Evidence map›Paper›PMID 38718696›Full record

ArticleClinics (Sao Paulo, Brazil)2024

Development and validation of prognostic nomograms for adult with papillary renal cell carcinoma: A retrospective study.

Qingxiang Guo, Sai Li, Jiawei Zhu, Zewei Wang, Zhen Li, Junqi Wang, Rumin Wen, Hailong Li

Abstract readValidation Study
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Qingxiang GuoDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Sai LiDepartment of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Jiawei ZhuDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zewei WangDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zhen LiDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Junqi WangDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Rumin WenDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Hailong LiDepartment of Urology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, China. Electronic address: Justinlee719@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to create two consensus nomograms for predicting Overall Survival (OS) and Cancer-Specific Survival (CSS) in adults with papillary Renal Cell Carcinoma (pRCC).

methodsUsing the Surveillance, Epidemiology, and End Results databases, a retrospective analysis of 1,074 adults with pRCC from 2004 to 2015 was performed. These patients were then randomly divided into two independent cohorts with a ratio of 7:3 (training cohort: 752; validation cohort: 322). In a retrospective analysis of 752 patients from the training cohort, independent prognostic variables affecting OS and CSS were found. R software was used to create prognostic nomograms based on the findings of Cox regression analysis. The performance of the nomograms was assessed using the Concordance Index (C-index), the Area Under Curve (AUC), a calibration curve, and Decision Curve Analysis (DCA). Data from the 107 postoperative pRCC patients at the Affiliated Hospital of Xuzhou Medical University were used for external validation of the nomogram.

resultsFor OS and CSS, the C-indices and AUCs of the training cohort and the validation cohort indicated that the model had excellent discrimination. The DCA demonstrated that the model was clinically applicable, and the calibration curves in the internal and external validations showed that the model's accuracy was high.

conclusionThe authors developed and validated a prognostic nomogram that accurately predicted the 3-, 5-, and 8-year OS and CSS of adults with pRCC. Clinicians can use this knowledge to direct the clinical management and counseling of patients with pRCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNomogramsAdultAgedFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisReproducibility of ResultsRetrospective StudiesSEER ProgramNomogramPapillary renal cell carcinomaSeerSurvival Analysis

Identifiers

PMID38718696
PMCPMC11091520

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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.