Evidence map›Paper›PMID 40340924›Full record

ArticleBMC cancer2025

The relationship between renal cell carcinoma pathological types and perirenal fat area.

Xin Leng, Chenchao Zhou, Jiulong Wu, Hongfang Zheng, Jianliang Wang, Qiaoxing Li, Yuhua Huang, Jianhu Liu

Abstract read
In one paragraph

Article in BMC cancer, 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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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

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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

8 authors.

Xin Leng *Department of Urology, The First People's Hospital of Kunshan, Suzhou, 215300, China.
Chenchao Zhou *Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Jiulong WuDepartment of Urology, The First People's Hospital of Kunshan, Suzhou, 215300, China.
Hongfang ZhengDepartment of Urology, The First People's Hospital of Kunshan, Suzhou, 215300, China.
Jianliang WangDepartment of Radiology, The First People's Hospital of Kunshan, Suzhou, 215300, China.
Qiaoxing LiDepartment of Urology, The First People's Hospital of Kunshan, Suzhou, 215300, China.
Yuhua HuangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China. hyhsdfyy@163.com.
Jianhu LiuDepartment of Urology, The First People's Hospital of Kunshan, Suzhou, 215300, China. liujianhu@163.com.

Funding

Jiangsu Health Vocational College school level scientific research project JKC2022076
6 · The paper itself

Abstract

introductionTo explore whether there is a relationship between perirenal fat area (PFA) and the pathological types of renal cell carcinoma (RCC).

methodsTwo hundred ninety-seven cases of RCC patients were included in our study, which is a retrospective analysis. Based on pathological type, we divided the 297 RCC patients into two groups: the clear cell renal cell carcinoma (ccRCC) group (236 cases) and the non-clear cell renal cell carcinoma (non-ccRCC) group (61 cases). Computed tomography (CT) images at the renal vein level were used to measure PFA. A multivariate logistic regression model was employed to examine the connection between various pathological types of RCC and PFA.

resultsSignificant differences were observed between ccRCC and non-ccRCC patients in PFA (P = 0.007), contralateral PFA (P = 0.011), weight (P = 0.002), BMI (P < 0.001), pathological stage 1 (P = 0.010), and pathological stage 2 (P = 0.002). To study the link between pathological subtypes and PFA, a multivariate logistic regression model was employed. Stratifying patients by tumor location in the kidney, the multivariate logistic regression analysis showed that when the tumor is located outside the polar lines of the kidney (OPLK), for every 1 cm

conclusionWhen the tumor is located OPLK in T1 stage patients, PFA is positively correlated with ccRCC. Perirenal adipose tissue may be a risk factor for ccRCC.

Indexed as

Adipose TissueCarcinoma, Renal CellKidneyKidney NeoplasmsAdultAgedAged, 80 and overBody Mass IndexFemaleHumansMaleMiddle AgedNeoplasm StagingRetrospective StudiesTomography, X-Ray ComputedClear cell renal cell carcinomaNon-clear cell renal cell carcinomaPathological typePerirenal fat areaRenal cell carcinoma

Identifiers

PMID40340924
PMCPMC12060561

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.