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Competing Interests: W. Honer has received consulting fees or sat on paid advisory boards for the Canadian Agency for Drugs and Technology in Health, AlphaSights, Guidepoint, In Silico, Translational Life Sciences, Otsuka, Lundbeck and Newron. S. Clark has recieved an investigator-initated grant, participated in an advisory and an educational board and recieved speakers fees from Lundbeck-Otsuka Australia and received an investigator-initiated grant from Janssen-Cilag Australia. He has received speakers fees from Servier Australia. C. Correll has been a consultant and/or advisor to or has received honoraria from Acadia, Alkermes, Allergan, Angelini, Axsome, Gedeon Richter, Gerson Lehrman Group, IntraCellular Therapies, Janssen/J&J, LB Pharma, Lundbeck, MedAvante-ProPhase, Medscape, Neurocrine, Noven, Otsuka, Pfizer, Recordati, Rovi, Sumitomo Dainippon, Sunovion, Supernus, Takeda and Teva. He has provided expert testimony for Janssen and Otsuka. He served on a data safety monitoring board for Lundbeck, Rovi, Supernus and Teva. He has received grant support from the Berlin Institute of health, Janssen, the National Institute of Mental Health, Patient Centered Outcomes Research Institute, Takeda and the Thrasher Foundation. He has received royalties from UpToDate and is a stock option holder of LB Pharma. A. Hasan has been on the advisory boards and has received speaker fees from Janssen, Lundbeck and Otsuka. O. Howes reports receiving speaker fees, participating on advisory boards, and/or receiving investigator-initiated funding from manufacturers of antipsychotics, including clozapine. J. Kane declares consulting fees/honoraria from Acadia, Alkermes, Allergan, Eli Lilly, Forum, Genentech, Dainippon Sumitomo, H. Lundbeck, Intracellular Therapies, Janssen Pharmaceutical, Jazz Pharma, Johnson & Johnson, LB Pharmaceuticals, Merck, Minerva, Neurocrine, Otsuka, Pierre Fabre, Reviva, Roche, Sunovion, Takeda and Teva, as well as grant support from Otsuka, Lundbeck and Janssen. He is also a shareholder in Vanguard Research Group and LB Pharmaceuticals, Inc. D. Kelly has served as a consultant for Lundbeck, HLS Therapeutics and Alkermes, and is a joint holder of a patent for analytical microdevices for mental health treatment monitoring (US9581536B2). J. MacCabe has received research grants from, and acted as an unpaid consultant to Lundbeck and Saladax Biomedical. D. Taylor has received research funding from Janssen and Sunovion and lecture payments form Janssen, Lundbeck, Otsuka and Recordati. O. Freudenreich has received a grant from Avanir for a clinical trial involving patients taking clozapine and royalties from UpToDate for the entry on clozapine. No other authors declared competing interests.

Objectives: To explore the impact upon estimation of drug effect as a result of applying exclusion criteria in randomized-controlled trials (RCT) measuring the efficacy of antipsychotics (AP) in schizophrenia., Methods: Three characteristics which may act as effect-modifiers of AP, while also common exclusion criteria in RCTs, were identified through literature review: schizophrenia duration, substance use disorder and poor adherence. The SOHO cohort was used to estimate the effect of initiating antipsychotic drugs "A", "B" or "C" (pooled) upon symptom evolution at 3months from baseline (CGI-S scale). "Estimated effectiveness" and "estimated efficacy" were drawn from the "SOHO" and "RCT-like" (patients with none of the above-listed exclusion criteria) samples, respectively. Effect-modification and impact of each exclusion criterion on AP effect estimates were explored using non-adjusted statistics., Results: The "SOHO sample" included 8250 patients initiating drug A, B or C at baseline, whose AP "estimated effectiveness" was ΔCGI-S=-0.78 (95% CI=-0.80, -0.76). The "RCT-like" sub-sample included 5348 (65%) patients whose AP "estimated efficacy" was ΔCGI-S=-0.73 (95% CI=-0.75, -0.70). Patients with short illness duration (≤3years since first AP; n=2436) experienced significant symptom improvement (ΔCGI-S=-0.89; 95%CI=-0.93, -0.85) compared to patients with duration >3years (mean ΔCGI-S=-0.73; 95%CI=-0.76, -0.71). Excluding patients with short illness duration led to a change in AP effect estimates but this was not the case for substance use disorder or poor adherence., Conclusion: Using certain exclusion criteria in RCTs may impact the drug's effect estimate, particularly when exclusion criteria are AP effect-modifiers representing frequent characteristics among patients with schizophrenia., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Objective: The primary aim of this study was to compare the impact of risperidone long-acting injectable (R-LAI) to other antipsychotics on rates of hospitalisation in real-life settings., Method: The Cohort for the General study of Schizophrenia (CGS) followed 1859 patients diagnosed with schizophrenia (DSM-IV) from 177 psychiatric wards of public and private hospitals across France over a mean period of 12months. These patients were ambulatory or had been hospitalised for less than 93days at study entry. Recruitment was stratified for long-acting second-generation antipsychotic use. A multivariate Poisson regression adjusted for confounding with propensity scores and allowing for autocorrelation was used for the calculation of relative rates of hospitalisation with 95% confidence intervals., Results: The mean age of participants was 37.65years, 68.3% were male and 36.7% were hospitalised for less than 93days at study entry. Altogether, participants accumulated 796 hospital stays (53.4 per 100 person-years). R-LAI patients were slightly younger and had been hospitalised more often in the past 12months compared to non-R-LAI users. The adjusted Poisson regression analysis showed R-LAI use to be associated with a lower rate of future hospitalisation: 0.66 [0.46-0.96] compared to non-R-LAI use, and 0.53 [0.32-0.88] compared to use of other LAIs., Conclusion: Use of R-LAI was associated with lower rates of hospitalisation compared to non-use of R-LAI., (Copyright © 2011. Published by Elsevier B.V.)

Objective: The putative role of neuroleptics in the known excess mortality of subjects with schizophrenia remains disputed. The aim of this study was to assess the link between mortality and the class of neuroleptic., Method: Causes of death (suicide, cardiovascular, etc.) and exposure to neuroleptics were studied in a cohort of 3474 patients with schizophrenia followed from 1993 to 1997., Results: From 1993 to 1997, 178 patients died. The risk of all-cause death (OR=1.59; 95% CI 1.02-2.50; p=0.04), and suicide (OR=2.22; 95% CI 1.24-3.97; p=0.006) were increased in users of thioxanthenes (alone or associated with other drugs), and increased risk of "other causes" of death was associated with use of atypical neuroleptics (OR=2.06; 95% CI 1.15-3.70; p=0.0016)., Conclusion: Our findings suggest the existence of association between certain classes of neuroleptics and death, all cause or specific. This could be related to the drug itself or to patient selection.

Purpose: A case study was conducted, exploring methods to identify drugs effects modifiers, at a health care center level. Patients and methods: Data were drawn from the Schizophrenia Outpatient Health Outcome cohort, including hierarchical information on 6641 patients, recruited from 899 health care centers from across ten European countries. Center-level characteristics included the following: psychiatrist's gender, age, length of practice experience, practice setting and type, countries' Healthcare System Efficiency score, and psychiatrist density in the country. Mixed multivariable linear regression models were used: 1) to estimate antipsychotic drugs' effectiveness (defined as the association between patients' outcome at 3 months - dependent variable, continuous - and antipsychotic drug initiation at baseline - drug A vs other antipsychotic drug); 2) to estimate the similarity between clustered data (using the intra-cluster correlation coefficient); and 3) to explore antipsychotic drug effects modification by center-related characteristics (using the addition of an interaction term). Results: About 23% of the variance found for patients' outcome was explained by unmeasured confounding at a center level. Psychiatrists' practice experience was found to be associated with patient outcomes (p=0.04) and modified the relative effect of "drug A" (p<0.001), independent of center- or patient-related characteristics. Conclusion: Mixed models may be useful to explore how center-related characteristics modify drugs' effect estimates, but require numerous assumptions. [ABSTRACT FROM AUTHOR]

Examines the link between a history of obstetric complications and family history of schizophrenia. Information on the data collected; Information on the experiments conducted; What the association between obstetric complications and early age at onset of schizophrenia indicates.