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Meta-Analysis
. 2018 Nov 2;1(7):e183788.
doi: 10.1001/jamanetworkopen.2018.3788.

Association Between Obesity and Cardiovascular Outcomes: A Systematic Review and Meta-analysis of Mendelian Randomization Studies

Haris Riaz  1 , Muhammad Shahzeb Khan  2 , Tariq Jamal Siddiqi  3 , Muhammad Shariq Usman  3 , Nishant Shah  1 , Amit Goyal  1 , Sadiya S Khan  4   5 , Farouk Mookadam  6 , Richard A Krasuski  7 , Haitham Ahmed  1
Affiliations
Meta-Analysis

Association Between Obesity and Cardiovascular Outcomes: A Systematic Review and Meta-analysis of Mendelian Randomization Studies

Haris Riaz et al. JAMA Netw Open. .

Abstract

Importance: Although dyslipidemia has been consistently shown to be associated with atherogenesis, an association between obesity and cardiovascular disease outcomes remains controversial. Mendelian randomization can minimize confounding if variables are randomly and equally distributed in the population of interest.

Objective: To assess evidence from mendelian randomization studies to provide a less biased estimate of any association between obesity and cardiovascular outcomes.

Data sources: Systematic searches of MEDLINE and Scopus from database inception until January 2018, supplemented with manual searches of the included reference lists.

Study selection: Studies that used mendelian randomization methods to assess the association between any measure of obesity and the incidence of cardiovascular events and those that reported odds ratios (ORs) with 95% CIs estimated using an instrumental variable method were included. The 5 studies included in the final analysis were based on a consensus among 3 authors.

Data extraction and synthesis: Two investigators independently extracted study characteristics using a standard form and pooled data using a random-effects model. The Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline was followed.

Main outcomes and measures: Obesity associated with type 2 diabetes, coronary artery disease, or stroke. The hypothesis was formulated prior to data collection.

Results: Of 4660 potentially relevant articles, 2511 titles were screened. Seven studies were included in the systematic review, and 5 studies with 881 692 participants were eligible to be included in the meta-analysis. Pooled estimates revealed that obesity was significantly associated with an increased risk of type 2 diabetes (OR, 1.67; 95% CI, 1.30-2.14; P < .001; I2 = 93%) and coronary artery disease (OR, 1.20; 95% CI, 1.02-1.41; P = .03; I2 = 87%). No association between obesity and stroke was found (OR, 1.02; 95% CI, 0.95-1.09; P = .65; I2 = 0%).

Conclusions and relevance: The present meta-analysis suggests that obesity is associated with type 2 diabetes and coronary artery disease. Although this analysis of mendelian randomization studies does not prove causality, it is supportive of a causal association. Hence, health care practitioners should continue to emphasize weight reduction to combat coronary artery disease.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr S. S. Khan reported receiving grants from the National Institutes of Health, and Dr Ahmed reported receiving grants from Akcea Therapeutics, both outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Flowchart Summarizing Results of the Literature Search
WHRadjBMI indicates waist to hip ratio adjusted for body mass index calculated as weight in kilograms divided by height in meters squared.
Figure 2.
Figure 2.. Meta-analysis Results
Obesity has a statistically significant association with type 2 diabetes and with coronary artery disease but not with stroke. The size of the data markers indicates the weight of the odds ratio (OR), using random-effects analysis with instrumental variables.
See this image and copyright information in PMC

Comment in

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