Related Experiment Video
Updated: Aug 4, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Early death after palliative radiation treatment: 30-, 35- and 40-day mortality data and statistically robust
Carsten Nieder1,2, Luka Stanisavljevic3, Bård Mannsåker3
1Department of Oncology and Palliative Medicine, Nordland Hospital Trust, 8092, Bodø, Norway. cnied@hotmail.com.
Background:
This study analyzed mortality after radiotherapy for bone metastases (287 courses). Endpoints such as treatment in the last month of life and death within 30, 35 and 40 days from start of radiotherapy were evaluated.
Methods:
Different baseline parameters including but not limited to blood test results and patterns of metastases were assessed for association with early death. After univariate analyses, multi-nominal logistic regression was employed.
Results:
Of 287 treatment courses, 42 (15%) took place in the last month of life. Mortality from start of radiotherapy was 13% (30-day), 15% (35-day) and 18% (40-day), respectively. We identified three significant predictors of 30-day mortality (performance status (≤ 50, 60-70, 80-100), weight loss of at least 10% within 6 months (yes/no), pleural effusion (present/absent)) and employed these to construct a predictive model with 5 strata and mortality rates of 0-75%. All predictors of 30-day mortality were also associated with both, 35- and 40-day mortality.
Conclusion:
Early death was not limited to the first 30 days after start of radiotherapy. For different cut-off points, similar predictive factors emerged. A model based on three robust predictors was developed.
Related Concept Videos
Cancer Survival Analysis
Assumptions of Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Kaplan-Meier Approach
Statistical Methods for Analyzing Epidemiological Data

