Literature DB >> 32609294

Association of End Point Definition and Randomized Clinical Trial Duration in Clinical Trials of Schizophrenia Medications.

Islam R Younis1, Mathangi Gopalakrishnan1,2, Mitchell Mathis3, Mehul Mehta1, Ramana Uppoor1, Hao Zhu1, Tiffany Farchione3.   

Abstract

Importance: Facilitating the development of safe and effective medications for schizophrenia is a public health imperative.
Objectives: To evaluate the association of shortening randomized clinical trial (RCT) duration with the modification of the Positive and Negative Syndrome Scale (PANSS) for the design of RCTs of medications for schizophrenia and to offer perspective on an alternative regulatory pathway to the historically accepted trial duration and response assessment. Data Sources: A database was created consisting of clinical trial data from 32 placebo-controlled RCTs of 8 atypical antipsychotic drugs approved by the US Food and Drug Administration (FDA) between January 1, 2001, and December 31, 2015. The database included information on total and individual PANSS item ratings, demographic characteristics, disposition, and adverse events (AEs). Study Selection: All clinical trials submitted to 8 new drug applications of atypical antipsychotic drugs were selected. Data Extraction and Synthesis: Quality control checks were performed to ensure that the collected data were consistent with the reported results of each trial. Data were collected from March 15, 2015, to September 30, 2015. Data analysis was conducted from October 1, 2015, to June 20, 2016. Main Outcomes and Measures: The following analyses were performed: (1) longitudinal assessment of mean change from baseline in total PANSS score, (2) correlation analyses between change from baseline in total PANSS score at week 6 and earlier time points, (3) concordance analyses of outcomes across trials between week 6 and earlier time points using total PANSS and modified PANSS, and (4) analyses of time course of treatment-emergent AEs.
Results: The final database contained data from 14 219 participants enrolled in 32 drug trials; 9805 of 14 219 participants (69.0%) were male and were either white (7183 [50.5%]) or black (4346 [30.6%]) individuals. The mean (SD) age during treatment was 38.9 (10.9) years, and the mean (SD) age at schizophrenia diagnosis was 25 (8.5) years. Statistically significant separation between treatment response and placebo response was observed after 1 week of treatment. The overall concordance rate across treatment groups steadily increased from week 1 to week 4 (68.0% for week 1, 74.0% for week 2, 83.0% for week 3, and 93.0% for week 4). Trends in AE occurrence were evident by week 1 and percentage of AEs were similar across weeks 3, 4, and 6. The overall concordance rate between change from baseline in the modified PANSS score and change from baseline in the total PANSS score was 93.0% (80 of 86 treatment groups) at week 4 and 97.7% (84 of 86 treatment groups) at week 6. Shortening the trial duration to 4 weeks increased the required sample size to 502 participants. Using the modified PANSS as the end point, the sample size for a 4-week trial was 402 participants and 296 participants for a 6-week trial. Conclusions and Relevance: Findings from this analysis suggest that there is the potential to streamline the design of schizophrenia drug clinical trials. Trial sponsors may consider incorporating these strategies and are encouraged to consult with the FDA early in the drug development process.

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Year:  2020        PMID: 32609294      PMCID: PMC7330825          DOI: 10.1001/jamapsychiatry.2020.1596

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  16 in total

1.  The scientific and ethical basis for placebo-controlled trials in depression and schizophrenia: an FDA perspective.

Authors:  T P Laughren
Journal:  Eur Psychiatry       Date:  2001-11       Impact factor: 5.361

2.  Delayed-onset hypothesis of antipsychotic action: a hypothesis tested and rejected.

Authors:  Ofer Agid; Shitij Kapur; Tamara Arenovich; Robert B Zipursky
Journal:  Arch Gen Psychiatry       Date:  2003-12

3.  Early onset of antipsychotic action in schizophrenia: evaluating the possibility of shorter acute efficacy trials.

Authors:  Bruce J Kinon; Lei Chen; Virginia L Stauffer; Jennifer Sniadecki; Haya Ascher-Svanum; Sara Kollack-Walker; Jayanthi Jacob; Shitij Kapur
Journal:  J Clin Psychopharmacol       Date:  2010-06       Impact factor: 3.153

4.  Optimizing early prediction for antipsychotic response in schizophrenia.

Authors:  Yue-Cune Chang; Hsien-Yuan Lane; Kung-Han Yang; Chieh-Liang Huang
Journal:  J Clin Psychopharmacol       Date:  2006-12       Impact factor: 3.153

5.  Predicting antipsychotic drug response - replication and extension to six weeks in an international olanzapine study.

Authors:  Stefan Leucht; Syed Ali Raza Shamsi; Raymonde Busch; Werner Kissling; John M Kane
Journal:  Schizophr Res       Date:  2008-03-04       Impact factor: 4.939

6.  The economic burden of schizophrenia in the United States in 2002.

Authors:  Eric Q Wu; Howard G Birnbaum; Lizheng Shi; Daniel E Ball; Ronald C Kessler; Matthew Moulis; Jyoti Aggarwal
Journal:  J Clin Psychiatry       Date:  2005-09       Impact factor: 4.384

7.  The Economic Burden of Schizophrenia in the United States in 2013.

Authors:  Martin Cloutier; Myrlene Sanon Aigbogun; Annie Guerin; Roy Nitulescu; Agnihotram V Ramanakumar; Siddhesh A Kamat; Michael DeLucia; Ruth Duffy; Susan N Legacy; Crystal Henderson; Clement Francois; Eric Wu
Journal:  J Clin Psychiatry       Date:  2016-06       Impact factor: 4.384

Review 8.  Schizophrenia.

Authors:  Kim T Mueser; Susan R McGurk
Journal:  Lancet       Date:  2004-06-19       Impact factor: 79.321

Review 9.  How effective are second-generation antipsychotic drugs? A meta-analysis of placebo-controlled trials.

Authors:  S Leucht; D Arbter; R R Engel; W Kissling; J M Davis
Journal:  Mol Psychiatry       Date:  2008-01-08       Impact factor: 15.992

10.  Item response analysis of the Positive and Negative Syndrome Scale.

Authors:  Darcy A Santor; Haya Ascher-Svanum; Jean-Pierre Lindenmayer; Robert L Obenchain
Journal:  BMC Psychiatry       Date:  2007-11-15       Impact factor: 3.630

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  1 in total

Review 1.  Review: Role of Model-Informed Drug Development Approaches in the Lifecycle of Drug Development and Regulatory Decision-Making.

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Journal:  Pharm Res       Date:  2022-05-12       Impact factor: 4.580

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