Evidence mapPaperPMID 41163166Full record

ArticleLipids in health and disease2025

Body roundness index as a novel anthropometric predictor of sarcopenia in patients with cancer: a bicontinental cohort study across Chinese and American populations.

Yang Yu, Yuan Hong, Peng Zhang, Kang Cheng, Bo Chen

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In one paragraph

Article in Lipids in health and disease, 2025. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yang Yu *Department of General Surgery, The First Affiliated Hospital, Anhui Medical University, No. 218 Jixi Road, Shushan District, Hefei, 230022, Anhui, China.
Yuan Hong *Department of General Surgery, The First Affiliated Hospital, Anhui Medical University, No. 218 Jixi Road, Shushan District, Hefei, 230022, Anhui, China.
Peng Zhang *Department of General Surgery, The First Affiliated Hospital, Anhui Medical University, No. 218 Jixi Road, Shushan District, Hefei, 230022, Anhui, China.
Kang Cheng *Department of General Surgery, The First Affiliated Hospital, Anhui Medical University, No. 218 Jixi Road, Shushan District, Hefei, 230022, Anhui, China.
Bo ChenDepartment of General Surgery, The First Affiliated Hospital, Anhui Medical University, No. 218 Jixi Road, Shushan District, Hefei, 230022, Anhui, China. chenbo831116@163.com.

Funding

Provincial Quality Engineering Project for Graduate Education in the New Era 2023jyjxggyjY087Research and Reform Practice Project on the "Four New" in Undergraduate Education 2023sx200the Anhui Medical University Clinical Research Project 2020xkj176the Anhui Provincial Natural Science Foundation (2208085MH240the Anhui Quality Engineering Project 2020jyxm0898, 2020jyxm0910,2021jyxm0727the Scientific Research Project of Anhui Provincial Department of Education 2022AH051167
6 · The paper itself

Abstract

backgroundSarcopenia, the progressive depletion of skeletal muscle mass and strength, worsens daily living outcomes and survival in individuals diagnosed with cancer. It arises from complex interactions between primary malignancy, antineoplastic interventions, and treatment-related sequelae, making early risk assessment a clinical priority. The body roundness index (BRI), an anthropometric metric superior to body mass index in body composition profiling, has shown diagnostic utility across metabolic and cardiovascular domains. However, its prognostic value in cancer-associated sarcopenia remains underexplored. This bicontinental study pioneers the clinical validation of BRI for sarcopenia prediction, proposing an objective quantification framework to optimize early screening and personalized therapeutic strategies in oncological practice.

methodsA cross-national dual-cohort design was implemented, using data from the US National Health and Nutrition Examination Survey multi-cancer cohort (n = 1,688) and a Chinese gastrointestinal oncology cohort (n = 713). Multivariable logistic regression adjusted demographics, lifestyle, comorbidities, cancer-related characteristics, and laboratory markers to examine the independent association between BRI and sarcopenia. Subgroup analyses with race- and cancer type-specific interaction terms were conducted to assess effect modification patterns, whereas nonlinear relationships were examined using smooth curve fitting and threshold effect models to identify critical thresholds. A predictive tool was developed and validated through receiver operating curve analysis and decision curve analysis to assess its diagnostic performance and clinical utility.

resultsBRI was positively associated with sarcopenia risk in both cohorts (US: odds ration [OR] = 1.62, 95% confidence interval [CI] = 1.48-1.77, P < 0.001; Chinese: OR = 2.39, 95% CI = 1.82-3.15, P < 0.001), with distinct threshold effects observed (US cohort critical BRI value = 6.73; Chinese cohort critical BRI value = 3.01). The predictive model showed good performance (US cohort area under the curve (AUC): 0.80 training, 0.82 validation; Chinese cohort AUC: 0.66 training, 0.78 validation). Decision curve analysis for both cohorts exhibited broad clinical applicability.

conclusionThis study is the first to establish BRI independently predicts sarcopenia risk in patients with cancer. Additionally, a BRI-based model integrating sex and age combines the advantages of accuracy, specificity, and cost-effectiveness, demonstrating significant clinical utility.

Indexed as

NeoplasmsSarcopeniaAdultAgedAnthropometryBody CompositionBody Mass IndexChinaCohort StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedMuscle, SkeletalPrognosisAnthropometryBody compositionMulticenter studyPredictive value of testsSarcopeniaUnited states national health and nutrition examination survey

Identifiers

PMID41163166
PMCPMC12573915

What Socratic holds

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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.