Evidence map›Paper›PMID 37264772›Full record

ArticleCancer medicine2023

Development and validation of a nomogram for predicting the overall survival of patients with testicular cancer.

Haohui Yu, Bin Feng, Yunrui Zhang, Jun Lyu

Abstract read
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Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Haohui YuDepartment of Medical Administration, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Bin FengDepartment of Medical Administration, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yunrui ZhangDepartment of Medical Administration, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jun LyuDepartment of Medical Administration, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0002-2237-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to develop and validate a nomogram to predict survival in testicular cancer patients.

methodsTesticular cancer patients diagnosed between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database were selected for this study. A random sampling method was used to divide patients into training and validation cohorts, which accounted for 30% and 70% of the total sample, respectively. The nomogram was developed using the training cohort and evaluated using the C index, calibration chart, and area under the receiver operating characteristic curve (AUC).

resultsSeven risk factors that affect the survival of testicular cancer patients (AJCC stage, marital status, age at diagnosis, race, SEER historic stage A, surgery status, and origin) were identified using Cox proportional hazard regression analysis. The nomogram has a higher C index (0.897) and AUC when compared with the AJCC staging system. The results of the calibration chart of the nomogram show that the predicted survival of testicular cancer patients at 3, 5, and 10 years after diagnosis is very close to their actual survival.

conclusionsWe developed and validated a nomogram for predicting the survival rate of testicular cancer patients at 3, 5, and 10 years after diagnosis. This nomogram has better discrimination, calibration, and clinical validity than the AJCC staging system. This indicates that the nomogram can be used to predict the survival of testicular cancer patients effectively, and provide a reference for patient treatment strategies.

Indexed as

NomogramsTesticular NeoplasmsCalibrationDatabases, FactualHumansMaleNeoplasms, Germ Cell and EmbryonalSEER Programnomogramoverall survivalSEERtesticular cancer

Identifiers

PMID37264772
PMCPMC10417196

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