Metformin and health outcomes: an umbrella review of systematic reviews with meta‐analyses release_jhqjnjgn6vevznueji3lvfj6p4

by Xue Li, Stefano Celotto, Damiano Pizzol, Danijela Gasevic, Meng‐Meng Ji, Tommaso Barnini, Marco Solmi, Brendon Stubbs, Lee Smith, Guillermo Felipe López Sánchez, Gabriella Pesolillo, Zengli Yu (+5 others)

Published in European Journal of Clinical Investigation by Wiley.

e13536 (2021)

Abstract

The objective was to capture the breadth of outcomes that have been associated with metformin use and to systematically assess the quality, strength and credibility of these associations using the umbrella review methodology. Four major databases were searched until 31 May 2020. Meta-analyses of observational studies and meta-analyses of randomised controlled trials (RCTs) (including active and placebo control arms) were included. From 175 eligible publications, we identified 427 different meta-analyses, including 167 meta-analyses of observational studies, 147 meta-analyses of RCTs for metformin vs. placebo/no treatment and 113 meta-analyses of RCTs for metformin vs. active medications. There was no association classified as convincing or highly suggestive from meta-analyses of observational studies, but some suggestive/weak associations of metformin use with a lower mortality risk of CVD and cancer. In meta-analyses of RCTs, metformin was associated with a lower incidence of diabetes in people with pre-diabetes or no diabetes at baseline; lower ovarian hyperstimulation syndrome incidence (in women in controlled ovarian stimulation); higher success for clinical pregnancy rate in Poly-Cystic Ovary Syndrome (PCOS); significant reduction in body mass index in people with type 1 diabetes mellitus, in women who have obesity/overweight with PCOS and in obese/overweight women. Of 175 publications, 166 scored as low or critically low quality per AMSTAR 2 criteria. Observational evidence on metformin seems largely unreliable. Randomized evidence shows benefits for preventing diabetes and in some gynecological and obstetrical settings. However, almost all meta-analyses are of low or critically low quality according to AMSTAR 2 criteria.
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Type  article-journal
Stage   published
Date   2021-03-11
Language   en ?
DOI  10.1111/eci.13536
PubMed  33709434
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ISSN-L:  0014-2972
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