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Major Adverse Cardiovascular Events Among Obese Patients with Diabetes After Metabolic and Bariatric Surgery: a Meta-analysis of Matched Cohort and Prospective Controlled Studies with 122,361 Participates
Purpose Metabolic and bariatric surgery (MBS) can exert effective function on glycemic control. The present study aimed to estimate the risk of MACE among obese patients with diabetes after MBS. Materials and Methods Systematic search of PubMed, Embase, Medline, and Web of Science was performed for...
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Published in: | Obesity surgery 2023-07, Vol.33 (7), p.2098-2107 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Purpose
Metabolic and bariatric surgery (MBS) can exert effective function on glycemic control. The present study aimed to estimate the risk of MACE among obese patients with diabetes after MBS.
Materials and Methods
Systematic search of PubMed, Embase, Medline, and Web of Science was performed for studies published before 20th February 2023. The odds ratio (OR) corresponding to the 95% confidence interval (95% CI) was used to assess the outcome. The statistical heterogeneity among studies was assessed with the
Q
-test and
I
2
statistics.
Results
Fifteen cohort studies with 122,361 obese patients with diabetes were available for analysis. Our meta-analysis found significantly decreased morbidity and mortality of MACE (OR = 0.65, 95% CI = 0.59–0.72,
I
2
= 62.8% for morbidity, OR = 0.49, 95% CI = 0.36–0.67,
I
2
= 68.7% for mortality). Subgroup analysis revealed MBS decreased cerebrovascular disease, coronary artery disease, atrial fibrillation, heart failure, myocardial infarction, and stroke risk.
Conclusion
Our meta-analysis indicated that MBS for obese patients with diabetes is beneficial to decreasing MACE risk. Moreover, further studies estimating the functional effect may eventually provide a better and comprehensive understanding of the effect on different populations.
Graphical Abstract |
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ISSN: | 0960-8923 1708-0428 1708-0428 |
DOI: | 10.1007/s11695-023-06634-y |