1. Predicting Survival for Patients With Metastatic Disease.
- Author
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Benson KRK, Aggarwal S, Carter JN, von Eyben R, Pradhan P, Prionas ND, Bui JL, Soltys SG, Hancock S, Gensheimer MF, Koong AC, and Chang DT
- Subjects
- Aged, Clinical Competence, Data Accuracy, Female, Forecasting, Humans, Karnofsky Performance Status statistics & numerical data, Logistic Models, Male, Neoplasm Metastasis, Neoplasms pathology, Neoplasms radiotherapy, Prospective Studies, Survival Analysis, Terminal Care, Time Factors, Life Expectancy, Neoplasms mortality, Radiation Oncologists statistics & numerical data
- Abstract
Purpose: This prospective study aimed to determine the accuracy of radiation oncologists in predicting the survival of patients with metastatic disease receiving radiation therapy and to understand factors associated with their accuracy., Methods and Materials: This single-institution study surveyed 22 attending radiation oncologists to estimate patient survival. Survival predictions were defined as accurate if the observed survival (OS) was within the correct survival prediction category (0-6 months, >6-12 months, >12-24 months, and >24 months). The physicians made survival estimates for each course of radiation, yielding 877 analyzable predictions for 689 unique patients. Data analysis included Stuart's Tau C, logistic regression models, ordinal logistic regression models, and stepwise selection to examine variable interactions., Results: Of the 877 radiation oncologists' predictions, 39.7% were accurate, 26.5% were underestimations, and 33.9% were overestimations. Stuart's Tau C showed low correlation between OS and survival estimates (0.3499), consistent with the inaccuracy reported in the literature. However, results showed less systematic overprediction than reported in the literature. Karnofsky performance status was the most significant predictor of accuracy, with greater accuracy for patients with shorter OS. Estimates were also more accurate for patients with lower Karnofsky performance status. Accuracy by patient age varied by primary site and race. Physician years of experience did not correlate with accuracy., Conclusions: The sampled radiation oncologists have a 40% accuracy in predicting patient survival. Future investigation should explore how survival estimates influence treatment decisions and how to improve survival prediction accuracy., (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Published
- 2020
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