Evidence map›Paper›PMID 41720484›Full record

Observational studyCancer medicine2026

Prognostic Nomograms and Scoring System: Novel Approaches to Forecast Overall Survival and Cancer-Specific Survival in Patients With Testicular Cancer.

Xiaoqi Huang, Lian Zhu, Mengjie Sun, Yuan Zhou, Yingman Ding, Changming Lin

Abstract readObservational Study
In one paragraph

Observational study in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoqi HuangDepartment of Urology Surgery, The People's Hospital of Xuancheng City, Xuanzhou, Xuancheng, China.
Lian ZhuDepartment of Urology Surgery, The People's Hospital of Xuancheng City, Xuanzhou, Xuancheng, China.
Mengjie SunWannan Medical College, Yijiang, China.
Yuan ZhouDepartment of Urology Surgery, The People's Hospital of Xuancheng City, Xuanzhou, Xuancheng, China.ORCID https://orcid.org/0000-0001-5708-3933
Yingman DingDepartment of Urology Surgery, The People's Hospital of Xuancheng City, Xuanzhou, Xuancheng, China.
Changming LinDepartment of Urology Surgery, Huaian 82 Hospital, Qinghe, Huaian, China.ORCID https://orcid.org/0009-0000-5438-9865

Funding

Project of the Science and Technology Department of Anhui Province 2025AHGXZK31380Scientific research project of Xuancheng People's Hospital KY202501
6 · The paper itself

Abstract

objectivesTo develop efficacious assessment tools to individualize the evaluation of overall survival (OS) and cancer-specific survival (CSS) in patients with testicular cancer.

methodsA total of 30,689 patients diagnosed with testicular cancer between 2004 and 2021 were selected from the Surveillance, Epidemiology, and End Results database. The study population was randomly divided into a training cohort and a validation cohort. Univariate and multivariate Cox analyses were conducted to identify significant predictors, which were subsequently utilized to construct nomograms for predicting 1-, 3-, 5-, and 10-year OS and CSS. The predictive performance of the nomograms underwent internal and external testing with the application of the concordance index (C-index), receiver operating characteristic curves, and calibration curves. We developed a prognostic scoring system based on the coefficients within the Cox models for each subgroup.

resultsThe significant predictors included age, race, marital status, TNM stage, radiation, chemotherapy, surgery and pathology. Age emerged as the most potent factor associated with overall and cancer-specific death (≥ 60 vs. < 30 years old: HR = 12.19 for OS and HR = 5.94 for CSS, p < 0.001). Among all pathological subtypes, choriocarcinoma exhibited the worst OS and CSS (reference seminoma: HR = 2.79 for OS and HR = 5.02 for CSS, p < 0.001). The favorable internal validation (C-index: 0.799 for OS and 0.859 for CSS; area under the curve = 0.773-0.892), external validation (C-index: 0.784 for OS and 0.867 for CSS) and calibration curves indicated the nomograms possessed good predictive ability. We developed a prognostic scoring system for the first time, which is more accurate than the traditional TNM system in evaluating patients' survival outcomes.

conclusionThe prognostic nomograms and scoring systems are capable of effectively evaluating the 1-, 3-, 5-, and 10-year OS and CSS of testicular cancer patients and providing a reliable tool for optimizing clinical treatment decisions and follow-up management.

Indexed as

Neoplasm StagingNomogramsTesticular NeoplasmsAdultAge FactorsCalibrationHumansMaleMiddle AgedPrognosisProportional Hazards ModelsReproducibility of ResultsRetrospective StudiesRisk AssessmentROC CurveSEER Programnomogrampathological typeprognostic toolSEERsignificant predictorssurvivaltesticular cancer

Identifiers

PMID41720484
PMCPMC12927951

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.