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The cumulative effect of reporting and citation biases on the apparent efficacy of treatments: The case of depression

  • Y. A. De Vries
  • , A. M. Roest
  • , P. De Jonge
  • , P. Cuijpers
  • , M. R. Munafò
  • , J. A. Bastiaansen
  • Rijksuniversiteit Groningen
  • Vrije Universiteit Amsterdam
  • University of Bristol
  • Department of Education and Research
  • Friesland Mental Health Care Services

Research output: Contribution to journalArticlepeer-review

78   Link opens in a new tab Citations (SciVal)

Abstract

Evidence-based medicine is the cornerstone of clinical practice, but it is dependent on the quality of evidence upon which it is based. Unfortunately, up to half of all randomized controlled trials (RCTs) have never been published, and trials with statistically significant findings are more likely to be published than those without (Dwan et al., 2013). Importantly, negative trials face additional hurdles beyond study publication bias that can result in the disappearance of non-significant results (Boutron et al., 2010; Dwan et al., 2013; Duyx et al., 2017). Here, we analyze the cumulative impact of biases on apparent efficacy, and discuss possible remedies, using the evidence base for two effective treatments for depression: Antidepressants and psychotherapy.

Original languageEnglish
Pages (from-to)2453-2455
Number of pages3
JournalPsychological Medicine
Volume48
Issue number15
DOIs
Publication statusPublished - 1 Nov 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Antidepressants
  • bias
  • citation bias
  • depression
  • psychotherapy
  • reporting bias

ASJC Scopus subject areas

  • Applied Psychology
  • Psychiatry and Mental health

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