幽门螺杆菌感染与妊娠期糖尿病发生的关系：系统评价和荟萃分析。

The association between the Helicobacter pylori infection and the occurrence of gestational diabetes: a systematic review and meta-analysis.

机构信息

Student Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran.

Research Center of Pediatric Infection Diseases, Institute of Immunology and Infection Diseases, Iran University of Medical Sciences, Tehran, Iran.

出版信息

J Health Popul Nutr. 2024 Aug 31;43(1):136. doi: 10.1186/s41043-024-00630-3.

DOI:10.1186/s41043-024-00630-3

PMID:39217374

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11366142/

Abstract

BACKGROUND

This meta-analysis aims to establish a more precise association between gestational diabetes mellitus (GDM) incidence and H. pylori infection by amalgamating findings from prior case-control and cohort studies.

METHODS

To identify relevant studies, we conducted a comprehensive search using the Excerpta Medica Database (Embase), PubMed (Medline), Web of Science (ISI), and Scopus from January 1990 to November 2022. The screening process involved reviewing the entire text, abstracts, and titles of retrieved articles. Subsequently, data extraction was performed from the selected articles, and their quality was assessed using the Newcastle-Ottawa Scale checklist. Version 17 of STATA software was utilized for the analysis, with relative risks (RR) calculated along with their 95% confidence intervals (CI) to quantify the impact of the included studies.

RESULTS

This meta-analysis included eight observational and analytical studies. The combined risk of gestational diabetes mellitus (GDM) in pregnant women with H. pylori infection was found to be 1.97 times higher compared to pregnant women without infection (RR: 1.97; 95% CI 1.57-2.47; I = 0.00%; P = 0.84).

CONCLUSION

Pregnant women with H. pylori infection are at an increased risk of developing gestational diabetes.

摘要

背景

本荟萃分析旨在通过合并病例对照和队列研究的结果，更精确地建立妊娠期糖尿病（GDM）发病与 H. pylori 感染之间的关联。

方法

为了确定相关研究，我们使用 Excerpta Medica Database（Embase）、PubMed（Medline）、Web of Science（ISI）和 Scopus 从 1990 年 1 月到 2022 年 11 月进行了全面检索。筛选过程包括审查检索到的文章的全文、摘要和标题。然后，从选定的文章中提取数据，并使用 Newcastle-Ottawa Scale 清单评估其质量。使用 STATA 软件版本 17 进行分析，计算相对风险（RR）及其 95%置信区间（CI），以量化纳入研究的影响。