Literature DB >> 28712965

Trial exclusion criteria and their impact on the estimation of antipsychotic drugs effect: A case study using the SOHO database.

Clementine Nordon1, Thomas Bovagnet2, Mark Belger3, Javier Jimenez4, Robert Olivares5, Helene Chevrou-Severac6, Helene Verdoux7, Josep Maria Haro8, Lucien Abenhaim2, Helene Karcher2.   

Abstract

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.

Entities:  

Keywords:  Antipsychotic drug; Clinical trial; Effectiveness; Schizophrenia

Mesh:

Substances:

Year:  2017        PMID: 28712965     DOI: 10.1016/j.schres.2017.07.031

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  4 in total

1.  Safety of psychotropic medicines: contribution from observational evidence.

Authors:  H Verdoux
Journal:  Epidemiol Psychiatr Sci       Date:  2018-05-30       Impact factor: 6.892

2.  The "RCT augmentation": a novel simulation method to add patient heterogeneity into phase III trials.

Authors:  Helene Karcher; Shuai Fu; Jie Meng; Mikkel Zöllner Ankarfeldt; Orestis Efthimiou; Mark Belger; Josep Maria Haro; Lucien Abenhaim; Clementine Nordon
Journal:  BMC Med Res Methodol       Date:  2018-07-06       Impact factor: 4.615

3.  The use of random-effects models to identify health care center-related characteristics modifying the effect of antipsychotic drugs.

Authors:  Clementine Nordon; Constance Battin; Helene Verdoux; Josef Maria Haro; Mark Belger; Lucien Abenhaim; Tjeerd Pieter van Staa
Journal:  Clin Epidemiol       Date:  2017-12-14       Impact factor: 4.790

Review 4.  Antipsychotic Polypharmacy for the Management of Schizophrenia: Evidence and Recommendations.

Authors:  Markku Lähteenvuo; Jari Tiihonen
Journal:  Drugs       Date:  2021-07-01       Impact factor: 9.546

  4 in total

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