Beyond the Plate: Unveiling the Association Between Meat Consumption and Colorectal Cancer Risk.
[BACKGROUND AND AIM] The consumption of meat, particularly processed and red meat, is believed to increase the risk of colorectal cancer (CRC).
- 95% CI 1.02-1.20
- OR 1.11
- 연구 설계 meta-analysis
APA
Wu S, Shan S, et al. (2026). Beyond the Plate: Unveiling the Association Between Meat Consumption and Colorectal Cancer Risk.. Journal of gastroenterology and hepatology, 41(2), 429-442. https://doi.org/10.1111/jgh.70210
MLA
Wu S, et al.. "Beyond the Plate: Unveiling the Association Between Meat Consumption and Colorectal Cancer Risk.." Journal of gastroenterology and hepatology, vol. 41, no. 2, 2026, pp. 429-442.
PMID
41461573
Abstract
[BACKGROUND AND AIM] The consumption of meat, particularly processed and red meat, is believed to increase the risk of colorectal cancer (CRC). This study aims to conduct a meta-analysis to clarify the association between the consumption of red meat, processed meat, and white meat with the risk of CRC, thereby providing a scientific foundation for CRC prevention.
[METHODS] As of March 2024, we comprehensively searched the Cochrane Library, PubMed, and EMBASE databases for relevant studies. A random-effects model was utilized to calculate the relative risk (RR) and 95% confidence interval (CI), while the I statistic was used to evaluate the heterogeneity among the studies. Funnel plots and Egger's test were used to assess publication bias, and stratified analyses were conducted based on tumor site, gender, geographic region, and the MD scoring system.
[RESULTS] This study includes a total of 31 studies, comprising 12 cohort studies and 19 case-control studies. In cohort studies, the associations observed were as follows: red meat: OR = 1.11 (95% CI: 1.02-1.20), processed meat: OR = 1.17 (95% CI: 1.09-1.25), and white meat: OR = 0.95 (95% CI: 0.72-1.19). In case-control studies, the associations were as follows: red meat: OR = 1.12 (95% CI: 1.03-1.20), processed meat: OR = 1.12 (95% CI: 1.00-1.23), and white meat: OR = 0.95 (95% CI: 0.85-1.24).
[CONCLUSION] The consumption of red and processed meat demonstrated a statistically significant positive correlation with an elevated risk of CRC; however, the consumption of white meat did not exhibit such an association.
[METHODS] As of March 2024, we comprehensively searched the Cochrane Library, PubMed, and EMBASE databases for relevant studies. A random-effects model was utilized to calculate the relative risk (RR) and 95% confidence interval (CI), while the I statistic was used to evaluate the heterogeneity among the studies. Funnel plots and Egger's test were used to assess publication bias, and stratified analyses were conducted based on tumor site, gender, geographic region, and the MD scoring system.
[RESULTS] This study includes a total of 31 studies, comprising 12 cohort studies and 19 case-control studies. In cohort studies, the associations observed were as follows: red meat: OR = 1.11 (95% CI: 1.02-1.20), processed meat: OR = 1.17 (95% CI: 1.09-1.25), and white meat: OR = 0.95 (95% CI: 0.72-1.19). In case-control studies, the associations were as follows: red meat: OR = 1.12 (95% CI: 1.03-1.20), processed meat: OR = 1.12 (95% CI: 1.00-1.23), and white meat: OR = 0.95 (95% CI: 0.85-1.24).
[CONCLUSION] The consumption of red and processed meat demonstrated a statistically significant positive correlation with an elevated risk of CRC; however, the consumption of white meat did not exhibit such an association.
MeSH Terms
Colorectal Neoplasms; Humans; Red Meat; Meat; Risk Factors; Meat Products; Male; Female; Case-Control Studies
같은 제1저자의 인용 많은 논문 (5)
- Liposuction: Concepts, safety, and techniques in body-contouring surgery.
- Modifications of Z-Epicanthoplasty Combined with Double-Eyelid Blepharoplasty in Asians.
- Multi-omics analysis and experiments validate the tumor-suppressive role of mitochondrial lipid metabolism gene ACSM5 in lung adenocarcinoma and its impact on the immune microenvironment.
- Megakaryocytic Emperipolesis in Acute Myeloid Leukemia with Trisomy 8.
- Machine learning-driven identification of shared and disease-specific mitochondria-related genes in COPD, NSCLC, and NSCLC with COPD.