Related Experiment Video
Updated: Mar 10, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
A prospective, multicenter cohort study to validate a simple performance status-based survival prediction system for
Takeshi Yamada1, Tatsuya Morita2, Isseki Maeda3
1Department of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, Nippon Medical School, Tokyo, Japan.
The Performance Status-Based Palliative Prognostic Index (PS-PPI) accurately predicts survival in advanced cancer patients, similar to the Palliative Prognostic Index (PPI). This modified tool is valuable for oncologists in short- and long-term prognosis.
Area of Science:
- Oncology
- Palliative Care
- Prognostic Indices
Background:
- Survival prediction systems like the Palliative Prognostic Index (PPI) are crucial for terminally ill patients.
- Oncologists are more familiar with the Eastern Cooperative Oncology Group (ECOG) performance status (PS) than the Palliative Performance Scale (PPS).
- The Performance Status-Based Palliative Prognostic Index (PS-PPI) was developed as a modified PPI utilizing ECOG PS for easier oncologist adoption.
Purpose of the Study:
- To validate the PS-PPI, a simplified survival prediction tool for oncologists.
- To compare the accuracy and utility of PS-PPI against the established PPI.
Main Methods:
- A multicenter, prospective cohort study involving 2346 patients across 58 palliative care services in Japan.
- Physicians calculated both PS-PPI and PPI for all enrolled patients.
- Comparative analysis of survival predictions, sensitivity, and specificity between PS-PPI and PPI, including subgroup analyses for different care settings and chemotherapy status.
Main Results:
- Survival predictions significantly differed between the PPI and PS-PPI risk groups (P < .001).
- The PS-PPI demonstrated higher sensitivity, while the PPI showed higher specificity.
- Both indices exhibited strong predictive performance with areas under the receiver operating characteristic curves >0.78 for survival prediction from 3 weeks to 180 days.
Conclusions:
- The PS-PPI is as accurate as the PPI in predicting prognosis for advanced cancer patients.
- PS-PPI proves effective for both short- and long-term survival predictions.
- The PS-PPI is a valuable tool for predicting survival, including for patients undergoing chemotherapy.
More Related Videos
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Kaplan-Meier Approach

