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Meta-Analysis
Copyright ©The Author(s) 2026.
World J Clin Oncol. Jan 24, 2026; 17(1): 112369
Published online Jan 24, 2026. doi: 10.5306/wjco.v17.i1.112369
Figure 1
Figure 1 Forest plots of the association between obesity and colorectal cancer risk stratified by sex. A: Pooled analysis for men shows a strong, statistically significant positive association (HR 1.71, 95%CI: 1.44-2.02) with no observed heterogeneity (I2 = 0.0%); B: Pooled analysis for women indicates a significant but attenuated positive association (HR 1.26, 95%CI: 1.03-1.52) with moderate heterogeneity (I2 = 50.5%).
Figure 2
Figure 2 Effect direction plot for studies not included in meta-analyses. Effect direction: ▲ = Positive health impact, ▼ = Negative health impact, ◄► = No change/mixed effects/conflicting findings. Sample size: Final sample size (individuals) in intervention group large arrow ▲ > 300; medium arrow ▲ 50-300; small arrow ▲ < 50. Study quality: Denoted by row colour: Green = Low risk of bias; amber = Some concerns; red = High risk of bias. CC: Case-control; PC: Prospective cohort; RC: Retrospective cohort.
Figure 3
Figure 3 Summary diagram of major molecular mechanisms linking obesity and obesity-linked behaviours with colorectal cancer.
Figure 4
Figure 4 Diagram showing biological mechanisms of obesity-induced inflammatory dysregulation and colorectal cancer development. TNF-α: Tumour necrosis factor alpha; IL: Interleukin.
Figure 5
Figure 5 Diagram showing biological mechanisms of proposed insulin and insulin-like growth factor 1 induced carcinogenesis. IGF-1: Insulin-like growth factor 1.