Meta-analyses with industry involvement are massively published and report no caveats for antidepressants
- PMID: 26399904
- DOI: 10.1016/j.jclinepi.2015.08.021
Meta-analyses with industry involvement are massively published and report no caveats for antidepressants
Abstract
Objectives: To identify the impact of industry involvement in the publication and interpretation of meta-analyses of antidepressant trials in depression.
Study design and setting: Using MEDLINE, we identified all meta-analyses evaluating antidepressants for depression published in January 2007-March 2014. We extracted data pertaining to author affiliations, conflicts of interest, and whether the conclusion of the abstract included negative statements on whether the antidepressant(s) were effective or safe.
Results: We identified 185 eligible meta-analyses. Fifty-four meta-analyses (29%) had authors who were employees of the assessed drug manufacturer, and 147 (79%) had some industry link (sponsorship or authors who were industry employees and/or had conflicts of interest). Only 58 meta-analyses (31%) had negative statements in the concluding statement of the abstract. Meta-analyses including an author who were employees of the manufacturer of the assessed drug were 22-fold less likely to have negative statements about the drug than other meta-analyses [1/54 (2%) vs. 57/131 (44%); P < 0.001].
Conclusion: There is a massive production of meta-analyses of antidepressants for depression authored by or linked to the industry, and they almost never report any caveats about antidepressants in their abstracts. Our findings add a note of caution for meta-analyses with ties to the manufacturers of the assessed products.
Keywords: Antidepressants; Competing interests; Conflicts of interest; Depression; Industry sponsor; Meta-analyses.
Copyright © 2016 Elsevier Inc. All rights reserved.
Comment in
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Beyond the corrupting influence of pharmaceutical companies on antidepressant meta-analyses (Letter commenting on: J Clin Epidemiol. 70, 2016, 155-163).J Clin Epidemiol. 2016 Oct;78:127-128. doi: 10.1016/j.jclinepi.2016.03.001. Epub 2016 Mar 14. J Clin Epidemiol. 2016. PMID: 26987506 No abstract available.
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