Evidence map›Paper›PMID 40699413›Full record

ArticleInternational urology and nephrology2026

Visceral fat measured with CT helps predict recurrence-free survival in patients with localized clear cell renal cell carcinoma.

Zhan Feng, Yaoyao Wu, Zhengyu Hu, Piao Yang, Zhi Li

Abstract read
In one paragraph

Article in International urology and nephrology, 2026. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

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.

Zhan FengDepartment of Radiology, The First Affiliated Hospital of Zhejiang University School of Medicine, Shangcheng District, 79 Qingchun Rd, Hangzhou, 310000, China. gerxyuan@zju.edu.cn.
Yaoyao WuDepartment of Radiology, The First Affiliated Hospital of Zhejiang University School of Medicine, Shangcheng District, 79 Qingchun Rd, Hangzhou, 310000, China.
Zhengyu HuDepartment of Radiology, Second People's Hospital of Yuhang District, Hangzhou, 310003, China.
Piao YangDepartment of Radiology, The First Affiliated Hospital of Zhejiang University School of Medicine, Shangcheng District, 79 Qingchun Rd, Hangzhou, 310000, China.
Zhi LiDepartment of Radiology, The First Affiliated Hospital of Zhejiang University School of Medicine, Shangcheng District, 79 Qingchun Rd, Hangzhou, 310000, China.

Funding

Zhejiang Provincial Natural Science Foundation of China LTGY24H180003
6 · The paper itself

Abstract

backgroundTo investigate the prognostic significance of visceral fat to predict recurrence-free survival in patients with localized clear cell renal cell carcinoma (ccRCC).

methodsThis study included patients with localized ccRCC who had undergone curative surgery. Visceral, subcutaneous fat and the relative visceral fat area (rVFA) were quantified utilizing preoperative CT images. The association between rVFA and recurrence-free survival (RFS) was explored using restricted cubic splines, Cox proportional hazards regression, and Kaplan-Meier survival analysis. The predictive capability of rVFA was evaluated using the Boruta algorithm, a predictive model was developed using the random survival forest (RSF) with results visualized via Shapley additive explanations (SHAP).

resultsFour hundred and forty six patients were included. The follow-up median duration was 48.5 months, during which 57 patients experienced metastasis or death. Restricted cubic spline model revealed a nonlinear association between rVFA and tumor progression, exhibiting a U-shaped curve trend with an inflection point at 0.40. Beyond this threshold, rVFA was significantly correlated with an increased risk of progression. The RSF model yielded an area under the curve (AUC) of 0.89 for predicting 1-year RFS, 0.73 for 3-year RFS, and 0.75 for 5-year RFS. Both Boruta and SHAP analyses identified rVFA as a significant predictive feature.

conclusionsA U-shaped association between rVFA and risk of tumor recurrence was observed among patients with ccRCC. A high rVFA is significantly correlated with an increased risk of adverse events, thus indicating that rVFA is a potential indicator for predicting the prognosis of ccRCC.

Indexed as

Carcinoma, Renal CellIntra-Abdominal FatKidney NeoplasmsTomography, X-Ray ComputedAdultAgedDisease-Free SurvivalFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalPredictive Value of TestsPrognosisRetrospective StudiesClear cell renal cell carcinoma (ccRCC)Recurrence-free survival (RFS)Relative visceral fat area (rVFA)

Identifiers

PMID40699413
PMCPMC12864204

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.