2023
DOI: 10.3390/cancers15102778
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Gastric Cancer Risk in Association with Underweight, Overweight, and Obesity: A Systematic Review and Meta-Analysis

Narges Azizi,
Moein Zangiabadian,
Golnoosh Seifi
et al.

Abstract: This study aimed to investigate the risk of gastric cancer (GC) in abnormal body mass index (BMI) groups. A systematic search was carried out on Embase, PubMed/Medline, and Scopus from January 2000 to January 2023. The pooled risk ratio (RR) with a 95% confidence interval (CI) was assessed using a random-effect model. Thirteen studies with total of 14,020,031 participants were included in this systematic review. The pooled RR of GC was 1.124 (95% CI, 0.968–1.304, I2: 89.08%) in underweight class, 1.155 (95% CI… Show more

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Cited by 11 publications
(2 citation statements)
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“…Nonlinear dose-response meta-analyses have indicated that the risk of distal esophageal cancer significantly increases when BMI exceeds 26 kg/m 2 using a reference point of 21.7 kg/m 2 . In the meta-analysis, the association between obesity and gastric cancer was more pronounced in cardia gastric cancer compared to that in non-cardia gastric cancer [ 11 33 ].…”
Section: Risk Factors For Gastric Cancermentioning
confidence: 99%
“…Nonlinear dose-response meta-analyses have indicated that the risk of distal esophageal cancer significantly increases when BMI exceeds 26 kg/m 2 using a reference point of 21.7 kg/m 2 . In the meta-analysis, the association between obesity and gastric cancer was more pronounced in cardia gastric cancer compared to that in non-cardia gastric cancer [ 11 33 ].…”
Section: Risk Factors For Gastric Cancermentioning
confidence: 99%
“…In the past few years, systematic reviews addressing the BMI-gastric cancer link have yielded inconsistent results (16,17). A meta-analysis published in 2023 suggested a positive association between excess body weight and the risk of gastric cancer (18). However, it remains uncertain whether the observed association reflects a direct causal effect of BMI on gastric carcinogenesis, or stems from confounding or biases inherent in conventional epidemiological studies.…”
Section: Introductionmentioning
confidence: 99%