Related Experiment Video
Updated: Nov 24, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
"3-Day Surprise Question" to predict prognosis of advanced cancer patients with impending death: Multicenter
Tomoo Ikari1, Yusuke Hiratsuka1, Takuhiro Yamaguchi2
1Department of Palliative Medicine, Tohoku University School of Medicine, Sendai, Japan.
Background:
The study aimed to clarify the efficacy of the "3-Day Surprise Question (3DSQ)" in predicting the prognosis for advanced cancer patients with impending death.
Patients And Methods:
This study was a part of multicenter prospective observational study which investigated the dying process in advanced cancer patients in Japan. For patients with a Palliative Performance Scale ≤20, the 3DSQ "Would I be surprised if this patient died in the next 3 days?" was answered by their physicians. In addition to the sensitivity and specificity of the 3DSQ, the characteristics of patients who survived longer than expected were examined via multivariate analysis.
Results:
Among the 1896 patients enrolled, 1411 were evaluated. Among 1179 (83.6%) patients who were classified into the "Not surprised" group, 636 patients died within 3 days. Among 232 (16.4%) patients of "Yes surprised" group, 194 patients lived longer than 3 days. The sensitivity, specificity, positive predictive value, and negative predictive value of the 3DSQ were 94.3% (95% confidence interval [CI]: 92.7% to 95.8%), 26.3% (95% CI: 24.8% to 27.6%), 53.9% (95% CI: 53.0% to 54.7%), and 83.6% (95% CI: 78.7% to 87.7%), respectively. Multivariate analysis showed palpable radial artery, absent respiration with mandibular movement, SpO2 ≥ 90%, opioid administration, and no continuous deep sedation as characteristics of patients who lived longer than expected.
Conclusions:
The 3-Day Surprise Question can be a useful screening tool to identify advanced cancer patients with impending death.
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Assumptions of Survival Analysis
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Kaplan-Meier Approach

