Evidence map›Paper›PMID 41522315›Full record

ArticleTranslational andrology and urology2025

Prognostic impact of nephrectomy and a prediction model for estimating the survival benefit of nephrectomy for patients with clear cell renal cell carcinoma (ccRCC).

Hao Li, Hongjun Yin, Guang Sun, Mingtao Zhang, Baochao Zhang, Hongqian Guo, Changwei Ji

Abstract read
In one paragraph

Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hao Li *Department of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Hongjun YinDepartment of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
Guang SunDepartment of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Mingtao ZhangDepartment of Urology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing, China.
Baochao Zhang *Department of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Hongqian GuoDepartment of Urology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Changwei JiDepartment of Urology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The benefit of nephrectomy for all patients with clear cell renal cell carcinoma (ccRCC) remains controversial. This study assessed the impact of nephrectomy on patient prognosis and developed a prognostic model for nephrectomy-treated patients. Methods: Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) and The Cancer Genome Atlas databases. Propensity score matching (PSM) was implemented, followed by univariate and multivariate survival analyses to compare overall survival (OS) between ccRCC patients treated with and without nephrectomy. Subsequently, we developed and internally validated a nomogram for predicting OS in nephrectomy-treated patients using multivariate Cox regression modeling. Results: OS was significantly better in the nephrectomy group compared to the non-nephrectomy group [hazard ratio (HR) =0.405, 95% confidence interval (CI): 0.382-0.429, P<0.001), with significant benefit observed across all predefined subgroups (all HR <1, P<0.05). Age, gender, tumor stage, tumor-node-metastasis (TNM) stage and differentiation grade were identified as independent risk factors of OS in nephrectomy-treated ccRCC patients. The nomogram incorporating these factors exhibited excellent discrimination, calibration, and clinical utility in training, internal validation, and external test cohorts. Conclusions: Nephrectomy was shown to significantly improve survival in patients with ccRCC. We developed an effective survival prediction model for these patients, which could aid in identifying high-risk individuals and providing a valuable tool for personalized survival assessments.

Indexed as

Clear cell renal cell carcinoma (ccRCC)nephrectomypredictive model

Identifiers

PMID41522315
PMCPMC12779432

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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.