Evidence map›Paper›PMID 41132181›Full record

SynthesisFrontiers in public health2025

Modifiable lifestyle and metabolic risk factors for colorectal polyps: a systematic review and meta-analysis.

Yue Lei, Zihong Cai, Mengli Zheng, Yunfan Deng, Shirui Li, Xiuyang Li, Sheng Dai

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yue LeiDepartment of Big Data in Health Science, and Center for Clinical Big Data and Statistics, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Zihong CaiDepartment of Big Data in Health Science, and Center for Clinical Big Data and Statistics, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Mengli ZhengDepartment of Big Data in Health Science, and Center for Clinical Big Data and Statistics, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Yunfan DengDepartment of Big Data in Health Science, and Center for Clinical Big Data and Statistics, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Shirui LiDepartment of Big Data in Health Science, and Center for Clinical Big Data and Statistics, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Xiuyang LiDepartment of Big Data in Health Science, and Center for Clinical Big Data and Statistics, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Sheng DaiDepartment of General Surgery, Affiliated Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate associations between unhealthy lifestyles, metabolic diseases, and colorectal polyps, with emphasis on subtype-specific effects. Methods: We systematically searched PubMed, Embase, Cochrane Library, and SinoMed (up to July 2024) for studies reporting odds ratios (ORs) of colorectal polyps associated with lifestyle or metabolic factors. Heterogeneity was quantified using I (2) statistics, with random-effects models applied as the primary analytical approach. Subgroup analyses were conducted to investigate potential effect modifiers, and meta-regression was performed to explore continuous sources of heterogeneity, while sensitivity analyses and funnel plots evaluated robustness and bias. Results: Alcohol (OR = 1.63, 95%CI:1.48-1.78), high-fat diet (OR = 1.45, 95%CI:1.33-1.57), and smoking (OR = 1.79, 95%CI:1.69-1.90) significantly increased polyp risk across subtypes. Smoking showed subtype- and region-specific effects, with the highest risk for sessile serrated lesions (SSLs; (OR = 3.06, 95%CI:2.41-3.90)) and in the US, South Korea, and Israel. Type 2 diabetes had the strongest metabolic association (OR = 2.17,95%CI:1.82- 2.60), followed by hyperlipidemia (OR = 1.50, 95%CI:1.32-1.70) and hypertension (OR = 1.33, 95%CI:1.10-1.61). Heterogeneity stemmed from pathological classification and geographic variation, with no significant publication bias. Conclusion: Unhealthy lifestyles (alcohol, high-fat diet, smoking) and metabolic diseases (type 2 diabetes, hyperlipidemia, hypertension) independently increase colorectal polyp risk, with smoking demonstrating pronounced subtype and regional variability. These findings can inform the development of risk-stratified screening protocols and targeted public health interventions.

Indexed as

Colonic PolypsLife StyleMetabolic DiseasesAlcohol DrinkingDiet, High-FatHumansRisk FactorsSmokingcolorectal polypslifestylemeta-analysispathological typesrisk factors

Identifiers

PMID41132181
PMCPMC12542907

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.