Title

The role of meta-analyses and umbrella reviews in assessing the harms of psychotropic medications: beyond qualitative synthesis

Publication Date

2018

Journal Title

Epidemiol Psychiatr Sci

Abstract

Copyright © Cambridge University Press 2018 ὠφελέειν, ἢ μὴ βλάπτειν (Primum non nocere) – Hιppocrates’ principle should still guide daily medical prescribing. Therefore, assessing evidence of psychopharmacologic agents’ safety and harms is essential. Randomised controlled trials (RCTs) and observational studies may provide complementary information about harms of psychopharmacologic medications from both experimental and real-world settings. It is considered that RCTs provide a better control of confounding variables, while observational studies provide evidence from larger samples, longer follow-ups, in more representative samples, which may be more reflective of real-life clinical scenarios. However, this may not always hold true. Moreover, in observational studies, safety data are poorly or inconsistently reported, precluding reliable quantitative synthesis in meta-analyses. Beyond individual studies, meta-analyses, which represent the highest level of ‘evidence’, can be misleading, redundant and of low methodological quality. Overlapping meta-analyses sometimes even reach different conclusions on the same topic. Meta-analyses should be assessed systematically. Descriptive reviews of reviews can be poorly informative. Conversely, ‘umbrella reviews’ can use a quantitative approach to grade evidence. In this editorial, we present the main factors involved in the assessment of psychopharmacologic agents’ harms from individual studies, meta-analyses and umbrella reviews. Study design features, sample size, number of the events of interest, summary effect sizes, p-values, heterogeneity, 95% prediction intervals, confounding factor adjustment and tests of bias (e.g., small-study effects and excess significance) can be combined with other assessment tools, such as AMSTAR and GRADE to create a framework for assessing the credibility of evidence.

Volume Number

27

Issue Number

6

Pages

537-542

Document Type

Article

Status

Faculty

Facility

School of Medicine

Primary Department

Psychiatry

Additional Departments

Molecular Medicine

PMID

30008278

DOI

10.1017/S204579601800032X

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