Exposure to proton pump inhibitors and risk of diabetes: A systematic review and meta-analysis
Yun-Ran Guo, Xinming Liu, Guixia Wang
Abstract
Yun-Ran Guo, Xinming Liu, Guixia Wang
Abstract
BACKGROUND: Exposure to proton pump inhibitors (PPIs) has been reported to have a potential role in the development of diabetes. AIM: To determine the association between PPIs and diabetes. METHODS: This meta-analysis is registered on PROSPERO (CRD42022352704). In August 2022, eligible studies were identified through a comprehensive literature search. In this study, odds ratios were combined with 95% confidence intervals using a random-effects model. The source of heterogeneity was assessed using sensitivity analysis and subgroup analysis. The publication bias was evaluated using Egger's test and Begg's test. RESULTS: > 0.05). Sensitivity analysis also confirmed the stability of the results. CONCLUSION: The results of this study indicated that the use of PPIs was related to an increased risk of diabetes. However, more well-designed studies are needed to verify these results in the future.
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BACKGROUND: Exposure to proton pump inhibitors (PPIs) has been reported to have a potential role in the development of diabetes. AIM: To determine the association between PPIs and diabetes. METHODS: This meta-analysis is registered on PROSPERO (CRD42022352704). In August 2022, eligible studies were identified through a comprehensive literature search. In this study, odds ratios were combined with 95% confidence intervals using a random-effects model. The source of heterogeneity was assessed using sensitivity analysis and subgroup analysis. The publication bias was evaluated using Egger's test and Begg's test. RESULTS: > 0.05). Sensitivity analysis also confirmed the stability of the results. CONCLUSION: The results of this study indicated that the use of PPIs was related to an increased risk of diabetes. However, more well-designed studies are needed to verify these results in the future.
Key concepts: Meta-analysis, Publication bias, Medicine, Confidence interval, Odds ratio, Subgroup analysis, Diabetes mellitus, Internal medicine