Evidence map›Paper›PMID 40676338›Full record

ArticleWorld journal of urology2025

Novel risk predictor of spontaneous rupture and hemorrhage of renal cell carcinoma based on clinical and radiographic characteristics.

Bin Lin, Xiao-Dong Li, Meng-Xin Liu, Yu-Ting Xue, Xu-Yun Huang, Zhi-Bin Ke, Jia-Yin Chen, Fei Lin, Qing-Shui Zheng, Yong Wei and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 authors.

Bin Lin *Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Xiao-Dong Li *Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Meng-Xin Liu *Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Yu-Ting Xue *Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Xu-Yun HuangDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Zhi-Bin KeDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Jia-Yin ChenDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Fei LinDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Qing-Shui ZhengDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Yong WeiDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Xue-Yi XueDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
Shao-Hao ChenDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China. shaohao.chen@fjmu.edu.cn.
Ning XuDepartment of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China. drxun@fjmu.edu.cn.

Funding

Fujian Province Finance Project 2020B017Natural Science Foundation of Fujian Province 2022J01704
6 · The paper itself

Abstract

objectivesTo evaluate and validate clinical and imaging predictors of spontaneous rupture and hemorrhage (SRH) in renal cell carcinoma (RCC), and to develop an individualized risk prediction nomogram.

methodsA cohort of 914 RCC patients was analyzed. Clinical and imaging characteristics were compared between SRH and non-SRH groups, with baseline characteristics balanced using propensity score matching. Univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis were performed to identify SRH risk factors. A predictive nomogram was constructed and internally validated.

resultsAfter matching, baseline characteristics were comparable. Protective factors against SRH included posterior perirenal fat thickness (HR

conclusionsPerinephric fat stranding and the renal tumor vascular-to-renal artery diameter ratio are significant risk factors for SRH in RCC, while perirenal fat thickness and solid tumors are protective. Patients with fumarate hydratase deficiency are at increased SRH risk and require special clinical attention. The developed nomogram may assist in individualized risk assessment and clinical decision-making.

Indexed as

Carcinoma, Renal CellHemorrhageKidney NeoplasmsNomogramsAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsRupture, SpontaneousTomography, X-Ray ComputedComputed tomographyFumarate hydratasePerinephric fatRenal cell carcinomaSpontaneous rupture

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.