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Hróbjartsson A, Boutron I, Hopewell S, Moher D, Schulz KF, Collins GS, Tunn R, Aggarwal R, Berkwits M, Berlin JA, Bhandari N, Butcher NJ, Campbell MK, Chidebe RCW, Elbourne DR, Farmer AJ, Fergusson DA, Golub RM, Goodman SN, Hoffmann TC, Ioannidis JPA, Kahan BC, Knowles RL, Lamb SE, Lewis S, Loder E, Offringa M, Ravaud P, Richards DP, Rockhold FW, Schriger DL, Siegfried NL, Staniszewska S, Taylor RS, Thabane L, Torgerson DJ, Vohra S, White IR, Chan AW. SPIRIT 2025 explanation and elaboration: updated guideline for protocols of randomised trials. BMJ 2025; 389:e081660. [PMID: 40294956 DOI: 10.1136/bmj-2024-081660] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/30/2025]
Affiliation(s)
- Asbjørn Hróbjartsson
- Centre for Evidence-Based Medicine Odense and Cochrane Denmark, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Isabelle Boutron
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Paris, France
- Centre d'Epidémiologie Clinique, Hôpital Hôtel Dieu, AP-HP, Paris, France
| | - Sally Hopewell
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Programme, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Kenneth F Schulz
- Department of Obstetrics and Gynaecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gary S Collins
- UK EQUATOR Centre, Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Ruth Tunn
- Oxford Clinical Trials Research Unit, Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Rakesh Aggarwal
- Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | | | - Jesse A Berlin
- Department of Biostatistics and Epidemiology, School of Public Health, Centre for Pharmacoepidemiology and Treatment Science, Rutgers University, New Brunswick, NJ, USA
- JAMA Network Open, Chicago, IL, USA
| | - Nita Bhandari
- Centre for Health Research and Development, Society for Applied Studies, New Delhi, India
| | - Nancy J Butcher
- Child Health Evaluation Services, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Marion K Campbell
- Aberdeen Centre for Evaluation, University of Aberdeen, Aberdeen, UK
| | - Runcie C W Chidebe
- Project PINK BLUE-Health and Psychological Trust Centre, Utako, Abuja, Nigeria
- Department of Sociology and Gerontology and Scripps Gerontology Centre, Miami University, OH, USA
| | - Diana R Elbourne
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Andrew J Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | | | - Robert M Golub
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Steven N Goodman
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
| | - Tammy C Hoffmann
- Institute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia
| | - John P A Ioannidis
- Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, and Meta-Research Innovation Centre at Stanford (METRICS), Stanford University, Stanford, CA, USA
| | - Brennan C Kahan
- MRC Clinical Trials Unit at University College London, London, UK
| | - Rachel L Knowles
- University College London, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Sarah E Lamb
- Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Steff Lewis
- Edinburgh Clinical Trials Unit, Usher Institute-University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Elizabeth Loder
- The BMJ, BMA House, London, UK
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin Offringa
- Child Health Evaluation Services, The Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Philippe Ravaud
- Université Paris Cité, Inserm, INRAE, Centre de Recherche Epidémiologie et Statistiques, Université Paris Cité, Paris, France
| | | | - Frank W Rockhold
- Duke Clinical Research Institute, Duke University Medical Centre, Durham, NC, USA
| | - David L Schriger
- Department of Emergency Medicine, University of California, Los Angeles, CA, USA
| | - Nandi L Siegfried
- Mental Health, Alcohol, Substance Use, and Tobacco Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Sophie Staniszewska
- Warwick Applied Health, Warwick Medical School, University of Warwick, Coventry, UK
| | - Rod S Taylor
- MRC/CSO Social and Public Health Sciences Unit and Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Lehana Thabane
- Department of Health Research Methods Evidence and Impact, McMaster University, Hamilton, ON, Canada
- St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - David J Torgerson
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - Sunita Vohra
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Ian R White
- Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, and Meta-Research Innovation Centre at Stanford (METRICS), Stanford University, Stanford, CA, USA
| | - An-Wen Chan
- Department of Medicine, Women's College Research Institute, University of Toronto, Toronto, ON, Canada
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Wang HJ, Chen W, Yan XL, Huang QY, Xu WD. Effect of comprehensive intervention model based on drug-psychology-society-skills on medication compliance and cognitive ability of chronic schizophrenia patients. World J Psychiatry 2024; 14:1947-1955. [PMID: 39704380 PMCID: PMC11622024 DOI: 10.5498/wjp.v14.i12.1947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 10/20/2024] [Accepted: 11/05/2024] [Indexed: 11/27/2024] Open
Abstract
BACKGROUND The intervention value of a drug-psycho-social-skill model on medication compliance and cognitive ability in patients with chronic schizophrenia was unknown. AIM To explore the intervention value of a drug-psycho-social-skill model on medication compliance and cognitive ability in patients with chronic schizophrenia. METHODS Overall, 98 out-patients and in-patients with chronic schizophrenia treated in our hospital from February 2022 to January 2023 were included and randomly divided into the study (50 patients) and control groups (48 patients). For 3 months, the control group was treated with conventional drugs, and the research group with a comprehensive intervention model of drug-psychology-society-skills. Data were obtained for the mini mental assessment scale (MMSE), Montreal cognitive assessment scale (MoCA), positive and negative symptom scale, insight and treatment attitude scale, cognitive ability scale and social skills [personal and social function scale (PSP)]. The adverse reactions were observed. RESULTS After the intervention, the MMSE and MoCA scores improved in both groups. MoCA scores in the study group (26.58 ± 3.21) were significantly (P < 0.05) higher than those in the control group (24.68 ± 3.02), MMSE scores were not significantly higher. Post-intervention, positive and negative symptom scores improved in both groups, and the positive and negative symptom scores in the study group [(12.01 ± 2.58) and (32.51 ± 2.11)] were significantly (P < 0.05) different than those in the control group [(14.54 ± 2.33) and (33.74 ± 2.55)]. Post-intervention, insight and treatment attitudes questionnaire scores of both groups were improved and compared with the control group (7.97 ± 3.02), the study group (13.56 ± 6.35) had significantly (P < 0.05) higher scores. Post-intervention, the MATRICS consensus cognitive battery score of both groups was improved and compared with the control group (38.44 ± 6.23), the score of the study group was significantly (P < 0.05) increased (43.51 ± 6.01). Post-intervention, the PSP score of the study group (78.38 ± 6.63) was significantly (P < 0.05) higher than that of the control group (74.52 ± 7.01). During the intervention period, the incidence of adverse reactions in the study group was 6.25%, not significantly different from that in the control group (8.33%). During the intervention, both groups experienced adverse reactions, with no significant difference between groups (P > 0.05). CONCLUSION The comprehensive intervention model based on drug-psychology-society-skills has obvious intervention effects on patients with chronic schizophrenia, which improves their cognitive ability and reduces their positive and negative symptoms. Simultaneously, it improves the self-knowledge of patients, improves their attitude toward treatment, effectively promotes the recovery of patients' social functions, and is safe. Therefore, it is worthy of being vigorously promoted and widely used in clinics.
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Affiliation(s)
- Hai-Jun Wang
- The Fourth Ward, The Third People’s Hospital of Yongkang, Yongkang 321300, Zhejiang Province, China
| | - Wei Chen
- Department of Psychiatry, Zhejiang University School of Medicine, and the Collaborative Innovation Center for Brain Science, Zhejiang University Affiliated SIR Run Run Shaw Hospital, Hangzhou 311100, Zhejiang Province, China
| | - Xiao-Lin Yan
- Department of Laboratory Medicine, The Third People’s Hospital of Yongkang, Yongkang 321300, Zhejiang Province, China
| | - Qian-Ying Huang
- The Third Ward, The Third People’s Hospital of Yongkang, Yongkang 321300, Zhejiang Province, China
| | - Wei-Dong Xu
- The Fourth Ward, The Third People’s Hospital of Yongkang, Yongkang 321300, Zhejiang Province, China
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Zheng Y, Du J, Wang M, Zhou E, Zhou Q, Ji Y, Huang B, Guo X, Gao T, Hu W, Yin X, Wang X, Pu C, Yu X. Association Between Peptide Antigen-Related Antibody Levels and the Short- and Long-Term Efficacy of Antipsychotic Treatment in Drug-Naïve First-Episode Schizophrenia Patients. Schizophr Bull 2024:sbae199. [PMID: 39673496 DOI: 10.1093/schbul/sbae199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2024]
Abstract
OBJECTIVE This study investigated the relationships between baseline peptide antigen-related IgG levels and 8-week antipsychotic drug (APD) treatment response rates and one-year treatment outcomes, as well as the relationships between changes in peptide antigen-related IgG levels and one-year treatment outcomes, in first-episode schizophrenia (FES) patients. METHODS Sixteen peptide antigen-related IgGs from proteins encoded by schizophrenia-related genes were selected on the basis of several selection criteria from a 2022 genome-wide association study. Novel peptide antigen-related IgG levels were measured in drug-naïve FES patients at baseline (n = 155) and in plasma samples from 60 healthy controls (HCs). At the one-year follow-up, 57 patients completed both symptom and autoantibody assessments. Statistical analyses included t tests, Pearson correlation analysis, linear regression analysis, linear mixed-effects models, and simple slope analysis. RESULTS Anti-MOB4 IgG and anti-PDIA3 IgG levels were significantly lower in drug-naïve FES patients compared to HCs and showed a negative correlation with baseline excitement factor scores. Baseline anti-EMB IgG levels were associated with the 8-week treatment response, whereas anti-MAD1L1 IgG levels were correlated with one-year outcomes in drug-naïve FES patients. The one-year trajectory of changes in anti-FURIN IgG, anti-MAPK3 IgG, and anti-ACTR1B IgG levels was related to remission. CONCLUSION This study revealed that patients with schizophrenia had autoimmune abnormalities, with different peptide antigen-related IgG being associated with short-term or long-term treatment efficacy, and that these antibody levels were regulated by APDs.
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Affiliation(s)
- Yue Zheng
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Jian Du
- Department of Psychiatry, Nanjing Brain Hospital affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu, China
| | - Mingqia Wang
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Enpeng Zhou
- Department of Student Affairs, Zhejiang University of Science and Technology, Hangzhou 310063, Zhejiang, China
| | - Qi Zhou
- Department of Psychiatry, Nanjing Brain Hospital affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu, China
| | - Yunfei Ji
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Bingjie Huang
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Xiaodong Guo
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Tianqi Gao
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Wanheng Hu
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Xiaolin Yin
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Xianghe Wang
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Chengcheng Pu
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
| | - Xin Yu
- Clinical Research Department, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
- Clinical Research Department, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing 100191, China
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Qubad M, Dupont G, Hahn M, Martin SS, Puntmann V, Nagel E, Reif A, Bittner RA. When, Why and How to Re-challenge Clozapine in Schizophrenia Following Myocarditis. CNS Drugs 2024; 38:671-696. [PMID: 38951464 PMCID: PMC11316720 DOI: 10.1007/s40263-024-01100-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/03/2024] [Indexed: 07/03/2024]
Abstract
Clozapine-induced myocarditis (CIM) is among the most important adverse events limiting the use of clozapine as the most effective treatment for schizophrenia. CIM necessitates the immediate termination of clozapine, often resulting in its permanent discontinuation with considerable detrimental effects on patients' psychopathology and long-term outcome. Consequently, a clozapine re-challenge after CIM is increasingly regarded as a viable alternative, with published reports indicating a success rate of approximately 60%. However, published cases of re-challenges after CIM remain limited. Here, we provide a narrative review of the current state of research regarding the epidemiology, pathophysiology, risk factors, diagnosis and clinical management of CIM as well as a synthesis of current recommendations for re-challenging patients after CIM. This includes a step-by-step guide for this crucial procedure based on the current evidence regarding the pathophysiology and risk factors for CIM. Slow dose titration regimes and addressing risk factors including concomitant valproate and olanzapine are crucial both to prevent CIM and to ensure a safe and successful re-challenge. Furthermore, we discuss the utility of C-reactive protein, troponin, N-terminal-pro hormone and brain natriuretic peptide, therapeutic drug-monitoring and cardiac magnetic resonance imaging for CIM screening and diagnosis as well as for post-CIM re-challenges.
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Affiliation(s)
- Mishal Qubad
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
| | - Gabriele Dupont
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Martina Hahn
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
- Department of Mental Health, Varisano Hospital Frankfurt Hoechst, Frankfurt, Germany
| | - Simon S Martin
- Department of Radiology, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Valentina Puntmann
- Department of Cardiology, Institute for Experimental and Translational Cardiovascular Imaging, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Eike Nagel
- Department of Cardiology, Institute for Experimental and Translational Cardiovascular Imaging, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany
| | - Robert A Bittner
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, University Hospital, Frankfurt, Germany.
- Ernst Strüngmann Institute for Neuroscience (ESI) in Cooperation with Max Planck Society, Frankfurt, Germany.
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5
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Wagner E, Borgwardt S, Hasan A. [Management of treatment resistance-Treatment-resistant schizophrenia]. DER NERVENARZT 2024; 95:423-431. [PMID: 38319320 DOI: 10.1007/s00115-024-01608-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 02/07/2024]
Abstract
Despite a very high prevalence and substantial impairments among affected individuals, treatment-resistant schizophrenia (TRS) has not been sufficiently researched in clinical research in the field of psychiatric disorders and the pathophysiology is still poorly understood. A better clinical and pathophysiological understanding of this heterogeneous and severely affected population of people with persistent symptoms in different domains is necessary in order not only to be able to intervene early but also to develop novel therapeutic strategies or individualized treatment approaches. This review article presents the state of the art criteria of the pharmacological TRS, neurobiological disease models and predictive factors for TRS as well as the phenomenon of pseudo-treatment resistance and the clinical management of TRS. In the future, not only the use of operationalized criteria and definitions of TRS in longitudinal studies and randomized-controlled trials (RCTs) are paramount, but also the observation of trajectories with the integration of multimodal longitudinal phenotyping and the longitudinal collection of clinical routine data in academic research, which will be possible in the newly created German Center for Mental Health (DZPG).
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Affiliation(s)
- Elias Wagner
- Klinik für Psychiatrie, Psychotherapie und Psychosomatik, Medizinische Fakultät, Universität Augsburg, Augsburg, Deutschland.
- Evidenzbasierte Psychiatrie und Psychotherapie, Medizinische Fakultät, Universität Augsburg, Stenglinstraße 2, 86156, Augsburg, Deutschland.
| | - Stefan Borgwardt
- Klinik für Psychiatrie und Psychotherapie, Universitätsklinikum Schleswig-Holstein, Universität zu Lübeck, Lübeck, Deutschland
| | - Alkomiet Hasan
- Klinik für Psychiatrie, Psychotherapie und Psychosomatik, Medizinische Fakultät, Universität Augsburg, Augsburg, Deutschland
- Deutsches Zentrum für psychische Gesundheit, Augsburg, Deutschland
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