Evidence map›Paper›PMID 41074033›Full record

ArticleBMC urology2025

Tumor necrosis-informed prognostic nomogram for clear cell renal cell carcinoma model development and clinical validation.

Zhiwei Guo, Huiyu Zhou, Dingyang Lv, Zhao Hou, Jinshuai Li, Mohan Jia, Hongyang Du, Yingbo Kang, Qiwei Wang, Yabin Wang and 4 more

Abstract readValidation Study
In one paragraph

Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

14 authors.

Zhiwei GuoDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Huiyu ZhouDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Dingyang LvDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Zhao HouAcademy of Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi Province, China.
Jinshuai LiDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Mohan JiaDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Hongyang DuDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Yingbo KangDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Qiwei WangDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Yabin WangAcademy of Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi Province, China.
Luyue KouAcademy of Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi Province, China.
Hanguang FangDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Zhengkun WangDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Weibing ShuangDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China. shuangweibing@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigated the prognostic role of tumor necrosis (TN) in non-metastatic clear cell renal cell carcinoma (ccRCC).

methodsWe enrolled 1,212 non-metastatic ccRCC patients undergoing nephrectomy (2013-2023) in this retrospective study. Computer-generated randomization allocated cases to derivation (70%, n = 848) and validation cohorts (30%, n = 364). Kaplan-Meier methodology compared overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) across TN-positive and TN-negative cohorts, with intergroup differences evaluated by log-rank testing. Prognostic determinants were identified through univariate and multivariate Cox proportional hazards regression. We developed a prognostic nomogram through stepwise Cox regression that integrated TN status with key clinicopathological variables. Validation employed: Harrell's C-index, time-dependent ROC curves, calibration plots, and decision curve analysis (DCA).

resultsTN positivity was significantly associated with reduced OS (HR: 2.12, 95% CI: 1.65-2.73; P < 0.001), CSS (HR: 2.45, 95% CI: 1.82-3.29; P < 0.001), and RFS (HR: 1.89, 95% CI: 1.32-2.70; P = 0.003) in multivariate analysis. The prognostic nomogram demonstrated excellent discrimination in the validation cohort, with C-indices of 0.855 (OS), 0.870 (CSS), and 0.724 (RFS). Time-dependent ROC analysis revealed robust predictive accuracy for OS at 1- (AUC: 0.892), 3- (AUC: 0.846), and 5-year (AUC: 0.826) intervals. Calibration curves demonstrated excellent consistency between predicted probabilities and actual outcomes. Decision curve analysis further revealed greater clinical net benefit than pT stage system and WHO/ISUP classification.

conclusionTN is an independent prognostic marker in non-metastatic ccRCC. The novel nomogram integrating TN provides reliable risk stratification, aiding personalized postoperative management.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNomogramsAgedFemaleHumansMaleMiddle AgedNecrosisPrognosisRetrospective StudiesClear cell renal carcinomaNomogramPrognosticTumor necrosis

Identifiers

PMID41074033
PMCPMC12512692

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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.