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SYSTEMATIC REVIEW article

Front. Endocrinol.
Sec. Systems Endocrinology
Volume 15 - 2024 | doi: 10.3389/fendo.2024.1441503
This article is part of the Research Topic Mechanistic, Machine Learning and Hybrid Models of the 'Other' Endocrine Regulatory Systems in Health and Disease: Volume II View all articles

The Link Between Hyperuricemia and Diabetes: Insights from a Quantitative Analysis of Scientific Literature

Provisionally accepted
Li li Ma Li li Ma 1Jing Wang Jing Wang 2Li Ma Li Ma 3Xian Min Wang Xian Min Wang 4*
  • 1 Department of Internal Medicine, Shengzhou Hospital of Traditional Chinese Medicine, shaoxing, China
  • 2 Xinjiang Laboratory of Respiratory Disease Research, Hospital of Traditional Chinese Medicine Afliated to Xinjiang Medical University, Urumqi, China
  • 3 Department of Endocrinology, Afliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, China
  • 4 Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, China

The final, formatted version of the article will be published soon.

    Background: Hyperuricemia (HUA) is a significant public health issue, ranking second only to diabetes in prevalence. While existing research demonstrates a robust correlation between these two conditions, the precise etiological mechanisms remain inadequately elucidated. This study utilized scientometric analysis to investigate the global association between HUA and diabetes. Methods: Data on HUA and diabetes were retrieved from the Web of Science Core Collection database, encompassing the period from its inception until September 30, 2024. Collaboration networks were examined using VOSviewer, cluster analysis was executed with CiteSpace, and systematic mapping was conducted using Bibliometrix. Results: By September 30, 2024, 1,464 studies indicated a consistent yearly increase in publications connecting HUA and diabetes despite some fluctuations. The lead authors were Richard J. Johnson, Miguel A. Lanaspa, and Masanari Kuwabara, with most contributors from China, the United States, and Japan. Key institutions include China Medical University, Shanghai Jiao Tong University, and Capital Medical University. The most published journal was Nutrition, Metabolism and Cardiovascular Diseases (CVDs), whereas the most cited journal was Diabetes Care. The reference network from 1987 to September 30, 2024, identified 19 clusters highlighting key research areas in HUA and diabetes, such as metabolic syndrome, uropathology, chronic kidney disease (CKD), and CVD. Exploring pathological mechanisms and pharmacological interventions linked to diabetes concomitant with HUA has emerged as a focal point of research and a burgeoning trend within the field. Conclusion: This study is the first scientometric analysis to synthesize research trends on HUA and diabetes, revealing molecular mechanisms and treatment strategies and providing theoretical insights for future clinical use.

    Keywords: Hyperuricemia, diabetes, scientometrics, VOSviewers, Citespace

    Received: 31 May 2024; Accepted: 30 Dec 2024.

    Copyright: © 2024 Ma, Wang, Ma and Wang. 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) or licensor 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: Xian Min Wang, Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.