Meta-analyses with industry involvement are massively published and report no caveats for antidepressants.

J Clin Epidemiol

Stanford Prevention Research Center, Department of Medicine, Stanford University, 1265 Welch Road, 3rd Floor, Stanford, CA 94305, USA; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, 1265 Welch Road, Stanford, CA 94305, USA; Department of Health Research and Policy, Stanford University School of Medicine, Redwood Building T152, 150 Governor's Lane, Stanford, CA 94305, USA; Department of Statistics, Stanford University School of Humanities and Sciences, 390 Serra Mall, Stanford, CA 94305, USA. Electronic address:

Published: February 2016

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.

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http://dx.doi.org/10.1016/j.jclinepi.2015.08.021DOI Listing

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