Background
Worstâcase, typical, and bestâcase scenarios for survival, based on simple multiples of an individual's expected survival time (EST), estimated by their oncologist, are a useful way of formulating and explaining prognosis. We aimed to determine the accuracy and prognostic significance of oncologistsâ estimates of EST, and the accuracy of the resulting scenarios for survival time, in advanced gastric cancer.
Materials and Methods
Sixtyâsix oncologists estimated the EST at baseline for each of the 152 participants they enrolled in the INTEGRATE trial. We hypothesized that oncologistsâ estimates of EST would be unbiased (âŒ50% would be longer or shorter than the observed survival time [OST]); imprecise (<33% within 0.67â1.33 times the OST); independently predictive of overall survival (OS); and accurate at deriving scenarios for survival time with approximately 10% of patients dying within a quarter of their EST (worstâcase scenario), 50% living within half to double their EST (typical scenario), and 10% living three or more times their EST (bestâcase scenario).
Results
Oncologistsâ estimates of EST were unbiased (45% were shorter than the OST, 55% were longer); imprecise (29% were within 0.67â1.33 times observed); moderately discriminative (Harrell's Câstatistic 0.62, p = .001); and an independently significant predictor of OS (hazard ratio, 0.89; 95% confidence interval, 0.83â0.95; p = .001) in a Cox model including performance status, number of metastatic sites, neutrophilâtoâlymphocyte ratio â„3, treatment group, age, and healthârelated quality of life (EORTCâQLQC30 physical function score). Scenarios for survival time derived from oncologistsâ estimates were remarkably accurate: 9% of patients died within a quarter of their EST, 57% lived within half to double their EST, and 12% lived three times their EST or longer.
Conclusion
Oncologistsâ estimates of EST were unbiased, imprecise, moderately discriminative, and independently significant predictors of OS. Simple multiples of the EST accurately estimated worstâcase, typical, and bestâcase scenarios for survival time in advanced gastric cancer.
Implications for Practice
Results of this study demonstrate that oncologistsâ estimates of expected survival time for their patients with advanced gastric cancer were unbiased, imprecise, moderately discriminative, and independently significant predictors of overall survival. Simple multiples of the expected survival time accurately estimated worstâcase, typical, and bestâcase scenarios for survival time in advanced gastric cancer.