Evidence map›Paper›PMID 40211175›Full record

ArticleBMC gastroenterology2025

The best anthropometric indices to predict colon cancer.

Kaihao Wang, Anlei Wang, Shaozu Wang, Zhijiang Luo, Yazhao Gong, Xiaoliang Hao, Guanglei Yang, Shuqing Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Journal of gastrointestinal oncology · 2026
    Article
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

8 authors.

Kaihao WangDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China.
Anlei WangDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China.
Shaozu WangDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China.
Zhijiang LuoDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China.
Yazhao GongDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China.
Xiaoliang HaoDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China.
Guanglei YangDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China. yglhyf@163.com.
Shuqing XuDepartment of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China. xsq1965915@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon cancer is one of the most prevalent malignancies globally. Anthropometric data are widely accessible. However, numerous anthropometric indicators exist, and no study has identified the most reliable predictor for colon cancer. This study aims to identify the most effective anthropometric indicators for predicting colon cancer.

resultsSignificant differences were observed in age, race, smoking, diabetes, hypertension, waist circumference, a body shape index (ABSI), Body Roundness Index (BRI), Conicity Index (ConI), Waist-to-Height Ratio(WHtR), and Weight-adjusted Waist Index(WWI) between colon cancer patients and controls (P < 0.05). ABSI (AUC: 0.68, 95% CI: 0.64-0.71), ConI (AUC: 0.68, 95% CI: 0.64-0.71), and WWI (AUC: 0.67, 95% CI: 0.63-0.70) were the most accurate anthropometric indices for predicting colon cancer. ABSI, ConI, and WWI demonstrated a strong correlation.

conclusionAnalysis of NHANES data (2005-2018) identified ABSI, ConI, and WWI (AUC:0.67-0.68) as optimal anthropometric predictors of colon cancer, emphasizing abdominal obesity's clinical relevance. These cost-effective indices could enhance early screening in resource-limited settings.

Indexed as

AnthropometryColonic NeoplasmsAdultAgedBody Mass IndexCase-Control StudiesFemaleHumansMaleMiddle AgedNutrition SurveysObesity, AbdominalPredictive Value of TestsRisk FactorsWaist CircumferenceWaist-Height RatioA body shape indexAnthropometric indicesColon cancerConicity indexWeight-adjusted waist index

Identifiers

PMID40211175
PMCPMC11987457

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.