Large responses to antidepressants or methodological artifacts? A secondary analysis of STAR∗D, a single-arm, open-label, nonindustry antidepressant trial
This analysis failed to identify the trimodal distribution of response reported in Stone et al. In addition to being difficult to operationalize for regulatory purposes, results from mixture modeling are not sufficiently reliable to replace the more robust approach of comparing mean differences in depression rating scale scores between treatment arms.
Authors
- Martin Plöderl (ORCID: https://orcid.org/0000-0003-4659-9314)
- Thomas T. Kim (ORCID: https://orcid.org/0000-0003-2412-6647)
- Irving Kirsch (ORCID: https://orcid.org/0000-0002-1215-4061)
- Joanna Moncrieff (ORCID: https://orcid.org/0000-0003-1214-6974)
- Mark Horowitz (ORCID: https://orcid.org/0000-0003-1318-2029)
- Florian Naudet (ORCID: https://orcid.org/0000-0003-3760-3801)
- Michael P. Hengartner (ORCID: https://orcid.org/0000-0002-2956-2969)
- Ed Pigott
- Colin Xu (ORCID: https://orcid.org/0000-0002-2751-6942)
Institutions
- Harvard University (US)
- Inserm (FR)
- University of Idaho (US)
- Cornell University (US)
- Paracelsus Medical University (AT)
- North East London NHS Foundation Trust (GB)
- Kalaidos University of Applied Sciences (CH)
- Massachusetts Library Association (US)
- Christian Doppler Klinik (AT)
- Institut de Recherche en Santé, Environnement et Travail (FR)
- CIC Rennes (FR)
- University College London (GB)
- Université de Rennes (FR)
Publication Details
- Journal
- Journal of Clinical Epidemiology
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1016/j.jclinepi.2025.111943
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00