Evidence map›Paper›PMID 41915612›Full record

ArticleDigestive diseases (Basel, Switzerland)2026

Predictive Ability of Chinese Visceral Adipose Index for Gastric Intestinal Metaplasia in Korean Adults.

Sung Keun Park, Yeongu Chung, Chang-Mo Oh, Ju Young Jung

Abstract read
In one paragraph

Article in Digestive diseases (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sung Keun ParkCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yeongu ChungDepartment of Neurosurgery, Kangbuk Samsung Hospital, SungKyunkwan University School of Medicine, Seoul, Republic of Korea.
Chang-Mo OhDepartments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ju Young JungTotal Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, Seoul, Republic of Korea, jjy0501@naver.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Introduction: Gastric intestinal metaplasia (GIM) is a precancerous lesion of gastric cancer. Despite increasing interest for association between obesity and gastric cancer, there is still ongoing controversy for effect of obesity on gastric cancer. Therefore, it is important to discover obesity index with reliable predictability for GIM.

methodsStudy participants were 85,986 Koreans who were free of GIM at endoscopy. They were categorized by quartile levels of body mass index (BMI), waist circumference (WC), and Chinese visceral adipose index (CVAI). Cox proportional hazard assumption was used to evaluate hazard ratio (HR) and 95% confidence interval (CI) for incident GIM (adjusted HR [95% CI]) according to quartile levels of BMI, WC, and CVAI for about 8 years of follow-up. Using the time ROC package, ROC and area under curve (AUC) were calculated for each quartile group of BMI, WC, and CVAI at 2, 4, 6, and 8 years.

resultsIn men, BMI ≥ quartile 3, WC ≥ quartile 2, and CVAI ≥ quartile 2 were more significantly associated with incident GIM, compared with quartile 1 groups (reference). In women, while BMI and WC did not show the significant association with GIM, CVAI was solely associated with the increased risk of GIM. Time-dependent ROC and AUC analyses indicated that CVAI was superior to BMI and WC in predicting GIM among both men and women. The predictive ability of CVAI was more prominent in women than men.

conclusionCVAI was an effective predictor for GIM, surpassing the predictive ability of BMI and WC. </p>.

Indexed as

Intra-Abdominal FatObesityStomachStomach NeoplasmsAdultBody Mass IndexEast Asian PeopleFemaleHumansMaleMetaplasiaMiddle AgedRepublic of KoreaRisk FactorsWaist CircumferenceEndoscopyIntestinal metaplasiaObesity

Identifiers

PMID41915612
PMCPMC13268613

What Socratic 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 Socratic graph.