Cherry-picking by trialists and meta-analysts can drive conclusions about intervention efficacy

13Citations
Citations of this article
48Readers
Mendeley users who have this article in their library.

Abstract

Objectives The objective of this study was to determine whether disagreements among multiple data sources affect systematic reviews of randomized clinical trials (RCTs). Study Design and Setting Eligible RCTs examined gabapentin for neuropathic pain and quetiapine for bipolar depression, reported in public (e.g., journal articles) and nonpublic sources (clinical study reports [CSRs] and individual participant data [IPD]). Results We found 21 gabapentin RCTs (74 reports, 6 IPD) and 7 quetiapine RCTs (50 reports, 1 IPD); most were reported in journal articles (18/21 [86%] and 6/7 [86%], respectively). When available, CSRs contained the most trial design and risk of bias information. CSRs and IPD contained the most results. For the outcome domains “pain intensity” (gabapentin) and “depression” (quetiapine), we found single trials with 68 and 98 different meta-analyzable results, respectively; by purposefully selecting one meta-analyzable result for each RCT, we could change the overall result for pain intensity from effective (standardized mean difference [SMD] = −0.45; 95% confidence interval [CI]: −0.63 to −0.27) to ineffective (SMD = −0.06; 95% CI: −0.24 to 0.12). We could change the effect for depression from a medium effect (SMD = −0.55; 95% CI: −0.85 to −0.25) to a small effect (SMD = −0.26; 95% CI: −0.41 to −0.1). Conclusions Disagreements across data sources affect the effect size, statistical significance, and interpretation of trials and meta-analyses.

Cite

CITATION STYLE

APA

Mayo-Wilson, E., Li, T., Fusco, N., Bertizzolo, L., Canner, J. K., Cowley, T., … Dickersin, K. (2017). Cherry-picking by trialists and meta-analysts can drive conclusions about intervention efficacy. Journal of Clinical Epidemiology, 91, 95–110. https://doi.org/10.1016/j.jclinepi.2017.07.014

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free