, from older studies). All studies were included in this review since missing information was not a criterion used to eliminate studies. These rankings were used to determine the degree of the contribution that each study made to our article as a whole.

FIGURE 2
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Figure 2. Number of studies under each quality rating—based on predefined quality criteria as satisfied by each study, where level-1 is the highest rating and level-4 is the lowest rating, where the rating is determined according to the AHRQ methods guide recommended standards for meta-analysis (52, 53).

Data Synthesis and Analysis

For the methodological assessment, the following aspects were evaluated: Differentiation and classification between T1DM and T2DM, NDM, MODY, syndromic, autoimmune monogenic, insulin-dependent, estimation of prevalence and incidence.

Results

Type 1 Diabetes Mellitus in the Middle East

Studies Reporting on the Incidence and Prevalence of T1DM in the Middle East

The rates for childhood T1DM (prevalence and incidence) across the top ranked 10 countries is shown in Tables 2, 3 for the year 2015 for age <15 years and for the year 2017 for age <20 years (3, 4).

TABLE 2
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Table 2. Top 10 countries for children diagnosed with T1DM for age <15 years of age in 2015 and for age <20 in 2017 (3, 4, 55).

TABLE 3
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Table 3. Top 10 countries for children with incidence rates (per 100,000 per year) for T1DM, for age <15 years of age in 2015 and for age <20 in 2017 (3, 4, 55).

The International Diabetes Federation has reported (4) that Saudi Arabia has one of the highest numbers (35,000) of children and adolescents (aged 0–19 years) with T1DM. Table 2 shows the numbers for the prevalence of T1DM in the top 10 countries, where Saudi Arabia's prevalence value increases from 16,200 for ages <15 years (ranked 7th in 2015) to 35,000 in 2017 for ages <20 years (4), although it falls by one rank to 8th place. Although the numbers for 2017 are for a larger group of age <20 (instead of age <15 years), the increase in numbers is much larger even after accounting for the additional number of adolescents this would bring for the years 15–20.

All values discussed below are incidence per 100,000/year. The rates for childhood T1DM across European countries vary between 40 and 67 for Sardinia (40), Sweden (47) and Finland (>60). This study found a higher incidence of T1DM occurring in males (1.3–2.0 times) compared to females, for children aged >15 years (55). The global trend has generally shown a steady increase in childhood-onset of T1DM while the age of onset is much earlier than seen before (55).

In a study conducted in Eastern Saudi Arabia, over a period of 18 years between 1990 and 2007, the average incidence rate for T1DM (438 patients, <15 years) rose from 18.05 in the first 9 years to 36.99 in the second half of the study, for an average increase of 27.52 per year (56). No significant increase in the incidence of T1DM was found in patients below 5 years of age (21% of the cohort) when compared to patients in the age group over 5 years of age. In a 5 years study (2004–2009) in North-West Saudi Arabia in Al-Madinah (57) on children below 12 years of age (419 patients) the mean age of onset was 6.9 ± 3.5 years, with an incidence rate of 29. This study found a higher incidence rate for children between 10 and 12 years of age, with the rate higher in girls (33) than in boys (22), but they did not find any significant annual increase in incident rates (57).

In a study conducted in the Al-Baha region in Saudi Arabia (58) over 10 years (2007–2016), on 471 children below 19 years of age, the prevalence rate of T1DM was dramatically high at 355, which could be cause for great concern. The female to male ratio in the cohort was 1:1.36 where T1DM was more common among girls at 57.5% compared to 42.5% among boys. This number is much higher than those given for other countries outside the Middle East (55).

The incidence of childhood T1DM varies from one country to another globally, as given for the top 10 countries in Figure 3 and Table 3. Kuwait and Saudi Arabia ranked 2nd and 4th in the world with incidence rates of 44.5 and 33.5 per 100,000 per year, for ages of children and adolescents < 20 years. Kuwait jumped from 3rd rank in 2015 to 2nd rank in 2017, while Saudi Arabia rose from rank 5 to rank 4 (although previous ranks in 2015 were for ages <15 years). The details for all countries are shown in Table 3.

FIGURE 3
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Figure 3. This figure gives the incidence (per 100,000 per year) for the top 10 countries in the world, according to the International Diabetes Federation (4), where, Kuwait and Saudi Arabia rank 2nd and 4th in the world with incidence rates of 44.5 and 33.5 per 100,000, for ages of children and adolescents <20 years. *The data for Morocco, was extrapolated from Algeria. The details for all 10 countries are shown in Table 3.

Another study from the Eastern Province of Saudi Arabia found no etiological influences in children with new-onset T1DM for any of the following factors such as, maternal age at birth, birth order, birth weight, early introduction of cow's milk and cereals, infections and vaccines as well as nitrate levels in drinking water (59). These factors did not explain the rising incidence of T1DM in this population (59). Data on the national prevalence of T1DM, T2DM, and pre-diabetes in childhood is limited in Saudi Arabia. In one study, the incidence rate was calculated as 109.5 per 100,000 for Saudi Arabia and fifty adolescents and children were newly identified as having T1DM (60). The prevalence rate was highest at 243 per 100,000 for the age group 13–16 years of age, in this study. This study reports that the highest rate of prevalence for T1DM was 162 in the central region, and the lowest was 48 (per 100,000) in the eastern region (60).

The Saudi Abnormal Glucose Metabolism and Diabetes Impact Study (SAUDI-DM) was used to assess the prevalence of T1DM and T2DM, as well as impaired fasting glucose (IFG) among children and adolescents (61). Socioeconomic and demographic information, clinical details and measurements on common tests [weight, Body Mass Index (BMI), and height] were collected from randomly selected adolescents and children who were <18 years of age. The prevalence of diabetes in this cohort was 10.84 and 0.45% were known to have both T1DM and T2DM. Nearly 90% of the people in this study were not aware that they had diabetes. 10.39% of those in this study were newly diagnosed with either having diabetes (4.27%) or impaired fasting glucose (IFG) (6.12%). The statistics obtained from this study indicated that T1DM and T2DM were prevalent at a much higher rate than what was reported by international organizations and this included data on newly identified cases. There were many significant at-risk factors for developing DM and IFG which included data on age, gender, obesity, urbanization, higher income and the presence of lipids which are known to occur as a result of unhealthy diet and lifestyle (61).

Table 4 summarizes the statistics from the reviewed studies that report the incidence and prevalence of DM in Middle East countries such as Saudi Arabia, Kuwait, and Qatar. The incidence for Kuwait is 41.70 in 2017 for children <14 years of age (62). Qatar has lower prevalence at 28.39 for children between 6 months and 14 years of age when compared to Kuwait and the Kingdom of Saudi Arabia (KSA) which have higher prevalence at 39.5 and 29.8, respectively (Table 3). But, it still shows a 5.75% increase between the years 2012 and 2016 (Table 4) compared to 3–4% increase in Childhood T1DM worldwide (55) in Table 2. The rates for East Asian and Native Americans are very low at 0.1 and 8, which are nowhere near the higher rates for all other countries. Perhaps a comparative study that includes differences in the genome, food habits and environmental factors between these countries and those in the Middle East can help to identify causative factors that can help with DM management.

TABLE 4
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Table 4. Statistics from the reviewed studies on the occurrence of T1DM in the Middle East.

A study from Kuwait reported the incidence of childhood-onset T1DM during the years 2011–2013 for children who were below age 14 (47, 62) and compared it with a previous study done in 1992–1997. This study detected an increasing trend in the incidence of T1DM from 17.7 in the previous study to 40.9 per 100,000 per year in 2011–2013 (2.3 times higher), as detailed in Table 4 (62). They found a higher incidence rate for girls (44.1) when compared to boys (39.3) (47, 62). Another study from Kuwait aimed to understand the social and metabolic characteristics [lipids, lipoproteins, apolipoproteins, lipoprotein (a), and total sialic acid] and predisposing factors in 6–18-year old Kuwaiti children with T1DM (63). Children's metabolic and social characteristics were affected negatively when compared to those who were normal controls (63).

A prospective cohort study was performed in Qatar to estimate the occurrence of T1DM and T2DM among patients who were below 14 years (47). The aim was to ascertain all new cases of T1DM and T2DM in Qatar, in the only tertiary care center treating children with DM in Qatar. The results, given in Table 4, indicate there is an increase in the incidence rates of T1DM and T2DM between the years 2006 and 2016 (47).

Another study from Qatar compared the difference between familial T1DM and non-familial T1DM in terms of the clinical aspects and other biochemical measures such as lab results. This retrospective study, conducted between 2012 and 2016, across a cohort of children and youth with T1DM (n = 424), aged between 6 months and 16 years, concluded that familial T1DM was more prevalent in boys than girls (1.4:1, respectively). The prevalence of non-familial T1DM (1:1.1, respectively) did not differ between genders (64). Familial T1DM occurred relatively early in childhood (40.7% before the age of 4 years and 72% before 9 years of age) vs. non-familial T1DM which occurred relatively later in life (80% when they are over 4 years old and 40% after they were 9 years or older). Familial T1DM was more prevalent in boys vs. girls and occurred earlier in childhood compared to non-familial T1DM (64).

A recent study from Iran also found that the annual incidence of T1DM for children under 15 years of age, between the years 2000 and 2015, was 13.35/100,000 (49). Adding the 2nd study period (15 years in total), the study disclosed a rapid rise of incidence as 89, 134, and 691 new diabetes cases for the 1st, 2nd and 3rd years respectively, over a period of 5 years (where new cases were at the rate of 5 per year) (49).

Table 5 reports on country-wise statistics on the occurrence of T1DM in the Middle East from IDF Diabetes Atlas: Country reports 8th Edition (4).

TABLE 5
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Table 5. Country-wise statistics on the occurrence of T1DM in the Middle East from IDF Diabetes Atlas: Country reports 8th Edition (4).

Studies Reporting on the Autoantibody Status in the Middle East

There is limited data on autoantibody status in T1DM in the Middle East. A study was conducted on patients diagnosed with T1DM and T2DM to determine the prevalence of auto-antibodies GAD65 (GADA) and IA-2 antibodies (IA-2A) of Saudi diabetic patients living in Jeddah (65). Eight out of 99 patients who had T2DM tested positive for GADA and three of these patients (who had the disease for a shorter time) were also positive for IA-2A. Here, the association of these autoantibodies was in patients who had an early-onset of T2DM, where GADA was positive in 54% of T1DM and IA-2A was positive in 27%. All patients who had T2DM and who tested autoantibody-positive were treated with insulin therapy (65). In the Middle East, autoantibodies are likely to be found if the disease-onset is at a younger age (65). Female patients with T1DM were more likely to have GADA present (65).

The study from Qatar (as given in Table 6) (66) reviewed all clinical and biochemical data, including beta-cell autoimmunity (GADA, ICA, and IAA) over 5 years. These values were analyzed and the results were compared with other studies to measure the prevalence of autoantibodies and their relationship to related diseases. This study reports a higher rate of T1DM occurrence for Qatar compared to the other countries and they reported that these incidences increased over the study period. They also report a higher prevalence of diseases related to the autoimmune abnormalities as shown in Table 6 and recommend regular screening of patients for these disorders (66). It can be seen from the values in this table that a larger percentage of the T1DM patients have severe autoimmune response compared to the T2DM group, for each of the categories, except for Anti-insulin Ab, where T2DM percentage for prevalence is higher.

TABLE 6
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Table 6. Results of a cross-sectional study conducted in Qatar, on the antibody status in 490 T1DM and T2DM patients during 2012–2016 (66).

Studies Reporting on the HLA Haplotypes Among the Middle East Populations

Table 7 shows the heterogeneity in HLC class II haplotype distribution found among Lebanese and Bahrainis. This table lists the alleles, haplotypes, differing associations, and frequency of homozygous alleles (67). The results of this study, indicate that, when determining a patient's susceptibility to T1DM, with respect to a specific HLA haplotype, the patient's ethnic and racial background needs to be taken into consideration.

TABLE 7
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Table 7. HLA class II haplotypes distribution among Bahraini and Lebanese T1DM patients (67).

T1DM patients in Bahrain have similar associations between DRB1 and DQB1 alleles and diabetes as was found in European populations (who may or may not have Arab descent), such as individuals in Turkey (68), Spain (69), and the United Kingdom (70). These data suggest that diabetes that occurs in children below 5 years of age indicates a high familial risk (70). On the contrary, there was only a weak association between DRB1*040101-DQB1*0302 with T1DM in the Bahraini population and there was no negative association with DRB1*1501-DQB1*06 with T1DM (71).

Studies Reporting on Diabetes Complications

It is estimated that around 96,000 children who are <15 years old will develop T1DM every year and between 13 and 80% of these children are expected to have DKA when they are diagnosed with T1DM. The highest number of cases were found in the UAE, KSA, and Romania and the lowest occurrences were in Canada, Sweden, and the Slovak Republic (48). The frequency of DKA is significantly greater in T1DM adolescents with a higher HbA1c level, lipodystrophy and those who had discontinued insulin treatment (72). Most of the studies relating to DKA in the Middle East are from Saudi Arabia. The UAE and Saudi Arabia have the highest frequencies (80 and 44.9% respectively) of DKA in children at the time of presentation (73).

Infections were the most common precipitating factor for DKA (82.1%) in Al-Baha, Saudi Arabia (74). An episode of DKA was the first clinical presentation of diabetes among 52 (65%) patients (74). In a retrospective study from a single center in Saudi Arabia, the predominant precipitating cause of DKA were viral infections and non-compliance to the insulin regimen of the diagnosed diabetic cases (75). In Al-Madina, Saudi Arabia, DKA affected 55.3% of the patients on disease-onset, where the average age of the patients was 6.7 years and the female: male ratio was 1.4: 1 (76).

In a study from Kuwait of all children diagnosed with T1DM, 36.7% had DKA with young children (0–4 years) at the highest risk (77). Data which was obtained from the Eastern province of Saudi Arabia shows that three-quarters of patients with T1DM had ketoacidosis on presentation (78). In a study from the Pediatric Endocrinology Clinic of the Maternity and Children Hospital, Jeddah, from 2000 to 2014, the most significant independent predictors of DKA were poor compliance with a healthy lifestyle and an excess intake of sweets (79).

Studies Reporting on the Incidence and Prevalence of T2DM

A retrospective cross-sectional study addressed the prevalence of hyperinsulinism and T2DM in overweight and obese Saudi children (80). The overall prevalence of T2DM was 9.04% (80). Among children and adolescents with T2DM, the majority (62.86%) had a body mass index (BMI) ≥ 85th percentile, 37.14% had a BMI ≥ 95th percentile (80).

A retrospective study from the Al-Ain hospital from UAE characterized the features of T2DM among children and adolescents. Of 96 young people newly diagnosed with DM, 11% were identified as having T2DM (81). The clinical characteristics were: pubertal onset, female preponderance, obesity, strong family history of T2DM, high plasma glucose at presentation, adequate beta-cell reserve and antibody negativity.

A study from Kuwait determined the prevalence of T2DM among patients between the ages of 6–18 years. Children with T2DM were identified at 182 schools (50 primaries, 63 intermediate, and 69 secondaries), randomly selected, using the 2000/2001 educational districts' registers as a sampling frame. T2DM was identified in 45 of the 128,918 children surveyed, thereby giving an overall prevalence of 34.9 per 100,000, with significantly different prevalence for males at (47.3, 95%) compared to females (26.3, 95%), with a trend for increased prevalence with age (p = 0.026). The final age-adjusted prevalence values for the Kuwaiti population for T2DM, in the year 2002, was 33.2, 41.6, and 24.6 for overall, male and female groups, respectively (82).

GWAS studies have successfully identified over 80 variants found in T2DM patients with small effect size where the risk for T2DM diabetes increased between 5 and 40%. A majority of these genes regulate insulin secretion while a few regulate insulin sensitivity (83). But, a recent study has indicated that T2DM variants (rs7903146 and rs4506565) in Asian and European populations are not predictors of T2DM in the Qatari population (84). Hence this study suggests that Qatari population might have different variants that might be risk factors for T2DM in this region.

Studies Reporting on the Incidence and Causes of Neonatal Diabetes Mellitus

Several studies conducted in the Gulf region have reported higher incidences of NDM compared to worldwide estimates reaching 1:260,000 live births (85). Incidence of PNDM is 1:31,900 in the United Arab Emirates (UAE) (86), and 1 in 21,196 live births in KSA (85), mainly as part of rare autosomal recessive syndromes. A study from Iran found that Wolcott-Rallison syndrome was a common cause of PNDM (87). In a study published in Oman, genetic abnormalities were found in 15/24 (62.5%) of their patients with PNDM (88).

Maturity Onset Diabetes of the Young

The incidence of monogenic forms of diabetes in childhood has not been identified in Saudi Arabia or any of the Middle East countries (89).

Studies Reporting on Syndromic Forms of Diabetes Mellitus

Autosomal recessive syndromic disorders that are generally considered rare, are highly prevalent in the Arabian Gulf region. The highest incidences worldwide were reported from Saudi Arabia in association with PNDM (85). Fourteen out of 17 (82.4%) patients had been affected due to inheriting defective genes that cause Wolcott-Rallison syndrome (41%), NDM and hypothyroidism (29.4%), Fanconi-Bickel syndrome (5.8%), and thiamine-responsive megaloblastic anemia (5.8%). Another study from Emirates reported nine out of 25 patients with PNDM (36%) with Wolcott-Rallison Syndrome (86).

Mitochondrial Diabetes Mellitus

No studies have reported the incidences of childhood mitochondrial DM in the Middle East region.

Miscellaneous Forms of Diabetes Mellitus

Very little data is available on the prevalence of mutations in FOXP3, AIRE, SIRT1, and STAT3 in the Middle East, except for a few case-reports from children in the Arabian Gulf region (90).

Studies Reporting on the Use of Technology to Improve Diabetes Management

Added Value in Using Insulin Pumps

A study was conducted in UAE to see if there can be better health perception and patient satisfaction after treatment, if insulin pumps were used by children and adolescents (91). The authors found that it provides more value in terms of treatment and satisfaction, irrespective of the duration of use of the insulin pumps.

Added Value in Using Monitoring Devices That Aid Insulin Control

Another study from the UAE investigated various insulin pump functions and their efficacy in controlling blood glucose. CareLink® Pro 3 software was used for 8–12 weeks (92). They found that if the patient combines the use of Bolus wizard with frequent blood glycemic monitoring, it could help to control blood sugar levels. Another study assessed the benefits of using the flash glucose monitoring system (FGMS) in children and adolescents with T1DM during Ramadan fasting (93). They found that this device could help to fast during Ramadan, without being subject to life-threatening situations that might arise due to hypoglycemia or DKA. Another study from Riyadh, Saudi Arabia, conducted a prospective pilot study of 51 participants with T1DM where they compared the use of the flash glucose monitoring system (FGMS) against the use of continuous subcutaneous insulin infusion (CSII). They did not find much difference among users during Ramadan fasting but found that CSII helped to keep the fluctuations in glucose levels to a minimum (94).

In a study from Qatar, CSII significantly improved glucose control in T1DM children and adolescents who use a standardized protocol. A reduction of HbA1c by 1.6% was achieved after 1 year of CSII initiation (95). A report from Qatar was the first to demonstrate the use of the hybrid closed-loop system in managing a patient with T1DM that resulted in a 1.3% decrease in HBA1c value. The time in range significantly increased to 77% with sensor glucose (SG) values of 139 ± 60 mg/dl, sensor wear of 82% and an auto mode period of 84% per week (96), suggesting that immediate adjustment of the bolus wizard settings such as the ICHR, ISF, and active insulin time should be considered.

Discussion

Childhood DM is a health problem with major health implications in all regions in the Middle East. This review has highlighted the high incidence/prevalence of different types of childhood DM in this region that include NDM, T1DM, T2DM, and syndromic forms of DM. The high incidence of childhood DM in this region imposes a large economic and social burden on the population. We looked at different regions in the Middle East, where the children's population has been affected by DM and its various manifestations. We also discuss the type of studies that we reviewed and discuss the limitations of this study in terms of selection and language bias. Finally, we answer some of the questions for which this study sought answers, in section Aims of this Study.

Our review of the literature suggests that most of the research reported from the Middle East on childhood DM relates to a large number of a retrospective reviews of notes, a few prospective case studies, systemic reviews of the literature, questionnaire-based studies and case reports. A significant number of retrospective studies report on the incidence and prevalence of different types of DM in childhood in the Middle East and as with all retrospective studies these have the potential to be affected (to some degree) by confounding factors and bias. A few prospective studies have reported on the incidence and prevalence of T1DM.

The results of our systemic review did not find any research studies reporting on the establishment of National Childhood Diabetes Registries in any of the Middle Eastern countries. There is a lack of studies focusing on national epidemiology data of different types (such as NDM, T2DM, T2DM, MODY, and syndromic forms) of childhood DM, limited studies on the full complement of autoantibody status (GAD65, Islet, Insulin, and Zinc autoantibodies) in T1DM and HLA haplotype of different populations in the region. Only a few studies report the use of modern technological advances in the management of DM in childhood from the Middle East. Apart from a few research studies in NDM, there is a lack of studies which address the understanding of the molecular basis of rare forms of DM (which are so prevalent in this part of the world) and developing novel therapies or undertaking clinical trials for common or for these rare forms of childhood DM. Finally, it is unclear from our systemic review if there are any national or regional research funding organizations for childhood DM.

National registries hold collective information on diseases of national interest that can be used to plan and regulate healthcare delivery to the population. Childhood DM is one of the major health problems in the Middle East and yet there is no established National Children's Diabetes registry in any of the countries in this region. These registries can influence and improve health outcomes and reduce health care costs. The information in these registries can be used to competitive advantage by the healthcare providers by adopting best practices. Therefore, establishing National Childhood Diabetes registries is pivotal to the Middle East Region, to advance research and ensure continued health care delivery to the highest standards. National Diabetes registries have been successfully implemented in developed countries such as the United States, Australia, and England (97). Interdisciplinary efforts by registries in these countries, where data is obtained from multiple sources such as physicians, regulatory bodies, national health centers, and other care providers have helped to control and manage the disease and reduce socioeconomic costs (98).

The high prevalence of several different types of childhood diabetes including T1DM, T2DM, NDM, and syndromic forms of DM, provides a unique opportunity to develop research collaborations between the different Middle East countries. However, in our review, there were very few collaborative research studies between the different countries in this region. Government or public health organizations can play a key role in funding and promoting health care programs that will help to reduce the occurrences of chronic illnesses such as the different types of childhood DM. One such implementation program by the national center for chronic disease prevention and the centers for disease control and prevention has helped patients to manage their illnesses better (99). As T1DM is becoming so prevalent in the Middle East the establishment of a reference biochemical/immunology laboratory for measuring diabetes antibodies should be prioritized.

There is very little knowledge that relates to childhood diabetes research-funding opportunities in the Middle East as this information is not freely available. No formal joint funding organizations between different countries have been established which could fund childhood diabetes research in the Middle East. There is a dire need to establish collaborative research funding opportunities for childhood diabetes research in this region. Traditionally funding for registries has been sourced from various stakeholders who might be interested in sharing the data collected, such as foundations interested in the history, progress and therapeutic options available for diabetes, government, insurance and regulatory bodies who are interested in the long-term effects and results of traditional and optional treatments, pharmaceutical and device manufacturing companies, patient groups, private funding, and professional societies. Proactively contacting these institutions or resonding to their request for proposals (RFP) might lead to the discovery of unmet needs that can fulfill the funding requirements (100).

Organizations such as the Diabetes UK, the Juvenile Diabetes Research Foundation (JDRF) provide project grants that support high-quality basic and translational research work on the causes and treatment of diabetes. These funds help to make sure that research is progressive, proper and timely treatments are delivered to the families affected by diabetes and these families are supported and given a voice. The American Diabetes Association works with government and health administrative offices to ensure that enough resources are allocated for diabetes research. Similar funding organizations that are geared to support diabetes studies targeted to the local populations can be set up in the Middle East region.

The Middle East region has an abundant resource of patients with rare and unusual forms (for example NDM and syndromic forms of DM) of childhood DM. Patients with NDM and syndromic forms of DM are rare in the Western world but relatively common in the Middle East region. For example, Saudi Arabia and the UAE have the highest incidences of NDM anywhere in the world. This rich resource of unique patients provides an unprecedented opportunity for undertaking molecular biology research in childhood DM and developing novel therapies for these rare conditions in this region of the world. Understanding the molecular mechanisms of DM in these patients provides fundamental new insights into normal physiological mechanisms involved in the development of DM in the childhood period and for novel disease discovery. More importantly, having a genetic basis for diagnosis can greatly change patient management (for example in some cases of NDM or MODY diabetes).

However, in our review, we were struck by the lack of studies in the Middle East region which focus primarily on understanding the molecular mechanisms of the different forms of childhood DM. Several studies have reported the molecular mechanisms of some types of DM (such as NDM) but the molecular analysis was performed by collaborating with laboratories outside the Middle East region and involved sending blood or DNA samples for analysis to laboratories outside of the region. To address this issue, we suggest that a regional molecular genetics laboratory needs to be established which will serve the needs of all the countries in the Middle East for genetic testing for all forms of childhood DM. A pipeline system should be implemented so that all clinicians can send blood or DNA samples for processing to this regional molecular genetics laboratory (Figure 4). This will allow the establishment of a Middle East centralized database and patient registry for all children who are genetically tested for DM.

FIGURE 4
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Figure 4. Shows the national research strategy for childhood diabetes, for developing a national wide pediatric diabetes surveillance and intervention system.

Lack of Funding Specifically for Pediatric Diabetes Studies

A random sample of 10,501 outcomes reported in the Qatar National Research Fund (QNRF) website (as of February 28th 2019) was extracted. This list consisted of publications or articles (online, journal and conference papers, book chapters, creative work, public report, and patents) that were reported as products of 1,223 unique grant awards over the past years. Of these publications, only 89 grants have the keyword “diabetes” in their title, but none of these 89 titles include the keyword “pediatric.” There were only five titles among the list of 1,223 grants, which had the word “pediatric,” but none of these studies were related to diabetes. Hence it is reasonable to estimate that there is no specific funding specifically for pediatric diabetic studies and there might be very few exceptions in more recent years, for which publications are yet to be reported under the grants.

Limitations of This Study

This study has several limitations. Firstly, we were not able to establish if there are any local or regional organizations (like Diabetes UK or JDRF) which traditionally dedicate funding for childhood diabetes research in the Middle East. This information was not easily accessible anywhere. It is possible that there are childhood diabetes research funding institutions in the different Middle Eastern countries but we were not able to capture this information. Secondly, we excluded case reports (with one exception) as a measure of research activity and there were a large number of cases published on patients from the Middle East region so this may well be underreported and introduce bias in our analysis. Thirdly there were some publications that report diabetes research outcome measures in both children and adults together. These were again excluded in the final analysis and could represent a source of bias.

Limitations Due to Selection Bias in Using Only English Language Articles

A meta-analysis of 303 studies, has been conducted by Juni et al. (101) to estimate the effect of language bias introduced due to the selection of only English language articles and omission of other language articles published in local journals. Their study found that non-English language articles on trials had a lower number of participants and in some cases reported more significant results. In addition, the quality of the methodology in non-English reviews was lesser than it was in English language articles. In some studies, treatment effects were generally shown to be higher in non-English language publications but were shown to be lesser in other publications. This study concluded that there might be very little difference (as little as 5%) in estimates of treatment effects that were published in English vs. non-English language trials, while there were mixed benefits shown in other studies that were not conclusive. In another study conducted by Egger et al. (102) the authors found that study authors chose English language journals when the results of their studies were more statistically significant [with an odds ratio of 3.75 (95% CI 1.25–11.3)] than when the results were less significant. So, although we recognize that there might be a bias in our review by including only English language articles, there is no clear evidence one way or the other that establishes definite bias if authors select only English language articles. Hence, we opted to include only English language articles.

Limitations Due to Bias in the Selection of Types of Studies

Many of the studies we reviewed were retrospective or prospective observational studies and not interventional or translational. We found that an overwhelmingly large number of papers were publications that were related to non-Arabic or mixed Arabic cohorts related to DM. Most studies were based only on adult populations and comparatively lesser publications were centered on the pediatric populations, which could introduce some population bias in the information obtained. Many of the 43 studies were clinical with only four studies that were considered to be molecular. There were only three studies related to technology. Hence there could be bias in the selection of the type of study due to the non-availability of literature in terms of molecular studies and technology evaluating studies. We also found that there were not many collaborative studies where more than one country was involved. Figure 5 gives the number of collaborations for each study, which ranges from single country studies to one that has up to seven countries involved in a study.

FIGURE 5
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Figure 5. Shows the number of collaborative research studies in the Middle East, with studies involving only one country (28 studies) to some that involve many countries, the highest being seven countries in one of the studies.

Key Questions That Were Answered in This Study

a) What types (basic, clinical, and translational) of research has been reported in childhood DM? There were no basic or translational research studies. Mostly there were clinical studies, with a few molecular and technological studies.

b) What impact does this research have on the local population of children in the Middle East? These studies were very relevant to the local population but the emphasis was on the management of the disease rather than on offering better and improved treatment options.

c) What research strategies are in place to tackle the burden of childhood DM in the Middle East? An increasing number of molecular studies are taking place that identifies factors pertaining to the local population. This can improve the standard of health care for the local population.

d) What funding opportunities are available for childhood DM research in the Middle East? Only six of the 44 projects were funded in this review. Increasing funding opportunities for childhood DM research is imperative.

e) What collaborations exist between different Middle Eastern countries in childhood DM research? We found that most studies (28) were stand-alone and performed in one country only, whereas there were other studies where several countries were involved (Figure 5), where the number of collaborating countries ranges from 2 to 7.

Conclusions and Recommendations

Childhood DM is a major health burden for the Middle East region which needs to be addressed urgently. The incidences of both T1DM and T2DM in childhood are increasing rapidly in the Middle East region and urgent research efforts are needed to be focus on understanding the reasons behind this. Comprehensive national and regional epidemiological data on all types of childhood DM needs to be collected and databases set up. National and regional funding schemes for basic and translational childhood diabetes research should be established with support from central governments. The challenges of childhood DM can only be tackled by undertaking focused research which addresses the issues of regional collaboration, establishing a regional molecular genetics laboratory, building comprehensive epidemiology data, focusing on understanding disease mechanism/s and pathophysiology and establishing a regional childhood diabetes research funding organization. As the field of childhood DM advances and new treatments come on board, the Middle East region should be prepared to embrace and implement the new state of the art research [such as possible islet transplantation, stem cell-based therapies, induced pluripotent stem cell (iPSC) based treatments and immunomodulation therapies] that will benefit patients and undertake clinical trials of potential new therapies for childhood DM. The rich resources of the Middle East need to be channeled so that all children with DM in the Middle East will benefit from such translational research. A new generation of scientists, beta-cell physiologists, epidemiologists, diabetologists, and physicians looking after children with DM need to engage, collaborate, and develop a strategic vision so that they can make strides in this extremely important research area. These initiatives have the potential to manage the burden of childhood DM in the Middle East and improve the quality of lives of all children with diabetes. Investing in and funding basic and translational childhood diabetes research will bring enormous benefits financially, economically, and socially for the whole of the Middle East region.

Data Availability Statement

All datasets generated for this study are included in the article/Supplementary Material.

Author Contributions

SS and SA-K carried out the search and screened the titles and abstracts to retrieve papers. KH and NE selected articles of interest. All authors were involved in the writing and editing of the manuscript.

Funding

This research was supported in part by Sidra Internal Research Fund (SIRF 2017−5011031001) and the Qatar National Research Fund (QNRF-NPRP 10-6100017-AXX) granted to KH.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2019.00805/full#supplementary-material

References

1. Organization WH. Global Health Estimates 2016: Disease burden by Cause, Age, Sex, by Country and by Region, 2000–2016. Geneva: World Health Organization (2018).

Google Scholar

2. Organization WH. Global Health Observatory (GHO) Data Map Gallery (2017). Available online at: https://www.who.int/uat-portal/map-gallery

Google Scholar

3. Federation ID. IDF Diabetes Atlas, 7th Edn. Brussels: International Diabetes Federation (2015).

Google Scholar

4. Federation ID. IDF Diabetes Atlas: 8th Edn. Brussels: International Diabetes Federation (2017).

Google Scholar

5. SEARCH for Diabetes in Youth Study Group, Liese AD, D'Agostino RB Jr, Hamman RF, Kilgo PD, Lawrence JM, et al. The burden of diabetes mellitus among US youth: prevalence estimates from the SEARCH for Diabetes in Youth Study. Pediatrics. (2006) 118:1510–8. doi: 10.1542/peds.2006-0690

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Peraldo M, Fasulo A, Chiappini E, Milio C, Marianelli L. Evaluation of glucose tolerance and insulin secretion in cystic fibrosis patients. Hormone Res. (1998) 49:65–71. doi: 10.1159/000023128

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Banjar H, Angyalosi G. The road for survival improvement of cystic fibrosis patients in Arab countries. Int J Pediatrics Adolesc Med. (2015) 2:47–58. doi: 10.1016/j.ijpam.2015.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Patterson CC, Dahlquist GG, Gyurus E, Green A, Soltesz G, Group ES. Incidence trends for childhood type 1 diabetes in Europe during 1989–2003 and predicted new cases 2005–20: a multicentre prospective registration study. Lancet. (2009) 373:2027–33. doi: 10.1016/S0140-6736(09)60568-7

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Ehehalt S, Dietz K, Willasch AM, Neu A, Baden-Wurttemberg, Diabetes Incidence Registry Group. Epidemiological perspectives on type 1 diabetes in childhood and adolescence in germany: 20 years of the Baden-wurttemberg Diabetes Incidence Registry (DIARY). Diabetes Care. (2010) 33:338–40. doi: 10.2337/dc09-1503

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Undlien DE, Kockum I, Ronningen KS, Lowe R, Saanjeevi CB, Graham J, et al. HLA associations in type 1 diabetes among patients not carrying high-risk DR3-DQ2 or DR4-DQ8 haplotypes. Tissue Antigens. (1999) 54:543–51. doi: 10.1034/j.1399-0039.1999.540602.x

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Eisenbarth GS. Type I diabetes mellitus. A chronic autoimmune disease. N Engl J Med. (1986) 314:1360–8. doi: 10.1056/NEJM198605223142106

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Ziegler AG, Rewers M, Simell O, Simell T, Lempainen J, Steck A, et al. Seroconversion to multiple islet autoantibodies and risk of progression to diabetes in children. JAMA. (2013) 309:2473–9. doi: 10.1001/jama.2013.6285

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Towns R, Pietropaolo M. GAD65 autoantibodies and its role as biomarker of Type 1 diabetes and Latent Autoimmune Diabetes in Adults (LADA). Drugs Future. (2011) 36:847. doi: 10.1358/dof.2011.036.11.1710754

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Shivaprasad C, Mittal R, Dharmalingam M, Kumar PK. Zinc transporter-8 autoantibodies can replace IA-2 autoantibodies as a serological marker for juvenile onset type 1 diabetes in India. Indian J Endocrinol Metab. (2014) 18:345–9. doi: 10.4103/2230-8210.131174

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Delvecchio M, Mozzillo E, Salzano G, Iafusco D, Frontino G, Patera PI, et al. Monogenic diabetes accounts for 6.3% of cases referred to 15 Italian pediatric diabetes centers during 2007 to 2012. J Clin Endocrinol Metab. (2017) 102:1826–34. doi: 10.1210/jc.2016-2490

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Karalliedde J, Gnudi L. Diabetes mellitus, a complex and heterogeneous disease, and the role of insulin resistance as a determinant of diabetic kidney disease. Nephrol Dial Transplant. (2014) 31:206–13. doi: 10.1093/ndt/gfu405

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Robert AA, Al Dawish MA, Braham R, Musallam MA, Al Hayek AA, Al Kahtany NH. Type 2 diabetes mellitus in saudi arabia: major challenges and possible solutions. Curr Diabetes Rev. (2017) 13:59–64. doi: 10.2174/1573399812666160126142605

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Hruby A, Hu FB. The epidemiology of obesity: a big picture. Pharmacoeconomics. (2015) 33:673–89. doi: 10.1007/s40273-014-0243-x

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Schwitzgebel VM. Many faces of monogenic diabetes. J Diabetes Investig. (2014) 5:121–33. doi: 10.1111/jdi.12197

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Johansson BB, Irgens HU, Molnes J, Sztromwasser P, Aukrust I, Juliusson PB, et al. Targeted next-generation sequencing reveals MODY in up to 6.5% of antibody-negative diabetes cases listed in the Norwegian Childhood Diabetes Registry. Diabetologia. (2017) 60:625–35. doi: 10.1007/s00125-016-4167-1

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Molven A, Njolstad PR. Role of molecular genetics in transforming diagnosis of diabetes mellitus. Expert Rev Mol Diagn. (2011) 11:313–20. doi: 10.1586/erm.10.123

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Slingerland AS, Shields BM, Flanagan SE, Bruining GJ, Noordam K, Gach A, et al. Referral rates for diagnostic testing support an incidence of permanent neonatal diabetes in three European countries of at least 1 in 260,000 live births. Diabetologia. (2009) 52:1683–5. doi: 10.1007/s00125-009-1416-6

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Iafusco D, Massa O, Pasquino B, Colombo C, Iughetti L, Bizzarri C, et al. Minimal incidence of neonatal/infancy onset diabetes in Italy is 1:90,000 live births. Acta Diabetol. (2012) 49:405–8. doi: 10.1007/s00592-011-0331-8

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Aguilar-Bryan L, Bryan J. Neonatal diabetes mellitus. Endocr Rev. (2008) 29:265–91. doi: 10.1210/er.2007-0029

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Gloyn AL, Pearson ER, Antcliff JF, Proks P, Bruining GJ, Slingerland AS, et al. Activating mutations in the gene encoding the ATP-sensitive potassium-channel subunit Kir6.2 and permanent neonatal diabetes. N Engl J Med. (2004) 350:1838–49. doi: 10.1056/NEJMoa032922

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Habeb AM, Flanagan SE, Deeb A, Al-Alwan I, Alawneh H, Balafrej AA, et al. Permanent neonatal diabetes: different aetiology in Arabs compared to Europeans. Arch Dis Childhood. (2012) 97:721–3. doi: 10.1136/archdischild-2012-301744

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Naylor RN, Greeley SA, Bell GI, Philipson LH. Genetics and pathophysiology of neonatal diabetes mellitus. J Diabetes Investig. (2011) 2:158–69. doi: 10.1111/j.2040-1124.2011.00106.x

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Newsholme P, Gaudel C, Krause M. Mitochondria and diabetes. An intriguing pathogenetic role. Adv Exp Med Biol. (2012) 942:235–47. doi: 10.1007/978-94-007-2869-1_10

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Gerbitz KD, Gempel K, Brdiczka D. Mitochondria and diabetes. Genetic, biochemical, and clinical implications of the cellular energy circuit. Diabetes. (1996) 45:113–26. doi: 10.2337/diabetes.45.2.113

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Inoue H, Tanizawa Y, Wasson J, Behn P, Kalidas K, Bernal-Mizrachi E, et al. A gene encoding a transmembrane protein is mutated in patients with diabetes mellitus and optic atrophy (Wolfram syndrome). Nat Genet. (1998) 20:143–8. doi: 10.1038/2441

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Delepine M, Nicolino M, Barrett T, Golamaully M, Lathrop GM, Julier C. EIF2AK3, encoding translation initiation factor 2-alpha kinase 3, is mutated in patients with Wolcott-Rallison syndrome. Nat Genet. (2000) 25:406–9. doi: 10.1038/78085

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Collin GB, Marshall JD, Ikeda A, So WV, Russell-Eggitt I, Maffei P, et al. Mutations in ALMS1 cause obesity, type 2 diabetes and neurosensory degeneration in Alstrom syndrome. Nat Genet. (2002) 31:74–8. doi: 10.1038/ng867

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Oishi K, Diaz GA. Thiamine-responsive megaloblastic anemia syndrome. In: Adam MP, Ardinger HH, Pagon RA, Wallace SE, Bean LJH, Stephens K, et al., editors. GeneReviews® [Internet]. Seattle, WA (1993).

Google Scholar

34. Green JS, Parfrey PS, Harnett JD, Farid NR, Cramer BC, Johnson G, et al. The cardinal manifestations of Bardet-Biedl syndrome, a form of Laurence-Moon-Biedl syndrome. N Engl J Med. (1989) 321:1002–9. doi: 10.1056/NEJM198910123211503

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Cheng MH, Anderson MS. Insights into type 1 diabetes from the autoimmune polyendocrine syndromes. Curr Opin Endocrinol Diabetes Obes. (2013) 20:271–8. doi: 10.1097/MED.0b013e32836313eb

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Finnish-German AC. An autoimmune disease, APECED, caused by mutations in a novel gene featuring two PHD-type zinc-finger domains. Nat Genet. (1997) 17:399–403. doi: 10.1038/ng1297-399

CrossRef Full Text | Google Scholar

37. Bennett CL, Christie J, Ramsdell F, Brunkow ME, Ferguson PJ, Whitesell L, et al. The immune dysregulation, polyendocrinopathy, enteropathy, X-linked syndrome (IPEX) is caused by mutations of FOXP3. Nat Genet. (2001) 27:20–1. doi: 10.1038/83713

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Turkmen K, Karagoz A, Kucuk A. Sirtuins as novel players in the pathogenesis of diabetes mellitus. World J Diabetes. (2014) 5:894–900. doi: 10.4239/wjd.v5.i6.894

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Velayos T, Martinez R, Alonso M, Garcia-Etxebarria K, Aguayo A, Camarero C, et al. An activating mutation in STAT3 results in neonatal diabetes through reduced insulin synthesis. Diabetes. (2017) 66:1022–9. doi: 10.2337/db16-0867

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Aldukhayel A. Prevalence of diabetic nephropathy among Type 2 diabetic patients in some of the Arab countries. Int J Health Sci. (2017) 11:1–4.

PubMed Abstract | Google Scholar

41. Zabetian A, Kelli HM, Echouffo-Tcheugui JB, Narayan KM, Ali MK. Diabetes in the Middle East and North Africa. Diabetes Res Clin Pract. (2013) 101:106–22. doi: 10.1016/j.diabres.2013.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Farag YM, Al Wakeel JS. Diabetic nephropathy in the Arab Gulf countries. Nephron Clin Pract. (2011) 119:c317–22; discussion: c22–3. doi: 10.1159/000328909

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Al Dawish MA, Robert AA, Braham R, Al Hayek AA, Al Saeed A, Ahmed RA, et al. Diabetes mellitus in Saudi Arabia: a review of the recent literature. Curr Diabetes Rev. (2016) 12:359–68. doi: 10.2174/1573399811666150724095130

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Zayed H, Ouhtit A, El Bekay R. An Arab registry for type 1 diabetes: global benefits for type 1 diabetes patients. Curr Med Res Opin. (2016) 32:1–4. doi: 10.1080/03007995.2016.1198756

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Alotaibi A, Perry L, Gholizadeh L, Al-Ganmi A. Incidence and prevalence rates of diabetes mellitus in Saudi Arabia: an overview. J Epidemiol Glob Health. (2017) 7:211–8. doi: 10.1016/j.jegh.2017.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Robert AA, Al-Dawish A, Mujammami M, Dawish MAA. Type 1 diabetes mellitus in Saudi Arabia: a soaring epidemic. Int J Pediatr. (2018) 2018:9408370. doi: 10.1155/2018/9408370

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Alyafei F, Soliman A, Alkhalaf F, Sabt A, De Sanctis V, Waseef R, et al. Incidence of type 1 and type 2 diabetes, between 2012–2016, among children and adolescents in Qatar. Acta Bio Med Atenei Parmensis. (2018) 89:7–10. doi: 10.23750/abm.v89iS4.7360

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Usher-Smith JA, Thompson M, Ercole A, Walter FM. Variation between countries in the frequency of diabetic ketoacidosis at first presentation of type 1 diabetes in children: a systematic review. Diabetologia. (2012) 55:2878–94. doi: 10.1007/s00125-012-2690-2

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Aminzadeh M, Navidi N, Valavi E, Aletayeb SMH. Childhood onset type 1 diabetes at a tertiary hospital in south-western Iran during 2000-2015: Rapid increase in admissions and high prevalence of DKA at diagnosis. Primary Care Diabetes. (2019) 13:43–8. doi: 10.1016/j.pcd.2018.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Vaxillaire M, D P, Bonnefond A, Froguel P. Breakthroughs in monogenic diabetes genetics: from pediatric forms to young adulthood diabetes. Pediatric Endocrinol Rev. (2009) 6:405–17.

PubMed Abstract | Google Scholar

51. Grosse J, Hornstein H, Manuwald U, Kugler J, Glauche I, Rothe U. Incidence of diabetic ketoacidosis of new-onset type 1 diabetes in children and adolescents in different countries correlates with human development index (HDI): an updated systematic review, meta-analysis, and meta-regression. Horm Metab Res. (2018) 50:209–22. doi: 10.1055/s-0044-102090

CrossRef Full Text | Google Scholar

52. Tsertsvadze A, Maglione M, Chou R, Garritty C, Coleman C, Lux L, et al. Updating comparative effectiveness reviews: current efforts in AHRQ.s Effective Health Care Program. J Clin Epidemiol. (2011) 64:1208–15. doi: 10.1016/j.jclinepi.2011.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Skelly A, Hashimoto R, Al-Khatib S, Sanders-Schmidler G, Fu R, Brodt E, et al. AHRQ Technology Assessments. Catheter Ablation for Treatment of Atrial Fibrillation. Rockville, MD: Agency for Healthcare Research and Quality (US) (2015).

Google Scholar

54. Moher D, Liberati A, Tetzlaff J, Altman DG, The PG. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLOS Med. (2009) 6:e1000097. doi: 10.1371/journal.pmed.1000097

CrossRef Full Text | Google Scholar

55. Tuomilehto J. The emerging global epidemic of type 1 diabetes. Curr Diabetes Rep. (2013) 13:795–804. doi: 10.1007/s11892-013-0433-5

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Abduljabbar MA, Aljubeh JM, Amalraj A, Cherian MP. Incidence trends of childhood type 1 diabetes in eastern Saudi Arabia. Saudi Med J. (2010) 31:413–8.

Google Scholar

57. Habeb AM, Al-Magamsi MS, Halabi S, Eid IM, Shalaby S, Bakoush O. High incidence of childhood type 1 diabetes in Al-Madinah, North West Saudi Arabia (2004–2009). Pediatr Diabetes. (2011) 12:676–81. doi: 10.1111/j.1399-5448.2011.00765.x

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Al-Ghamdi AH, Fureeh AA. Prevalence and clinical presentation at the onset of type 1 diabetes mellitus among children and adolescents in AL-Baha region, Saudi Arabia. J Pediatric Endocrinol Metab. (2018) 31:269–73. doi: 10.1515/jpem-2017-0059

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Cherian MP, Al-Kanani KA, Al Qahtani SS, Yesurathinam H, Mathew AA, Thomas VS, et al. The rising incidence of type 1 diabetes mellitus and the role of environmental factors–three decade experience in a primary care health center in Saudi Arabia. J Pediatric Endocrinol Metab. (2010) 23:685–95. doi: 10.1515/JPEM.2010.23.7.685

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Al-Herbish AS, El-Mouzan MI, Al-Salloum AA, Al-Qurachi MM, Al-Omar AA. Prevalence of type 1 diabetes mellitus in Saudi Arabian children and adolescents. Saudi Med J. (2008) 29:1285–8. doi: 10.4103/0256-4947.51812

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Al-Rubeaan K. National surveillance for type 1, type 2 diabetes and prediabetes among children and adolescents: a population-based study (SAUDI-DM). J Epidemiol Commun Health. (2015) 69:1045–51. doi: 10.1136/jech-2015-205710

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Shaltout AA, Wake D, Thanaraj TA, Omar DM, Al-AbdulRazzaq D, Channanath A, et al. Incidence of type 1 diabetes has doubled in Kuwaiti children 0–14 years over the last 20 years. Pediatric diabetes. (2017) 18:761–6. doi: 10.1111/pedi.12480

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Moussa MA, Alsaeid M, Refai TM, Abdella N, Al-Sheikh N, Gomez JE. Factors associated with type 1 diabetes in Kuwaiti children. Acta Diabetol. (2005) 42:129–37. doi: 10.1007/s00592-005-0192-0

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Alyafei F, Soliman A, Alkhalaf F, Sabt A, De Sanctis V, Elsayed N, et al. Clinical and biochemical characteristics of familial type 1 diabetes mellitus (FT1DM) compared to non-familial type 1 DM (NFT1DM). Acta Bio Med Atenei Parmensis. (2018) 89:27–31. doi: 10.23750/abm.v89iS4.7358

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Damanhouri LH, Dromey JA, Christie MR, Nasrat HA, Ardawi MS, Robins RA, et al. Autoantibodies to GAD and IA-2 in Saudi Arabian diabetic patients. Diabetic Med J Br Diabetic Assoc. (2005) 22:448–52. doi: 10.1111/j.1464-5491.2005.01438.x

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Alyafei F, Soliman A, Alkhalaf F, Sabt A, De Sanctis V, Elsayed N, et al. Prevalence of beta-cell antibodies and associated autoimmune diseases in children and adolescents with type 1 diabetes (T1DM) versus type 2 diabetes (T2DM) in Qatar. Acta Biomed. (2018) 89:32–9. doi: 10.23750/abm.v89iS4.7359

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Al-Jenaidi FA, Wakim-Ghorayeb SF, Al-Abbasi A, Arekat MR, Irani-Hakime N, Najm P, et al. Contribution of selective HLA-DRB1/DQB1 alleles and haplotypes to the genetic susceptibility of type 1 diabetes among Lebanese and Bahraini Arabs. J Clin Endocrinol Metab. (2005) 90:5104–9. doi: 10.1210/jc.2005-1166

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Saruhan-Direskeneli G, Uyar FA, Bas F, Gunoz H, Bundak R, Saka N, et al. HLA-DR and -DQ associations with insulin-dependent diabetes mellitus in a population of Turkey. Hum Immunol. (2000) 61:296–302. doi: 10.1016/S0198-8859(99)00182-2

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Ercilla MG, Guardia A, Suarez B, Arias MT, Fabregat V, Costa M, et al. Identification of a new HLA-DRB1 allele (DRB1*0318) in three members of a Caucasian Spanish family. Tissue Antigens. (2001) 57:489–91. doi: 10.1034/j.1399-0039.2001.057005489.x

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Gillespie KM, Gale EA, Bingley PJ. High familial risk and genetic susceptibility in early onset childhood diabetes. Diabetes. (2002) 51:210–4. doi: 10.2337/diabetes.51.1.210

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Al-Harbi EM, Abbassi AJ, Tamim H, al-Jenaidi F, Kooheji M, Kamal M, et al. Specific HLA-DRB and -DQB alleles and haplotypes confer disease susceptibility or resistance in Bahraini type 1 diabetes patients. Clin Diagnostic Lab Immunol. (2004) 11:292–6. doi: 10.1128/CDLI.11.2.292-296.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Al-Hayek AA, Robert AA, Braham RB, Turki AS, Al-Sabaan FS. Frequency and associated risk factors of recurrent diabetic ketoacidosis among Saudi adolescents with type 1 diabetes mellitus. Saudi Med J. (2015) 36:216–20. doi: 10.15537/smj.2015.2.10560

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Shaltout AA, Channanath AM, Thanaraj TA, Omar D, Abdulrasoul M, Zanaty N, et al. Ketoacidosis at first presentation of type 1 diabetes mellitus among children: a study from Kuwait. Sci Rep. (2016) 6:27519. doi: 10.1038/srep27519

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Satti SA, Saadeldin IY, Dammas AS. Diabetic Ketoacidosis in children admitted to Pediatric Intensive Care Unit of King Fahad Hospital, Al-Baha, Saudi Arabia: Precipitating factors, epidemiological parameters and clinical presentation. Sudanese J Paediatrics. (2013) 13:24–30. Available online at: https://kopernio.com/viewer?doi=27493370&token=WzEzMDM3NjEsIjI3NDkzMzcwIl0.HVMv22LyWzf1_m2fP2QfnhILzz4

PubMed Abstract | Google Scholar

75. Naeem MA, Al-Alem HA, Al-Dubayee MS, Al-Juraibah FN, Omair A, Al-Ruwaili AS, et al. Characteristics of pediatric diabetic ketoacidosis patients in Saudi Arabia. Saudi Med J. (2015) 36:20–5. doi: 10.15537/smj.2015.1.9763

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Habib HS. Frequency and clinical characteristics of ketoacidosis at onset of childhood type 1 diabetes mellitus in Northwest Saudi Arabia. Saudi Med J. (2005) 26:1936–9. Available online at: https://www.researchgate.net/publication/7390173_Frequency_and_clinical_characteristics_of_ketoacidosis_at_onset_of_childhood_diabetes_mellitus_in_Northwest_Saudi_Arabia

PubMed Abstract | Google Scholar

77. Abdul-Rasoul M, Al-Mahdi M, Al-Qattan H, Al-Tarkait N, Alkhouly M, Al-Safi R, et al. Ketoacidosis at presentation of type 1 diabetes in children in Kuwait: frequency and clinical characteristics. Pediatric diabetes. (2010) 11:351–6. doi: 10.1111/j.1399-5448.2009.00600.x

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Kulaylat NA, Narchi H. Clinical picture of childhood type 1 diabetes mellitus in the Eastern Province of Saudi Arabia. Pediatric Diabetes. (2001) 2:43–7. doi: 10.1046/j.1399-543x.2001.020108.x

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Sayed MH, Hegazi MA, Abdulwahed K, Moussa K, El-Deek BS, Gabel H, et al. Risk factors and predictors of uncontrolled hyperglycemia and diabetic ketoacidosis in children and adolescents with type 1 diabetes mellitus in Jeddah, western Saudi Arabia. J Diabetes. (2017) 9:190–9. doi: 10.1111/1753-0407.12404

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Al-Agha A, Ocheltree A, Shata N. Prevalence of hyperinsulinism, type 2 diabetes mellitus and metabolic syndrome among Saudi overweight and obese pediatric patients. Minerva Pediatr. (2012) 64:623–31.

PubMed Abstract | Google Scholar

81. Punnose J, Agarwal MM, Bin-Uthman S. Type 2 diabetes mellitus among children and adolescents in Al-Ain: a case series. East Mediterr Health J. (2005) 11:788–97. Available online at: https://www.researchgate.net/publication/7081883_Type_2_diabetes_mellitus_among_children_and_adolescents_in_Al-Ain_A_case_series

PubMed Abstract | Google Scholar

82. Moussa MA, Alsaeid M, Abdella N, Refai TM, Al-Sheikh N, Gomez JE. Prevalence of type 2 diabetes mellitus among Kuwaiti children and adolescents. Med Princ Pract. (2008) 17:270–5. doi: 10.1159/000129604

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Stancakova A, Laakso M. Genetics of Type 2 diabetes. Endocr Dev. (2016) 31:203–20. doi: 10.1159/000439418

PubMed Abstract | CrossRef Full Text | Google Scholar

84. O'Beirne SL, Salit J, Rodriguez-Flores JL, Staudt MR, Abi Khalil C, Fakhro KA, et al. Type 2 diabetes risk Allele Loci in the Qatari population. PLoS ONE. (2016) 11:e0156834. doi: 10.1371/journal.pone.0156834

CrossRef Full Text | Google Scholar

85. Habeb AM, Al-Magamsi MS, Eid IM, Ali MI, Hattersley AT, Hussain K, et al. Incidence, genetics, and clinical phenotype of permanent neonatal diabetes mellitus in northwest Saudi Arabia. Pediatric Diabetes. (2012) 13:499–505. doi: 10.1111/j.1399-5448.2011.00828.x

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Deeb A, Habeb A, Kaplan W, Attia S, Hadi S, Osman A, et al. Genetic characteristics, clinical spectrum, and incidence of neonatal diabetes in the Emirate of AbuDhabi, United Arab Emirates. Am J Med Genet Part A. (2016) 170:602–9. doi: 10.1002/ajmg.a.37419

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Abbasi F, Habibi M, Enayati S, Bitarafan F, Razzaghy-Azar M, Sotodeh A, et al. A genotype-first approach for clinical and genetic evaluation of Wolcott-Rallison syndrome in a large cohort of iranian children with neonatal diabetes. Can J Diabetes. (2018) 42:272–5. doi: 10.1016/j.jcjd.2017.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Al Senani A, Hamza N, Al Azkawi H, Al Kharusi M, Al Sukaiti N, Al Badi M, et al. Genetic mutations associated with neonatal diabetes mellitus in Omani patients. J Pediatric Endocrinol Metab. (2018) 31:195–204. doi: 10.1515/jpem-2017-0284

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Elkholy S, Lardhi AA. Do we need to test for maturity onset diabetes of the young among newly diagnosed diabetics in Saudi Arabia? Int J Diabetes Mellitus. (2015) 3:51–6. doi: 10.1016/j.ijdm.2011.01.006

CrossRef Full Text | Google Scholar

90. Charbonnier LM, Janssen E, Chou J, Ohsumi TK, Keles S, Hsu JT, et al. Regulatory T-cell deficiency and immune dysregulation, polyendocrinopathy, enteropathy, X-linked-like disorder caused by loss-of-function mutations in LRBA. J Allergy Clin Immunol. (2015) 135:217–27. doi: 10.1016/j.jaci.2014.10.019

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Hussain T, Akle M, Nagelkerke N, Deeb A. Comparative study on treatment satisfaction and health perception in children and adolescents with type 1 diabetes mellitus on multiple daily injection of insulin, insulin pump and sensor-augmented pump therapy. SAGE Open Med. (2017) 5:2050312117694938. doi: 10.1177/2050312117694938

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Asma D, Samar A-A, Salima A, Mohamed E-A, Jamal A-J, Hana Y, et al. Important determinants of diabetes control in insulin pump therapy in patients with type 1 diabetes mellitus. Diabetes Technol Therap. (2015) 17:166–70. doi: 10.1089/dia.2014.0224

CrossRef Full Text | Google Scholar

93. Al-Agha AE, Kafi SE, Zain Aldeen AM, Khadwardi RH. Flash glucose monitoring system may benefit children and adolescents with type 1 diabetes during fasting at Ramadan. Saudi Med J. (2017) 38:366–71. doi: 10.15537/smj.2017.4.18750

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Alamoudi R, Alsubaiee M, Alqarni A, Saleh Y, Aljaser S, Salam A, et al. Comparison of insulin pump therapy and multiple daily injections insulin regimen in patients with type 1 diabetes during ramadan fasting. Diabetes Technol Ther. (2017) 19:349–54. doi: 10.1089/dia.2016.0418

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Petrovski G, Al Khalaf F, Hussain K, Campbell J, El Awwa A. Continuous subcutaneous insulin infusion characteristics in type 1 diabetes children and adolescents in Qatar. Diabetes Ther. (2018) 9:2091–8. doi: 10.1007/s13300-018-0510-5

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Petrovski G, Al Khalaf F, Hussain K, Campbell J. Optimizing a hybrid closed loop system in type 1 diabetes: a case report. Diabetes Ther. (2018) 9:2173–7. doi: 10.1007/s13300-018-0473-6

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Seyyed MT, Farkhondeh A, Hamid M, Seyyed RK, Mahtab N. A study of population based diabetes registry in developed countries. JOJ Nurs Health Care. (2018) 8:555732. doi: 10.19080/JOJNHC.2018.08.555732

CrossRef Full Text | Google Scholar

98. Rankin J, Best K. Disease registers in England. Paediatr Child Health. (2014) 24:337–42. doi: 10.1016/j.paed.2014.02.002

CrossRef Full Text | Google Scholar

99. Park BZ, Cantrell L, Hunt H, Farris RP, Schumacher P, Bauer UE. State public health actions to prevent and control diabetes, heart disease, obesity and associated risk factors, and promote school health. Prevent Chronic Dis. (2017) 14:E127. doi: 10.5888/pcd14.160437

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Gliklich R, Dreyer N, Leavy M. Registries for Evaluating Patient Outcomes: A User's Guide. 3rd ed. Rockville, MD: Agency for Healthcare Research and Quality (US) (2014). Available online at: https://effectivehealthcare.ahrq.gov/sites/default/files/registries-guide-3rd-edition-vol-2-140430.pdf

Google Scholar

101. Bartlett C, Holenstein F, Sterne J, Egger M, Jüni P. Direction and impact of language bias in meta-analyses of controlled trials: empirical study. Int J Epidemiol. (2002) 31:115–23. doi: 10.1093/ije/31.1.115

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Egger M, Zellweger-Zähner T, Schneider M, Junker C, Lengeler C, Antes G. Language bias in randomised controlled trials published in English and German. Lancet. (1997) 350:326–9. doi: 10.1016/S0140-6736(97)02419-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: T1DM, Middle-East, childhood, MODY, insulin-resistance, prevention, epidemiology, registry

Citation: Saraswathi S, Al-Khawaga S, Elkum N and Hussain K (2019) A Systematic Review of Childhood Diabetes Research in the Middle East Region. Front. Endocrinol. 10:805. doi: 10.3389/fendo.2019.00805

Received: 18 December 2018; Accepted: 04 November 2019;
Published: 19 November 2019.

Edited by:

Jehad Ahmed Abubaker, Dasman Diabetes Institute, Kuwait

Reviewed by:

Stephanie Therese Chung, National Institutes of Health (NIH), United States
Mohammad G. Qaddoumi, Health Science Center, Kuwait

Copyright © 2019 Saraswathi, Al-Khawaga, Elkum and Hussain. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Khalid Hussain, a2h1c3NhaW4mI3gwMDA0MDtzaWRyYS5vcmc=

These authors share first authorship

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