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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...

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Related Experiment Video

Updated: Jun 5, 2026

Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization
07:34

Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization

Published on: November 17, 2023

Interobserver variability in prostate cancer specific survival.

J Y Clark1, P K Lillis, T J O'Rourke

  • 1Urology Service, Brooke Army Medical Center, 3851 Roger Brooke Drive, San Antonio, TX 78234-6200, USA.

Urologic Oncology
|January 14, 2011
PubMed
Summary
This summary is machine-generated.

Disease-specific survival (DSS) reliability in prostate cancer patients is questionable. Reviewer variability in determining cause of death significantly impacts DSS outcomes, suggesting it

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07:34

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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Area of Science:

  • Oncology
  • Biostatistics

Background:

  • Disease-specific survival (DSS) is a critical endpoint in cancer research.
  • Prostate cancer (CaP) studies often rely on accurate survival metrics.

Purpose of the Study:

  • To assess the reliability of disease-specific survival (DSS) as an outcome measure in prostate cancer patients.
  • To determine the impact of individual reviewer interpretation on DSS calculations.

Main Methods:

  • Retrospective review of 50 deceased prostate cancer patient records from a hospital tumor registry.
  • Six independent reviewers assessed the cause of death for each patient.
  • Disease-specific survival (DSS) curves were generated based on each reviewer's determination.

Main Results:

  • Significant variability was observed in DSS calculations across different reviewers.
  • While DSS curves showed general parallelism, interval variations were notable.
  • Individual reviewer interpretation demonstrated a substantial influence on the resulting DSS data.

Conclusions:

  • Disease-specific survival (DSS) is highly dependent on the individual reviewer's assessment.
  • The reliability of DSS as a standalone outcome measure in prostate cancer requires careful consideration.
  • Further standardization in cause-of-death determination is recommended for consistent DSS reporting.