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STUDY PROTOCOL article

Front. Psychiatry, 06 February 2024
Sec. Schizophrenia
This article is part of the Research Topic Unveiling the Neurobiological Underpinnings of Cognitive Dysfunction in Patients with Schizophrenia View all 11 articles

Valuable interaction with cognitive remediation and optimal antipsychotics for recovery in schizophrenia (VICTORY-S): study protocol for an interventional, open-label, randomized comparison of combined treatment with cognitive remediation and lurasidone or paliperidone

Ryotaro KubotaRyotaro Kubota1Satoru Ikezawa,Satoru Ikezawa2,3Hideki OiHideki Oi4Mari S ObaMari S Oba4Shoki IzumiShoki Izumi4Ryoko TsunoRyoko Tsuno4Leona AdachiLeona Adachi2Mako MiwaMako Miwa2Shunji ToyaShunji Toya5Yohei NishizatoYohei Nishizato5Daisuke HagaDaisuke Haga6Tatsuro IwaneTatsuro Iwane7Kazuyuki Nakagome
Kazuyuki Nakagome2*
  • 1Department of Forensic Psychiatry, National Center of Neurology and Psychiatry Hospital, Tokyo, Japan
  • 2Department of Psychiatry, National Center of Neurology and Psychiatry Hospital, Tokyo, Japan
  • 3Department of Psychiatry, International University of Health and Welfare Mita Hospital, Tokyo, Japan
  • 4Department of Clinical Data Science, National Center of Neurology and Psychiatry, Tokyo, Japan
  • 5CNS Group, Medical Science, Sumitomo Pharma Co., Ltd., Tokyo, Japan
  • 6One More Job Training Institution, Osaka, Japan
  • 7Kyoto Prefectural Rakunan Hospital, Kyoto, Japan

Background: Cognitive impairment, a core feature of schizophrenia, is associated with poor outcomes. Pharmacotherapy and psychosocial treatment, when used alone, have inadequate effect sizes for cognitive impairment, leading to recent interest in combination interventions. A previous study examined the additive effect of cognitive remediation on lurasidone in patients with schizophrenia, which was negative. Although improvement in cognitive function was suggested for lurasidone, it was inconclusive because there was no antipsychotic control in the study. To clarify whether lurasidone has a meaningful impact on cognitive function in combination with cognitive remediation, we use paliperidone as a control antipsychotic in this study. We hypothesize that combination with lurasidone will improve cognitive and social function to a greater extent than paliperidone.

Methods: The valuable interaction with cognitive remediation and optimal antipsychotics for recovery in schizophrenia study is a multicenter, interventional, open-label, rater-blind, randomized comparison study, comparing the effect of lurasidone plus cognitive remediation with that of paliperidone plus cognitive remediation in patients with schizophrenia. The Neuropsychological Educational Approach to Remediation (NEAR) is used for cognitive remediation. Eligible patients will be randomized 1:1 to receive lurasidone or paliperidone combined with NEAR (6 weeks antipsychotic alone followed by 24 weeks combination antipsychotic plus NEAR). The primary endpoint is the change from baseline in the tablet-based Brief Assessment of Cognition in Schizophrenia composite T-score at the end of the NEAR combination treatment period. Secondary endpoints will include change from baseline in social function, schizophrenia symptoms, and quality of life at the end of the NEAR combination treatment period. Furthermore, change from baseline to the end of the pharmacotherapy period and change from the end of the pharmacotherapy period to the end of the NEAR combination treatment period will be assessed for all endpoints. Safety will also be evaluated.

Discussion: Achievement of adequate cognitive function is central to supporting social function, which is a key treatment goal for patients with schizophrenia. We think this study will fill in the gaps of the previous study and provide useful information regarding treatment decisions for patients with schizophrenia.

Clinical trial registration: Japan Registry of Clinical Trials ID, jRCTs031200338.

1 Introduction

Schizophrenia is a psychiatric disorder presenting with significant impairment in social function, which comprises functions related to a person’s ability to interact with their environment, to live at home and in society, and to maintain communication with others (1, 2). Atypical (second-generation) antipsychotic drugs are effective for positive symptoms of schizophrenia and have comparatively fewer side effects than typical (first-generation) antipsychotics; however, negative symptoms remain in some cases, and they have limited efficacy in improving cognitive impairment (3, 4). Both the European Psychiatric Association and the Japanese society of Neuropsychopharmacology guidelines for schizophrenia primarily recommend atypical antipsychotic drugs (5, 6).

Cognitive impairment is a core feature of schizophrenia (7), which has led to an increased focus on the relationship between schizophrenia and cognitive function in treatment guidelines (5). Among patients with schizophrenia, cognitive impairment is associated with poor social function outcomes and disability, worse community functioning, lower patient quality of life, and increased burden on healthcare services (711). Cognitive impairment initially appears around the first schizophrenic episode and remains in the chronic phase, even after the patient reaches remission status (1214). Cognitive function may deteriorate over time in patients with schizophrenia and can range from near-normal levels to a level of severe deficit (1517). Up to 75% of patients with schizophrenia experience cognitive impairment (18), which, early in onset, is associated with reduced work-related social function (19). Together, the above information suggests that early intervention is important to improve schizophrenia-associated cognitive impairment.

Interventions available to improve cognitive impairment in patients with schizophrenia include pharmacotherapy and psychosocial treatment. The effect size of atypical antipsychotic drugs on cognitive impairment is reported to be approximately 0.17–0.46 (20), while that of cognitive remediation is around 0.45 (21). Given that the mean deficit in cognitive domains may be 1.0-3.0 standard deviations (SDs) below normal, a comprehensive care program may be important for a sufficient improvement in treatment effect size (22). This has led to recent interest in research aimed at improving cognitive function by combining cognitive remediation and cognition-enhancing drugs to effectively increase treatment effect size (23).

The atypical antipsychotic drug lurasidone is a novel benzisothiazole derivative that exhibits a high binding affinity and antagonistic effect on the dopamine D2, serotonin (5-HT)2A and 5-HT7 receptors, a partial agonistic effect on the 5-HT1A receptor, and no significant binding to histamine 1 and muscarinic acetylcholine receptors (24). In animal models, lurasidone treatment was associated with neuroprotective effects and better cognitive improvement compared with other antipsychotics (25, 26). Furthermore, results from a clinical study suggest that lurasidone may improve cognitive function in patients with schizophrenia (27). Recent preliminary clinical study findings have demonstrated improved cognitive function with lurasidone in patients with bipolar disorder (28, 29). A previous study has suggested that the combination of cognitive remediation with lurasidone had no greater therapeutic effect on cognitive function than the combination of lurasidone with nonspecific video games (30). Although improvement in cognitive function was suggested for lurasidone, the previous study did not adequately demonstrate whether lurasidone enhances the therapeutic effects of cognitive remediation, given that there was no comparison antipsychotic drug (30).

Herein, we describe the protocol for the valuable interaction with cognitive remediation and optimal antipsychotics for recovery in schizophrenia (VICTORY-S) study, which aims to examine the effects of lurasidone combined with cognitive remediation (the Neuropsychological Educational Approach to Remediation [NEAR]) on cognitive function using the tablet-based Brief Assessment of Cognition in Schizophrenia (BAC App) in patients with schizophrenia (31), by comparing with paliperidone combined with cognitive remediation.

2 Materials and methods

2.1 Study design

The VICTORY-S study is a multicenter, interventional, open-label, rater-blind, randomized comparison study. The study will be conducted at 17 sites in Japan between 2 February 2021 and 30 September 2025 (Table 1). The study will consist of two periods, a 6-week period of pharmacotherapy alone followed by a 24-week period of pharmacotherapy and NEAR combination treatment (Figure 1). Both patients and therapists will be aware of the group assignment (open-label study design). The allocation for each patient will be disclosed to the therapists, and the endpoint rater will be blinded. Eligible patients will be randomly assigned in a 1:1 ratio to either the lurasidone group (6-week lurasidone alone plus 24-week lurasidone and NEAR combination) or the paliperidone group (6-week paliperidone alone plus 24-week paliperidone and NEAR combination) using the minimization method, with balancing for age (≤39 years and ≥ 40 years), sex, and severity of cognitive impairment measured using the symbol coding task from the tablet-based BAC App (cutoff: 55 points). The cutoff for the BAC App symbol coding was determined by calculating the mean–one standard deviation of the symbol coding scores obtained when the Brief Assessment of Cognition in Schizophrenia Japanese version (BACS-J) was being developed (calculation: 67.4 points [mean] − 12.4 points [SD] = 55 points) (32). An electronic data capture system (HOPE eACReSS) managed by a central data center will be used for randomization.

Table 1
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Table 1. List of study sites and principal investigators.

Figure 1
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Figure 1. Study design. BAC App, tablet-based Brief Assessment of Cognition in Schizophrenia; BL, baseline; BNSS, Brief Negative Symptom Scale; DIEPSS, Drug-Induced Extrapyramidal Symptoms Scale; MADRS, Montgomery Åsberg Depression Rating Scale; NEAR, Neuropsychological Educational Approach to Remediation; PANSS, Positive and Negative Syndrome Scale; W, Week.

The study protocol was approved by the Clinical Research Review Board of the National Center of Neurology and Psychiatry, National Research and Development Agency (CRB3200004), and written informed consent will be obtained from patients before enrollment. The study will be conducted in accordance with the principles of the Declaration of Helsinki and the Clinical Trials Act in Japan, and is registered under the identifier jRCTs031200338.1

2.2 Eligibility criteria

The following inclusion criteria must be met for enrollment in the study: Diagnostic and Statistical Manual of Mental Disorders (5th edition) criteria for schizophrenia; ability to provide in-person written informed consent; outpatient; aged 18–55 years at the time of informed consent; express a preference to switch antipsychotic drug and obtain agreement for this switch by the primary care physician; have presented no risk for self-harm or harming others in the 6 months prior to the date of informed consent; no acute illness requiring treatment; any chronic condition (e.g., hypertension) must be stable with treatment that has been continued for at least 1 month prior to participation; ability to participate in cognitive remediation sessions twice weekly (60–75 min per session); ability to undergo neuropsychological assessment (BAC App); chlorpromazine (CP) equivalent dose(s) of the prior antipsychotic drug(s) not more than 1,000 mg/day in the 30 days prior to the date of informed consent; and no change in the type of main agent of prior antipsychotic medication in the 30 days prior to the date of informed consent.

Exclusion criteria are as follows: a premorbid IQ of less than 70 on the Japanese Adult Reading Test-25 (33, 34); hearing or visual disability; non-native speaker of Japanese; currently receiving lurasidone, paliperidone, or clozapine; currently using three or more antipsychotic drugs; a history of treatment resistance, as evidenced by a failure to respond to at least two antipsychotic drugs when administered for at least 6 weeks at the dose specified on the package insert in the 12 months prior to the date of informed consent; receiving psychotropic drugs known to affect cognitive function, such as methamphetamine; administration of long-acting injections of antipsychotic drugs in the 6 weeks prior to the date of informed consent; a history of electroconvulsive therapy (ECT) in the 6 months prior to the date of informed consent or are expected to require ECT during participation in this study; a likelihood to attempt suicide during participation in this study; a history of intracranial disease or central nervous system disease (e.g., stroke, traumatic brain injury, epilepsy, Parkinson’s disease); a clinically significant abnormality in physical condition; a history of alcohol or drug abuse or addiction in the 6 months prior to the date of informed consent; pregnant or planning to become pregnant; breastfeeding; received cognitive remediation in the 6 months prior to the date of screening; any contraindication to lurasidone or paliperidone; and deemed ineligible for the study in the opinion of the investigator or subinvestigator.

2.3 Intervention

During the pharmacotherapy alone period, 40 mg of lurasidone hydrochloride will be administered orally once daily after a meal. The dose will be adjusted as necessary depending on the age and symptoms of the patient; however, the dose should not exceed 80 mg/day. In the paliperidone group, patients will receive 6 mg of oral paliperidone once daily after breakfast. The dose will be adjusted as necessary, not to exceed 12 mg/day and using a daily dose increment of 3 mg with an interval of at least 5 days. In general, tapering of the prior antipsychotic medication (main agent) will be started simultaneously with the start of study drug treatment, initiating the switch from prior medication to study drug. Monitoring of the patient’s condition should be used as a guide for tapering the prior antipsychotic medication (main agent), which should be tapered and discontinued by Week 4. The study drug dose should remain unchanged during the first 4 to 6 weeks following treatment initiation. For drugs included as part of a patient’s prior antipsychotic treatment regimen other than the main agent, continuation of only one drug will be allowed during the study. The main agent is defined as an antipsychotic used at a dose greater than 50% of the daily CP equivalent. The dose should remain the same throughout the study and the drug must have been used for at least 30 days prior to the date of informed consent. The total antipsychotic dose, including the dose of the study drug, should not exceed a CP equivalent dose of 1,000 mg/day. The study drugs will be administered in accordance with the Japanese package insert. The dosage will be adjusted at the discretion of the attending physician within the range specified by the package insert.

Following the pharmacotherapy alone period, the NEAR combination treatment period will begin. NEAR will consist of cognitive task sessions lasting 45–60 min and bridging sessions lasting for 10 to 20 min. These sessions will be conducted twice weekly for 24 weeks. At least one of the practitioners at each site will have received training approved by the developer of NEAR, Alice Medalia (35). To ensure NEAR is being implemented correctly, on-site monitoring will be conducted for some sites using a fidelity scale. Regular supervision meetings will be held by the NEAR practitioners at each facility, either onsite or online. In this period, the dose of the study drug and other concomitant drugs will be maintained without change from the dose used during the pharmacotherapy alone period, but the dose of these drugs can be changed if the attending physician judges it necessary to do so.

2.4 Prohibited and restricted concomitant medications and therapies

Prohibited concomitant medications are as follows: as-needed but regular use of antipsychotic medications; adrenaline; strong inhibitors and inducers of cytochrome P450 3A4; and drugs that affect dopaminergic nerve activity, such as psychostimulants and prokinetic agents. Prohibited concomitant therapies are as follows: neuromodulation therapies such as ECT and repetitive transcranial magnetic stimulation therapy, any new psychotherapy other than NEAR, and psychosocial approaches that may affect cognitive function such as daycare and occupational therapy.

Restricted concomitant medications include antipsychotic drugs, psychotropic drugs, and antiparkinsonian drugs. Restrictions for antipsychotic drugs are as follows: antipsychotic drugs for treatment of adverse events (AEs) will be permitted on an as-needed basis up to three times weekly.

Psychotropic drugs are permitted under the following conditions. In general, psychotropic drugs (including antipsychotic drugs other than the main agent) that have been used for at least 30 days prior to the date of informed consent will be continued at the same dose during study participation. If any other psychotropic drug is used on an as-needed basis for treatment of AEs, lorazepam may be used up to 5 times weekly at a dose of ≤1 mg/day. Patients with insomnia may be treated up to 5 times weekly with zolpidem (≤10 mg/dose), eszopiclone (≤2 mg/dose), or zopiclone (≤10 mg/dose). However, none of these drugs should be used within the 12 h prior to cognitive function testing. Antiparkinsonian drugs may be used at an equivalent biperiden hydrochloride dose of ≤3 mg/day. Any concomitant therapy that has been used for at least 30 days prior to the date of informed consent may be continued at the same dosage during participation in the study.

2.5 Endpoints

The primary endpoint is the change from baseline in BAC App composite T-score at the end of the NEAR combination treatment period. BACS is a tool to assess both the composite and individual domain scores of cognitive function that are most frequently impaired and most strongly associated with outcomes in schizophrenia (36). The domains assessed include verbal memory, working memory, motor speed, attention, executive functions, and verbal fluency. BACS-J is the validated, Japanese version of BACS (37). The BAC App, which will be used in this study, is a tablet version of BACS/BACS-J (31).

Secondary endpoints include the change from baseline at the end of the NEAR combination treatment period in the Positive and Negative Syndrome Scale (PANSS) (38, 39), Brief Negative Symptom Scale (BNSS) (40, 41), Montgomery Åsberg Depression Rating Scale (MADRS) (42), BAC App subscale T-score, University of California San Diego Performance-based Skills Assessment-Brief (UPSA-B) (43, 44), Specific Levels of Functioning Scale (SLOF) (45, 46), Schizophrenia Quality of Life Scale (47, 48), EQ-5D-5L (4951), Work Productivity and Activity Impairment Questionnaire (52), and Defeatist Performance Belief (5355). Change from baseline to the end of the pharmacotherapy alone period and change from the end of the pharmacotherapy alone period to the end of the NEAR combination treatment period in each of these scale scores will also be included as secondary endpoints. Additional endpoints will include the proportion of patients who successfully switch from their prior antipsychotic treatment to the study drugs, the proportion of patients who discontinue the study treatments, the total number of NEAR sessions performed as part of the study treatment, and the proportion of patients who discontinue NEAR. All study raters will have received training in the use of PANSS, BNSS, MADRS, SLOF, UPSA-B, and BACS-J, as well as operational training for the BAC App (VeraSci).

Safety endpoints will include AEs, change in Drug-Induced Extrapyramidal Symptoms Scale (DIEPSS) from baseline and the pharmacotherapy alone period to the NEAR combination treatment period (56, 57), change in DIEPSS from baseline to the pharmacotherapy alone period, vital signs, height, body weight, and laboratory tests.

2.6 Sample size

Assuming the standardized group difference of 0.5 based on the effect size (0.82 and 0.32) of previous studies (20, 27, 29, 30), the mixed models for repeated measures (MMRM) requires 64 patients for each group to achieve 80% power to detect a group difference of 0.5 at a two-sided significance level of 0.05 (58). With the anticipation that some patients would fail to switch from their prior antipsychotic drug to the study treatment, a dropout rate of 25% was assumed (27). Based on the above, the target sample size of this study was determined to be 170 patients (85 per group).

2.7 Statistical analyses

The efficacy and safety analyses will be based on the full analysis set, which will include all patients who are randomly allocated, undergo treatment, and are evaluated at least once. The per-protocol set will also be analyzed. Two-sided p-values will be presented; p < 0.05 will be considered statistically significant.

The primary endpoint, change from baseline to end of the NEAR combination treatment period in BAC App composite T-score, will be analyzed using the MMRM to estimate the difference between the groups. Covariates will be allocated group, time point, interaction term of the allocated group and time point, and baseline score. For all other scores of change, the repeated measures will be analyzed using the MMRM, and one-point measures will be analyzed using the linear models.

As a secondary analysis of changes from the end of the pharmacotherapy alone period, MMRM with the inverse probability weighting method will be used to adjust the imbalance between the groups caused by dropouts during the pharmacotherapy alone period. Weights will be estimated using logistic regression with explanatory variables that will be selected from treatment group, patient characteristics, baseline scale scores, occurrence of serious adverse effects, and their interaction terms.

The proportion of patients who complete the switch to the study drug, discontinue the pharmacotherapy alone period, and discontinue the NEAR combination treatment period will be compared between treatment groups using Fisher’s exact test. The number of NEAR sessions completed will be compared between treatment groups using the Wilcoxon test. Subgroup analyses will be performed by baseline BAC App composite T-score, age, sex, duration of disease, and baseline BAC App symbol coding score. Missing data will not be imputed.

AEs will be coded by System Organ Class and Preferred Term per the Medical Dictionary for Regulatory Activities, version J.25.1 or higher. The frequency and proportion of patients reporting AEs will be summarized by time point and group.

All statistical analyses will be conducted using SAS version 9.4 or higher (SAS Institute Inc., Cary, NC, USA) or R version 3.6 or higher.

3 Discussion

The VICTORY-S study will examine the effects of treatment with either lurasidone or paliperidone combined with cognitive remediation on cognitive function in patients with schizophrenia. A network meta-analysis of 54 randomized controlled trials that included 5,866 patients with schizophrenia found that lurasidone treatment, when compared with other antipsychotic agents, elicited the greatest improvement in attentional function, working memory, and cognitive composite score (59). Recent efforts aimed at enhancing improvement in cognitive function with treatment have explored combining pharmacological interventions with cognitive remediation; to our knowledge, only one study to date has evaluated the efficacy of combining lurasidone and cognitive remediation for the treatment of schizophrenia (30). In that study, patients received lurasidone combined with either cognitive remediation or video game use. However, cognitive function had recovered by the time cognitive remediation was initiated, and there was no antipsychotic control. For those reasons, the previous study was not able to assess whether lurasidone enhances the therapeutic effects of cognitive remediation. Given the reported beneficial effects of lurasidone on cognitive function (2529), we hypothesize that the lurasidone plus NEAR combination group may experience a greater improvement in cognitive and social function than the paliperidone combination group. VICTORY-S is the first study to examine the potential of lurasidone to facilitate the therapeutic effects of cognitive remediation for schizophrenia.

Adequate social function supports the ability of patients with schizophrenia to live in social communities. Together with improvement of subjective satisfaction, improvement of social function is considered an important treatment goal for schizophrenia. Given that cognitive function is the factor most related to social function (7), treatment is often aimed at its improvement. Studies have shown that neither pharmacological nor psychosocial treatment alone have adequate effect sizes (0.17–0.46) (20, 21). Though there are few reports of the effectiveness of combination therapy, many clinicians treat their patients with a combination of pharmacological and psychosocial therapy. Cognitive remediation has been shown to improve social function when added to other psychosocial treatments; however, the time and effort needed to maintain combination psychosocial treatments can be a barrier to patient participation (21). Therefore, we plan to examine the efficacy of a combination of cognitive remediation and lurasidone, an approved antipsychotic that has been suggested to improve cognitive function. The results of this study are expected to help guide treatment choices in daily clinical practice. In addition, if combined lurasidone and cognitive remediation therapies elicit stronger improvement in social function than monotherapy, then there is greater hope that patients with schizophrenia will be able to participate in social activities while continuing treatment for cognitive function.

Green et al. proposed a path diagram of (1) cognitive function; (2) defeatist beliefs; (3) negative symptoms; and (4) social function as a mechanism by which cognitive function affects social function (60). With this in mind, we set the change from baseline in BAC App composite T-score as the primary endpoint of this study and set the endpoints in the path diagram as secondary outcomes. This strategy may reveal which parts of the mechanism are affected by pharmacotherapy and which parts are affected by the addition of cognitive remediation. Thus, the results of this study are expected to be comparable with previously published studies. The assumed treatment period for cognitive remediation is 3 to 6 months, based on the average of 16.7 weeks reported in the meta-analysis (21); the present study will evaluate study endpoints at both 18 and 30 weeks, allowing for the evaluation of treatment duration. From this, we hope that the findings of this study will assist clinicians in implementing NEAR more strategically.

Paliperidone was selected as the active comparator for use in this study. Paliperidone, the major active metabolite of risperidone (9-hydroxy-risperidone), has inhibitory effects on D2 and 5-HT2A receptors; as such, it is classified as a serotonin–dopamine antagonist (61). Paliperidone is currently approved for the treatment of schizophrenia in various regions, including the United States, the European Union, and Japan, and is considered to be a standard treatment for schizophrenia. In a network meta-analysis of 34 randomized controlled trials of antipsychotic treatment for schizophrenia (62), paliperidone was significantly superior to placebo in all-cause discontinuation rates and ranked highest among the other antipsychotic agents with respect to Surface Under the Cumulative Ranking Curves, indicating the usefulness of this drug in schizophrenia treatment. It has also been shown that paliperidone does not have an adverse effect on cognitive function (63). Based on this information, we chose paliperidone as the active comparator for use in this study.

Based on the results of previous phase 3 clinical trials of lurasidone and paliperidone, the pharmacotherapy alone period is set to 6 weeks in this study. In the previous clinical trials, the PANSS total score significantly improved after 6 weeks of lurasidone or paliperidone treatment compared to placebo (6467). Furthermore, a previous study of lurasidone reported a significant improvement in cognitive function compared to placebo at 6 weeks (27). The present study will examine not only the effects of the combination of lurasidone and paliperidone with NEAR, but also these monotherapies. Therefore, the efficacy of these study drugs should have reached a steady state prior to the initiation of the NEAR combination treatment, and 6 weeks is considered sufficient as the pharmacotherapy alone period.

Cognitive function in patients with schizophrenia is also thought to be influenced by daily lifestyle, and it has been suggested that aerobic exercise and aerobic exercise combined with cognitive remediation may improve cognitive function (68, 69). It may be worthwhile to discuss the improvement effects on cognitive function between the results of this study (combination of lurasidone with cognitive remediation) and combination of aerobic exercise and cognitive remediation in the future.

4 Conclusion

The VICTORY-S study will be the first to examine the potential of lurasidone to enhance the therapeutic effects of cognitive remediation for schizophrenia. The findings from this study are expected to provide useful insight for clinicians who treat patients with schizophrenia.

Ethics statement

The study protocol was approved by the Clinical Research Review Board of the National Center of Neurology and Psychiatry, National Research and Development Agency (CRB3200004), and written informed consent will be obtained from patients before enrollment. The study will be conducted in accordance with the principles of the Declaration of Helsinki and the Clinical Trials Act in Japan, and is registered under the identifier jRCTs031200338.

Author contributions

RK: Investigation, Writing – original draft, Writing – review & editing. SaI: Conceptualization, Investigation, Writing – original draft, Writing – review & editing. HO: Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. MO: Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. ShI: Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. RT: Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. LA: Investigation, Writing – original draft, Writing – review & editing. MM: Investigation, Writing – original draft, Writing – review & editing. ST: Conceptualization, Writing – original draft, Writing – review & editing. YN: Conceptualization, Writing – original draft, Writing – review & editing. DH: Conceptualization, Writing – original draft, Writing – review & editing. TI: Conceptualization, Writing – original draft, Writing – review & editing. KN: Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by Sumitomo Pharma Co., Ltd., which was involved in review of the research protocol developed by the protocol development committee, and writing of the report and decision to submit the report for publication; but will not be involved in the collection, management, analysis of data for this study and discussions of results interpretation.

Acknowledgments

The authors thank the investigators and their institutions for their participation and cooperation in this study. The authors also thank Sarah Bubeck, PhD, of Edanz (www.edanz.com) for providing medical writing support, which was funded by Sumitomo Pharma Co., Ltd., in accordance with Good Publication Practice guidelines (https://www.ismpp.org/gpp-2022).

Conflict of interest

RK received honoraria from Sumitomo Pharma Co., Ltd. SaI received honoraria from Nippon Boehringer Ingelheim Co., Ltd., Lundbeck Japan K.K., Sumitomo Pharma Co., Ltd., and Takeda Pharmaceutical Co., Ltd. HO received research funding from Otsuka Pharmaceutical Co., Ltd.; and is the director of Japan Society of Clinical Trials and Research and The Japanese Association of Pharmaceutical Medicine. MO received honoraria from Pfizer Japan Inc., AstraZeneca K.K., and EP-SOGO Co., Ltd. ST and YN are employees of Sumitomo Pharma Co., Ltd. KN received honoraria from Sumitomo Pharma Co., Ltd., Otsuka Pharmaceutical Co., Ltd., Meiji Seika Pharma Co., Ltd., Janssen Pharmaceutical K.K., Mitsubishi Tanabe Pharma Corp., Takeda Pharmaceutical Co., Ltd., Lundbeck Japan K.K., Viatris Inc., Eisai Co., Ltd., Nippon Boehringer Ingelheim Co., Ltd., and Mochida Pharmaceutical Co., Ltd.; support for transportation to attend meetings from Sumitomo Pharma Co., Ltd., Otsuka Pharmaceutical Co., Ltd., Meiji Seika Pharma Co., Ltd., Janssen Pharmaceutical K.K., Mitsubishi Tanabe Pharma Corp., Takeda Pharmaceutical Co., Ltd., Nippon Boehringer Ingelheim Co., Ltd., and Mochida Pharmaceutical Co., Ltd.; and his institution received grants from Shionogi & Co., Ltd., Sumitomo Pharma Co., Ltd., Otsuka Pharmaceutical Co., Ltd., Meiji Seika Pharma Co., Ltd., Janssen Pharmaceutical K.K., Mitsubishi Tanabe Pharma Corp., Nippon Boehringer Ingelheim Co., Ltd., and Mochida Pharmaceutical Co., Ltd.

The remaining 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.

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Footnotes

References

1. Owen, MJ, Sawa, A, and Mortensen, PB. Schizophrenia. Lancet. (2016) 388:86–97. doi: 10.1016/S0140-6736(15)01121-6

PubMed Abstract | Crossref Full Text | Google Scholar

2. Bosc, M. Assessment of social functioning in depression. Compr Psychiatry. (2000) 41:63–9. doi: 10.1016/s0010-440x(00)90133-0

Crossref Full Text | Google Scholar

3. Zhang, JP, Gallego, JA, Robinson, DG, Malhotra, AK, Kane, JM, and Correll, CU. Efficacy and safety of individual second-generation vs. first-generation antipsychotics in first-episode psychosis: a systematic review and meta-analysis. Int J Neuropsychopharmacol. (2013) 16:1205–18. doi: 10.1017/S1461145712001277

PubMed Abstract | Crossref Full Text | Google Scholar

4. Fabrazzo, M, Cipolla, S, Camerlengo, A, Perris, F, and Catapano, F. Second-generation antipsychotics’ effectiveness and tolerability: a review of real-world studies in patients with schizophrenia and related disorders. J Clin Med. (2022) 11:4530. doi: 10.3390/jcm11154530

PubMed Abstract | Crossref Full Text | Google Scholar

5. Galderisi, S, Kaiser, S, Bitter, I, Nordentoft, M, Mucci, A, Sabé, M, et al. EPA guidance on treatment of negative symptoms in schizophrenia. Eur Psychiatry. (2021) 64:e21. doi: 10.1192/j.eurpsy.2021.13

PubMed Abstract | Crossref Full Text | Google Scholar

6. Japanese Society of Neuropsychopharmacology. Japanese Society of Neuropsychopharmacology: “guideline for pharmacological therapy of schizophrenia”. Neuropsychopharmacol Rep. (2021) 41:266–324. doi: 10.1002/npr2.12193

PubMed Abstract | Crossref Full Text | Google Scholar

7. Green, MF. Impact of cognitive and social cognitive impairment on functional outcomes in patients with schizophrenia. J Clin Psychiatry. (2016) 77:8–11. doi: 10.4088/JCP.14074su1c.02

Crossref Full Text | Google Scholar

8. Harvey, PD, Strassnig, MT, and Silberstein, J. Prediction of disability in schizophrenia: symptoms, cognition, and self-assessment. J Exp Psychopathol. (2019) 10:204380871986569. doi: 10.1177/2043808719865

Crossref Full Text | Google Scholar

9. DeRosse, P, Nitzburg, GC, Blair, M, and Malhotra, AK. Dimensional symptom severity and global cognitive function predict subjective quality of life in patients with schizophrenia and healthy adults. Schizophr Res. (2018) 195:385–90. doi: 10.1016/j.schres.2017.10.018

PubMed Abstract | Crossref Full Text | Google Scholar

10. Pascal de Raykeer, R, Hoertel, N, Blanco, C, Lavaud, P, Kaladjian, A, and Blumenstock, Y. Effects of depression and cognitive impairment on quality of life in older adults with schizophrenia spectrum disorder: results from a multicenter study. J Affect Disord. (2019) 256:164–75. doi: 10.1016/j.jad.2019.05.063

PubMed Abstract | Crossref Full Text | Google Scholar

11. Hori, H, Atake, K, Katsuki, A, and Yoshimura, R. Effects of the number of hospitalizations on cognitive function in Japanese patients with stable schizophrenia. CNS Spectr. (2020) 26:658–63. doi: 10.1017/S1092852920001728

PubMed Abstract | Crossref Full Text | Google Scholar

12. Bilder, RM, Goldman, RS, Robinson, D, Reiter, G, Bell, L, Bates, JA, et al. Neuropsychology of first-episode schizophrenia: initial characterization and clinical correlates. Am J Psychiatry. (2000) 157:549–59. doi: 10.1176/appi.ajp.157.4.549

PubMed Abstract | Crossref Full Text | Google Scholar

13. Nuechterlein, KH, Dawson, ME, Gitlin, M, Ventura, J, Goldstein, MJ, Snyder, KS, et al. Developmental processes in schizophrenic disorders: longitudinal studies of vulnerability and stress. Schizophr Bull. (1992) 18:387–425. doi: 10.1093/schbul/18.3.387

Crossref Full Text | Google Scholar

14. Keefe, RS. The longitudinal course of cognitive impairment in schizophrenia: an examination of data from premorbid through posttreatment phases of illness. J Clin Psychiatry. (2014) 75:8–13. doi: 10.4088/JCP.13065su1.02

Crossref Full Text | Google Scholar

15. Parlar, ME, and Heinrichs, RW. Cognitive decline and impairment in schizophrenia spectrum disorders reconsidered. Schizophr Res. (2021) 228:626–32. doi: 10.1016/j.schres.2020.11.020

PubMed Abstract | Crossref Full Text | Google Scholar

16. Green, MJ, Girshkin, L, Kremerskothen, K, Watkeys, O, and Quidé, Y. A systematic review of studies reporting data-driven cognitive subtypes across the psychosis spectrum. Neuropsychol Rev. (2020) 30:446–60. doi: 10.1007/s11065-019-09422-7

PubMed Abstract | Crossref Full Text | Google Scholar

17. Habtewold, TD, Rodijk, LH, Liemburg, EJ, Sidorenkov, G, Boezen, HM, Bruggeman, R, et al. A systematic review and narrative synthesis of data-driven studies in schizophrenia symptoms and cognitive deficits. Transl Psychiatry. (2020) 10:244. doi: 10.1038/s41398-020-00919-x

PubMed Abstract | Crossref Full Text | Google Scholar

18. Silberstein, J, and Harvey, PD. Cognition, social cognition, and self-assessment in schizophrenia: prediction of different elements of everyday functional outcomes. CNS Spectr. (2019) 24:88–93. doi: 10.1017/S1092852918001414

PubMed Abstract | Crossref Full Text | Google Scholar

19. Nuechterlein, KH, Subotnik, KL, Green, MF, Ventura, J, Asarnow, RF, Gitlin, MJ, et al. Neurocognitive predictors of work outcome in recent-onset schizophrenia. Schizophr Bull. (2011) 37:S33–40. doi: 10.1093/schbul/sbr084

Crossref Full Text | Google Scholar

20. Woodward, ND, Purdon, SE, Meltzer, HY, and Zald, DH. A meta-analysis of neuropsychological change to clozapine, olanzapine, quetiapine, and risperidone in schizophrenia. Int J Neuropsychopharmacol. (2005) 8:457–72. doi: 10.1017/S146114570500516X

PubMed Abstract | Crossref Full Text | Google Scholar

21. Wykes, T, Huddy, V, Cellard, C, McGurk, SR, and Czobor, P. A meta-analysis of cognitive remediation for schizophrenia: methodology and effect sizes. Am J Psychiatry. (2011) 168:472–85. doi: 10.1176/appi.ajp.2010.10060855

PubMed Abstract | Crossref Full Text | Google Scholar

22. Meltzer, HY, Park, S, and Kessler, R. Cognition, schizophrenia, and the atypical antipsychotic drugs. Proc Natl Acad Sci U S A. (1999) 96:13591–3. doi: 10.1073/pnas.96.24.13591

PubMed Abstract | Crossref Full Text | Google Scholar

23. Harvey, PD, and Sand, M. Pharmacological augmentation of psychosocial and remediation training efforts in schizophrenia. Front Psych. (2017) 8:177. doi: 10.3389/fpsyt.2017.00177

PubMed Abstract | Crossref Full Text | Google Scholar

24. Ishibashi, T, Horisawa, T, Tokuda, K, Ishiyama, T, Ogasa, M, Tagashira, R, et al. Pharmacological profile of lurasidone, a novel antipsychotic agent with potent 5-hydroxytryptamine 7 (5-HT7) and 5-HT1A receptor activity. J Pharmacol Exp Ther. (2010) 334:171–81. doi: 10.1124/jpet.110.167346

PubMed Abstract | Crossref Full Text | Google Scholar

25. Ishiyama, T, Tokuda, K, Ishibashi, T, Ito, A, Toma, S, and Ohno, Y. Lurasidone (SM-13496), a novel atypical antipsychotic drug, reverses MK-801-induced impairment of learning and memory in the rat passive-avoidance test. Eur J Pharmacol. (2007) 572:160–70. doi: 10.1016/j.ejphar.2007.06.058

PubMed Abstract | Crossref Full Text | Google Scholar

26. He, B, Yu, L, Li, S, Xu, F, Yang, L, Ma, S, et al. Neuroprotective effect of lurasidone via antagonist activities on histamine in a rat model of cranial nerve involvement. Mol Med Rep. (2018) 17:6002–8. doi: 10.3892/mmr.2018.8595

PubMed Abstract | Crossref Full Text | Google Scholar

27. Harvey, PD, Siu, CO, Hsu, J, Cucchiaro, J, Maruff, P, and Loebel, A. Effect of lurasidone on neurocognitive performance in patients with schizophrenia: a short-term placebo- and active-controlled study followed by a 6-month double-blind extension. Eur Neuropsychopharmacol. (2013) 23:1373–82. doi: 10.1016/j.euroneuro.2013.08.003

Crossref Full Text | Google Scholar

28. Diao, X, Luo, D, Wang, D, Lai, J, Li, Q, Zhang, P, et al. Lurasidone versus quetiapine for cognitive impairments in young patients with bipolar depression: a randomized, controlled study. Pharmaceuticals (Basel). (2022) 15:1403. doi: 10.3390/ph15111403

PubMed Abstract | Crossref Full Text | Google Scholar

29. Yatham, LN, Mackala, S, Basivireddy, J, Ahn, S, Walji, N, Hu, C, et al. Lurasidone versus treatment as usual for cognitive impairment in euthymic patients with bipolar I disorder: a randomised, open-label, pilot study. Lancet Psychiatry. (2017) 4:208–17. doi: 10.1016/S2215-0366(17)30046-9. Erratum in: Lancet Psychiatry. (2017) 4, 185

PubMed Abstract | Crossref Full Text | Google Scholar

30. Kantrowitz, JT, Sharif, Z, Medalia, A, Keefe, RS, Harvey, P, Bruder, G, et al. A multicenter, rater-blinded, randomized controlled study of auditory processing-focused cognitive remediation combined with open-label lurasidone in patients with schizophrenia and schizoaffective disorder. J Clin Psychiatry. (2016) 77:799–806. doi: 10.4088/JCP.15m09998

PubMed Abstract | Crossref Full Text | Google Scholar

31. Atkins, AS, Tseng, T, Vaughan, A, Twamley, EW, Harvey, P, Patterson, T, et al. Validation of the tablet-administered brief assessment of cognition (BAC app). Schizophr Res. (2017) 181:100–6. doi: 10.1016/j.schres.2016.10.010

PubMed Abstract | Crossref Full Text | Google Scholar

32. Kaneda, Y, Sumiyoshi, T, Nakagome, K, Ikezawa, S, Ohmori, T, Yasui-Furukori, N, et al. Evaluation of cognitive functions in a normal population in Japan using the brief assessment of cognition in schizophrenia Japanese version (BACS-J). Seishin Igaku. (2013) 55:167–75. doi: 10.11477/mf.1405102387

Crossref Full Text | Google Scholar

33. Matsuoka, K, Uno, M, Kasai, K, Koyama, K, and Kim, Y. Estimation of premorbid IQ in individuals with Alzheimer’s disease using Japanese ideographic script (Kanji) compound words: Japanese version of National Adult Reading Test. Psychiatry Clin Neurosci. (2006) 60:332–9. doi: 10.1111/j.1440-1819.2006.01510.x

PubMed Abstract | Crossref Full Text | Google Scholar

34. Matsuoka, K, and Kim, Y. Japanese adult reading test (JART). Tokyo, Japan: Shinkoh Igaku Shuppansha (2007).

Google Scholar

35. Medalia, A, and Freilich, B. The neuropsychological educational approach to cognitive remediation (NEAR) model: practice principles and outcome studies. Am J Psychiatric Rehab. (2008) 11:123–43. doi: 10.1080/15487760801963660

Crossref Full Text | Google Scholar

36. Keefe, RS, Goldberg, TE, Harvey, PD, Gold, JM, Poe, MP, and Coughenour, L. The Brief Assessment of Cognition in Schizophrenia: reliability, sensitivity, and comparison with a standard neurocognitive battery. Schizophr Res. (2004) 68:283–97. doi: 10.1016/j.schres.2003.09.011

PubMed Abstract | Crossref Full Text | Google Scholar

37. Kaneda, Y, Sumiyoshi, T, Keefe, R, Ishimoto, Y, Numata, S, and Ohmori, T. Brief assessment of cognition in schizophrenia: validation of the Japanese version. Psychiatry Clin Neurosci. (2007) 61:602–9. doi: 10.1111/j.1440-1819.2007.01725.x

Crossref Full Text | Google Scholar

38. Kay, SR, Fiszbein, A, and Opler, LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull. (1987) 13:261–76. doi: 10.1093/schbul/13.2.261

Crossref Full Text | Google Scholar

39. Hashimoto, N, Takahashi, K, Fujisawa, D, Aoyama, K, Nakagawa, A, and Okamura, N. A pilot validation study of the Japanese translation of the positive and negative syndrome scale (PANSS). Asian J Psychiatr. (2020) 54:102210. doi: 10.1016/j.ajp.2020.102210

PubMed Abstract | Crossref Full Text | Google Scholar

40. Kirkpatrick, B, Strauss, GP, Nguyen, L, Fischer, BA, Daniel, DG, Cienfuegos, A, et al. The brief negative symptom scale: psychometric properties. Schizophr Bull. (2011) 37:300–5. doi: 10.1093/schbul/sbq059

PubMed Abstract | Crossref Full Text | Google Scholar

41. Hashimoto, N, Toyomaki, A, Oka, M, Takanobu, K, Okubo, R, Narita, H, et al. Pilot validation study of the Japanese translation of the Brief Negative Symptoms Scale (BNSS). Neuropsychiatr Dis Treat. (2019) 15:3511–8. doi: 10.2147/NDT.S237449

PubMed Abstract | Crossref Full Text | Google Scholar

42. Williams, JB, and Kobak, KA. Development and reliability of a structured interview guide for the Montgomery Asberg Depression Rating Scale (SIGMA). Br J Psychiatry. (2008) 192:52–8. doi: 10.1192/bjp.bp.106.032532

Crossref Full Text | Google Scholar

43. Mausbach, BT, Harvey, PD, Goldman, SR, Jeste, DV, and Patterson, TL. Development of a brief scale of everyday functioning in persons with serious mental illness. Schizophr Bull. (2007) 33:1364–72. doi: 10.1093/schbul/sbm014

PubMed Abstract | Crossref Full Text | Google Scholar

44. Sumiyoshi, C, Takaki, M, Okahisa, Y, Patterson, TL, Harvey, PD, and Sumiyoshi, T. Utility of the UCSD performance-based skills assessment-brief Japanese version: discriminative ability and relation to neurocognition. Schizophr. Res. Cogn. (2014) 1:137–43. doi: 10.1016/j.scog.2014.08.002

PubMed Abstract | Crossref Full Text | Google Scholar

45. Schneider, LC, and Struening, EL. SLOF: a behavioral rating scale for assessing the mentally ill. Soc Work Res Abstr. (1983) 19:9–21. doi: 10.1093/swra/19.3.9

Crossref Full Text | Google Scholar

46. Sumiyoshi, T, Nishida, K, Niimura, H, Toyomaki, A, Morimoto, T, Tani, M, et al. Cognitive insight and functional outcome in schizophrenia; a multi-center collaborative study with the specific level of functioning scale-Japanese version. Schizophr. Res. Cogn. (2016) 6:9–14. doi: 10.1016/j.scog.2016.08.001

PubMed Abstract | Crossref Full Text | Google Scholar

47. Wilkinson, G, Hesdon, B, Wild, D, Cookson, R, Farina, C, Sharma, V, et al. Self-report quality of life measure for people with schizophrenia: the SQLS. Br J Psychiatry. (2000) 177:42–6. doi: 10.1192/bjp.177.1.42

PubMed Abstract | Crossref Full Text | Google Scholar

48. Kaneda, Y, Imakura, A, Fujii, A, and Ohmori, T. Schizophrenia Quality of Life Scale: validation of the Japanese version. Psychiatry Res. (2002) 113:107–13. doi: 10.1016/s0165-1781(02)00240-8

PubMed Abstract | Crossref Full Text | Google Scholar

49. Herdman, M, Gudex, C, Lloyd, A, Janssen, M, Kind, P, Parkin, D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. (2011) 20:1727–36. doi: 10.1007/s11136-011-9903-x

PubMed Abstract | Crossref Full Text | Google Scholar

50. Ikeda, S, Shiroiwa, T, and Igarashi, I. Developing a Japanese version of the EQ-5D-5L value set. J Natl Inst Public Health. (2015) 64:47–55.

Google Scholar

51. Shiroiwa, T, Fukuda, T, Ikeda, S, Igarashi, A, Noto, S, Saito, S, et al. Japanese population norms for preference-based measures: EQ-5D-3L, EQ-5D-5L, and SF-6D. Qual Life Res. (2016) 25:707–19. doi: 10.1007/s11136-015-1108-2

Crossref Full Text | Google Scholar

52. Reilly, MC, Zbrozek, AS, and Dukes, EM. The validity and reproducibility of a work productivity and activity impairment instrument. PharmacoEconomics. (1993) 4:353–65. doi: 10.2165/00019053-199304050-00006

Crossref Full Text | Google Scholar

53. Grant, PM, and Beck, AT. Defeatist beliefs as a mediator of cognitive impairment, negative symptoms, and functioning in schizophrenia. Schizophr Bull. (2009) 35:798–806. doi: 10.1093/schbul/sbn008

PubMed Abstract | Crossref Full Text | Google Scholar

54. Weissman, AN, and Beck, AT. (1978). Development and validation of the dysfunctional attitude scale: a preliminary investigation. Available at: https://files.eric.ed.gov/fulltext/ED167619.pdf (Accessed September 17, 2023).

Google Scholar

55. Shinji, S, Eriko, T, Yoshihiko, T, and Yutaka, O. Testing Beck’s model of depression: using the DAS and the ATQ. Psychol Res. (2004) 25:14–23.

Google Scholar

56. Inada, T. Evaluation and diagnosis of drug-induced extrapyramidal symptoms: Commentary on the DIEPSS and guide to its usage. Tokyo, Japan: Seiwa Shoten Publishers Inc. (1996).

Google Scholar

57. Inada, T. A second-generation rating scale for antipsychotic-induced extrapyramidal symptoms: Drug-induced extrapyramidal symptoms scale. Tokyo, Japan: Seiwa Shoten Publishers Inc. (2009).

Google Scholar

58. Lu, K, Luo, X, and Chen, PY. Sample size estimation for repeated measures analysis in randomized clinical trials with missing data. Int J Biostat. (2008) 4. doi: 10.2202/1557-4679.1098

PubMed Abstract | Crossref Full Text | Google Scholar

59. Baldez, DP, Biazus, TB, Rabelo-da-Ponte, FD, Nogaro, GP, Martins, DS, Kunz, M, et al. The effect of antipsychotics on the cognitive performance of individuals with psychotic disorders: network meta-analyses of randomized controlled trials. Neurosci Biobehav Rev. (2021) 126:265–75. doi: 10.1016/j.neubiorev.2021.03.028

PubMed Abstract | Crossref Full Text | Google Scholar

60. Green, MF, Hellemann, G, Horan, WP, Lee, J, and Wynn, JK. From perception to functional outcome in schizophrenia: modeling the role of ability and motivation. Arch Gen Psychiatry. (2012) 69:1216–24. doi: 10.1001/archgenpsychiatry.2012.652

PubMed Abstract | Crossref Full Text | Google Scholar

61. Invega® (paliperidone) extended-release tablets: highlights of prescribing information. (2010). Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2010/021999s018lbl.pdf. (Accessed September 16, 2023).

Google Scholar

62. Kishi, T, Ikuta, T, Sakuma, K, Okuya, M, and Iwata, N. Efficacy and safety of antipsychotic treatments for schizophrenia: a systematic review and network meta-analysis of randomized trials in Japan. J Psychiatr Res. (2021) 138:444–52. doi: 10.1016/j.jpsychires.2021.04.032

PubMed Abstract | Crossref Full Text | Google Scholar

63. Pandina, G, Nuamah, I, Petersen, T, Singh, J, Savitz, A, and Hough, D. Cognitive functioning in adolescents with schizophrenia treated with paliperidone extended-release: 6-Month exploratory analysis from an open-label, single-arm safety study. Schizophr Res Cogn. (2020) 20:100173. doi: 10.1016/j.scog.2020.100173

PubMed Abstract | Crossref Full Text | Google Scholar

64. Higuchi, T, Ishigooka, J, Iyo, M, Yeh, C-B, Ebenezer, EG, Liang, KY, et al. Lurasidone in the treatment of schizophrenia: results of a double-blind, placebo-controlled trial in Asian patients. Asia Pac Psychiatry. (2019) 11:e12352. doi: 10.1111/appy.12352

PubMed Abstract | Crossref Full Text | Google Scholar

65. Higuchi, T, Iyo, M, Kwon, JS, Chou, Y-H, Chen, H-K, Chen, J-Y, et al. Randomized, double-blind, placebo, and risperidone-controlled study of lurasidone in the treatment of schizophrenia: results of an inconclusive 6-week trial. Asia Pac Psychiatry. (2019) 11:e12354. doi: 10.1111/appy.12354

PubMed Abstract | Crossref Full Text | Google Scholar

66. Iyo, M, Ishigooka, J, Nakamura, M, Sakaguchi, R, Okamoto, K, Mao, Y, et al. Efficacy and safety of lurasidone in acutely psychotic patients with schizophrenia: a 6-week, randomized, double-blind, placebo-controlled study. Psychiatry Clin Neurosci. (2021) 75:227–35. doi: 10.1111/pcn.13221

PubMed Abstract | Crossref Full Text | Google Scholar

67. Davidson, M, Emsley, R, Kramer, M, Ford, L, Pan, G, Lim, P, et al. Efficacy, safety and early response of paliperidone extended-release tablets (paliperidone ER): results of a 6-week, randomized, placebo-controlled study. Schizophr Res. (2007) 93:117–30. doi: 10.1016/j.schres.2007.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

68. Firth, J, Stubbs, B, Rosenbaum, S, Vancampfort, D, Malchow, B, Schuch, F, et al. Aerobic exercise improves cognitive functioning in people with schizophrenia: a systematic review and Meta-analysis. Schizophr Bull. (2017) 43:sbw115–556. doi: 10.1093/schbul/sbw115

Crossref Full Text | Google Scholar

69. Takahashi, S, Keeser, D, Rauchmann, BS, Schneider-Axmann, T, Keller-Varady, K, Maurus, I, et al. Effect of aerobic exercise combined with cognitive remediation on cortical thickness and prediction of social adaptation in patients with schizophrenia. Schizophr Res. (2020) 216:397–407. doi: 10.1016/j.schres.2019.11.004

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: antipsychotics, cognitive impairment, cognitive remediation, lurasidone, Neuropsychological Educational Approach to Remediation (NEAR), paliperidone, schizophrenia

Citation: Kubota R, Ikezawa S, Oi H, Oba MS, Izumi S, Tsuno R, Adachi L, Miwa M, Toya S, Nishizato Y, Haga D, Iwane T and Nakagome K (2024) Valuable interaction with cognitive remediation and optimal antipsychotics for recovery in schizophrenia (VICTORY-S): study protocol for an interventional, open-label, randomized comparison of combined treatment with cognitive remediation and lurasidone or paliperidone. Front. Psychiatry. 14:1331356. doi: 10.3389/fpsyt.2023.1331356

Received: 01 November 2023; Accepted: 22 December 2023;
Published: 06 February 2024.

Edited by:

Stefano Barlati, University of Brescia, Italy

Reviewed by:

Yuji Ozeki, Shiga University of Medical Science, Japan
Yi Nam Suen, The University of Hong Kong, Hong Kong SAR, China

Copyright © 2024 Kubota, Ikezawa, Oi, Oba, Izumi, Tsuno, Adachi, Miwa, Toya, Nishizato, Haga, Iwane and Nakagome. 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: Kazuyuki Nakagome, bmFrYWdvbWVAbmNucC5nby5qcA==

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