Evidence map›Paper›PMID 38566587›Full record

ArticleCancer medicine2024

Developing and validating a nomogram for penile cancer survival: A comprehensive study based on SEER and Chinese data.

Jiawen Luo, Jintao Hu, Yelisudan Mulati, Zhikai Wu, Cong Lai, Degeng Kong, Cheng Liu, Kewei Xu

Abstract readValidation Study
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jiawen LuoDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-2031-2912
Jintao HuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yelisudan MulatiDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0001-6722-4867
Zhikai WuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Cong LaiDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Degeng KongDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Cheng LiuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Kewei XuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0003-4649-4619

Funding

Guangdong Province key areas research and development plan 2023B1111030006Guangdong Provincial Clinical Research Center for Urological Diseases 2020B1111170006Guangdong Science and Technology Department 2020B1212060018Guangzhou Science and Technology Planning Project 201803010029Guangzhou Science and Technology Planning Project 202011020004Key Areas Research and Development Program of Guangdong 2020B111114002Medical Science and Technology Research Foundation of Guangdong Province A2022541Medical Scientific Research Foundation of Guangdong Province C2018060National Natural Science Foundation of China 82072841Natural Science Foundation of Guangdong Province 2021A1515010199Yixian Clinical Research Project of Sun Yat sen Memorial Hospital sysc201802
6 · The paper itself

Abstract

objectiveThe primary aim of this study was to create a nomogram for predicting survival outcomes in penile cancer patients, utilizing data from the Surveillance, Epidemiology, and End Results (SEER) and a Chinese organization.

methodsOur study involved a cohort of 5744 patients diagnosed with penile cancer from the SEER database, spanning from 2004 to 2019. In addition, 103 patients with penile cancer from Sun Yat-sen Memorial Hospital of Sun Yat-sen University were included during the same period. Based on the results of regression analysis, a nomogram is constructed and validated internally and externally. The predictive performance of the model was evaluated by concordance index (c-index), area under the curve, decision curve analysis, and calibration curve, in internal and external datasets. Finally, the prediction efficiency is compared with the TNM staging model.

resultsA total of 3154 penile patients were randomly divided into the training group and the internal validation group at a ratio of 2:1. Nine independent risk factors were identified, including age, race, marital status, tumor grade, histology, TNM stage, and the surgical approach. Based on these factors, a nomogram was constructed to predict OS. The nomogram demonstrated relatively better consistency, predictive accuracy, and clinical relevance, with a c-index over 0.73 (in the training cohort, the validation cohort, and externally validation cohort.) These evaluation indexes are far better than the TNM staging system.

conclusionPenile cancer, often overlooked in research, has lacked detailed investigative focus and guidelines. This study stands as the first to validate penile cancer prognosis using extensive data from the SEER database, supplemented by data from our own institution. Our findings equip surgeons with an essential tool to predict the prognosis of penile cancer better suited than TNM, thereby enhancing clinical decision-making processes.

Indexed as

NomogramsPenile NeoplasmsCalibrationChinaHumansMalePrognosisSEER Programexternal verificationnomogramoverall survivalpenile cancerprognosisSEERTMN

Identifiers

PMID38566587
PMCPMC10988236

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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.