Evidence map›Paper›PMID 40801979›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2025

Prognostic significance of anthropometric measurements in gastric cancer: a multicenter cohort study.

Hailun Xie, Lishuang Wei, Shuyao Wang, Hanping Shi, Junqiang Chen

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hailun Xie *Department of Gastrointestinal and Gland Surgery, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China.
Lishuang Wei *Department of Gastrointestinal and Gland Surgery, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China.
Shuyao WangDepartment of Gastrointestinal and Gland Surgery, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China.
Hanping ShiDepartment of Gastrointestinal and Gland Surgery, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China. shihp@ccmu.edu.cn.
Junqiang ChenDepartment of Gastrointestinal and Gland Surgery, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China. chenjunqiang@gxmu.edu.cn.

Funding

Young Elite Scientists Sponsorship Program by CAST 2022QNRC001
6 · The paper itself

Abstract

purposeAnthropometric measurements are practical tools for nutritional assessment, yet their prognostic value in gastric cancer remains understudied. This multicenter cohort study aimed to evaluate the association of multidimensional anthropometric parameters with overall survival (OS), metastasis, malnutrition, and cachexia in gastric cancer patients.

methodsThis multicenter cohort study enrolled 2,343 patients with gastric cancer. Baseline anthropometric measurements, including body mass index (BMI), mid-arm circumference (MAC), triceps skinfold thickness (TSF), mid-arm muscle circumference (MAMC), mid-arm muscle area (MAMA), calf circumference (CC), and handgrip strength (HGS), were collected. Survival outcomes were evaluated using Kaplan-Meier analysis and Cox regression analysis. Receiver operating characteristic (ROC) curves and C-index were used to compare the prognostic accuracy of anthropometric measurements. Logistic regression analysis assessed associations with metastasis, severe malnutrition, and cachexia.

resultsCox regression analysis revealed that higher anthropometric measurements were significantly associated with improved OS. Specifically, higher CC (HR = 0.658, 95% CI 0.581-0.746, p < 0.001) demonstrated the strongest protective effects against survival. ROC curves showed that CC had the best predictive performance in both males (AUC = 0.712) and females (AUC = 0.689), followed by BMI (males AUC = 0.698, females AUC = 0.673). C-index comparison further validated the advantage of CC, with slightly higher predictive accuracy in males (C-index = 0.574) and females (C-index = 0.576) compared to BMI (males 0.571, females 0.545). Logistic regression analysis indicated that higher anthropometric measurements were associated with lower odds of metastasis, severe malnutrition, and cachexia. Notably, MAC performed best in assessing malnutrition, followed by CC.

conclusionAnthropometric measurements, particularly CC, are robust predictors of OS, metastasis, malnutrition, and cachexia in gastric cancer patients.

Indexed as

AnthropometryCachexiaMalnutritionStomach NeoplasmsAdultAgedAged, 80 and overBody Mass IndexCohort StudiesFemaleHand StrengthHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm MetastasisAnthropometric measurementsCachexiaGastric cancerMalnutritionOverall survival

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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.