<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>14(4)</volume><submitter>Wu L</submitter><pubmed_abstract>&lt;h4>Objective&lt;/h4>Few studies have assessed the association between leptin receptor (LEPR) gene polymorphism and the risk of cardiovascular disease (CVD). Of the few epidemiological studies on this topic, the results are still controversial.&lt;h4>Methods&lt;/h4>PubMed and Embase were screened for studies from their inception to 9 October 2016. The pooled odds ratio (OR) with the corresponding confidence intervals (CI) were used to measure the effect size for studies that reported the association under allelic, homozygous, and dominant models. Pre-specified characteristics were conducted in the subgroup analysis. Heterogeneity between subgroups was evaluated by meta-regression analysis.&lt;h4>Results&lt;/h4>Seven eligible studies involving 44,133 participants were included in our meta-analysis. Border</pubmed_abstract><journal>International journal of environmental research and public health</journal><pagination>E375</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5409576</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Leptin Receptor Gene Polymorphism and the Risk of Cardiovascular Disease: A Systemic Review and Meta-Analysis.</pubmed_title><pmcid>PMC5409576</pmcid><pubmed_authors>Wu L</pubmed_authors><pubmed_authors>Sun D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Leptin Receptor Gene Polymorphism and the Risk of Cardiovascular Disease: A Systemic Review and Meta-Analysis.</name><description>&lt;h4>Objective&lt;/h4>Few studies have assessed the association between leptin receptor (LEPR) gene polymorphism and the risk of cardiovascular disease (CVD). Of the few epidemiological studies on this topic, the results are still controversial.&lt;h4>Methods&lt;/h4>PubMed and Embase were screened for studies from their inception to 9 October 2016. The pooled odds ratio (OR) with the corresponding confidence intervals (CI) were used to measure the effect size for studies that reported the association under allelic, homozygous, and dominant models. Pre-specified characteristics were conducted in the subgroup analysis. Heterogeneity between subgroups was evaluated by meta-regression analysis.&lt;h4>Results&lt;/h4>Seven eligible studies involving 44,133 participants were included in our meta-analysis. Border</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Apr</publication><modification>2026-05-30T01:44:18.069Z</modification><creation>2026-04-08T06:30:49.112Z</creation></dates><accession>S-EPMC5409576</accession><cross_references><pubmed>28368354</pubmed><doi>10.3390/ijerph14040375</doi></cross_references></HashMap>