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  6. Competing Risk Nomogram Predicting Cause-specific Mortality In Older Patients With Testicular Germ Cell Tumors

Competing risk nomogram predicting cause-specific mortality in older patients with testicular germ cell tumors

Xiaoying Wu1, Mingfei Zhou2, Jun Lyu3

  • 1College of Pharmacy, Jinan University, Guangzhou, China.

Frontiers in Medicine
|May 2, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study developed a prognostic model for older adults with testicular germ cell tumors (TGCT). The new nomogram accurately predicts cause-specific mortality, aiding clinical decision-making for elderly TGCT patients.

Area of Science:

  • Oncology
  • Biostatistics
  • Geriatric Medicine

Background:

  • Testicular germ cell tumor (TGCT) is the most common malignancy in young men, but its prognosis in older adults is less understood.
  • Older adults (≥50 years) diagnosed with TGCT represent a distinct population requiring tailored prognostic assessment.

Purpose of the Study:

  • To develop and validate a competing risk model for predicting prognosis in older patients with TGCT.
  • To establish a nomogram that accurately estimates cause-specific mortality in this demographic.

Main Methods:

  • Utilized the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database (2004-2015) for patients aged 50 and above with TGCT.
  • Employed Fine-Gray competing risk regression to model cause-specific death, estimating cumulative incidences.
Keywords:
competing risknomogramolder patientsprognosis

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  • Validated the nomogram's performance using concordance index (C-index), calibration curves, AUC, and decision analysis curves (DCA).
  • Main Results:

    • Included 2,751 older TGCT patients; 3-, 5-, and 10-year cumulative incidences for cause-specific death were 4.4%, 5.0%, and 6.1%, respectively.
    • Key predictors identified for cause-specific mortality included age, marital status, income, histology, tumor size, stage, and surgery.
    • The nomogram demonstrated excellent discrimination (C-index > 0.8) and accuracy, outperforming conventional AJCC staging in clinical utility.

    Conclusions:

    • A robust competing risk nomogram was successfully developed for predicting TGCT prognosis in older patients.
    • This tool offers clinicians a reliable method for accurate prognosis prediction and risk stratification in elderly TGCT cases.
    testicular germ cell tumors