Kirti Malhotra1, Joshua J Fenton2, Paul R Duberstein3, Ronald M Epstein3, Guibo Xing4, Daniel J Tancredi4, Michael Hoerger5, Robert Gramling6, Richard L Kravitz4. 1. Department of Internal Medicine, University of California at Davis, Sacramento, California. 2. Department of Family and Community Medicine, University of California at Davis, Sacramento, California. 3. Department of Family Medicine, University of Rochester Medical Center, Rochester, New York. 4. Center for Healthcare Policy and Research, University of California at Davis, Sacramento, California. 5. Department of Psychology, Tulane University, New Orleans, Louisiana. 6. Division of Palliative Medicine, University of Vermont, Burlington, Vermont.
Abstract
BACKGROUND: In caring for patients with advanced cancer, accurate estimation of survival is important for clinical decision making. The purpose of this study was to assess the accuracy of 2-year survival probabilities estimated by oncologists, patients, and caregivers and to identify demographic and clinical factors associated with prognostic accuracy. METHODS: This was a secondary observational analysis of data obtained from a cluster randomized controlled trial. Participants included 38 oncologists, 263 patients with advanced nonhematologic cancer, and 193 of their caregivers from clinics in Sacramento and Western New York. Discrimination within each group (oncologists, patients, caregivers) was evaluated using the C statistic, whereas calibration was assessed by comparing observed to predicted 2-year mortality using the chi-square statistic. RESULTS: The median survival from study entry was 18 months, and 41.8% of patients survived for 2 years. C statistics for oncologists, patients, and caregivers were 0.81 (95% CI, 0.76-0.86), 0.62 (95% CI, 0.55-0.68), and 0.72 (95% CI, 0.65-0.78), respectively; oncologists' predictions were better than the predictions of both patients (P = .001) and caregivers (P = .03). Oncologists also had superior calibration: their predictions of 2-year survival were similar to actual survival (P = .17), whereas patients' (P = .0001) and caregivers' (P = .003) predictions diverged significantly from actual survival. Although most oncologists' predictions were classified as realistic (62.0%), approximately one-half of patients' and caregivers' predictions (50.0% and 46.0%, respectively) were unduly optimistic. Among patients, nonwhite race and higher levels of social well-being predicted undue optimism (P < .05). CONCLUSIONS: Compared with oncologists, patients and caregivers displayed inferior prognostic discrimination, and their predictions were poorly calibrated, primarily because of overoptimism.
RCT Entities:
BACKGROUND: In caring for patients with advanced cancer, accurate estimation of survival is important for clinical decision making. The purpose of this study was to assess the accuracy of 2-year survival probabilities estimated by oncologists, patients, and caregivers and to identify demographic and clinical factors associated with prognostic accuracy. METHODS: This was a secondary observational analysis of data obtained from a cluster randomized controlled trial. Participants included 38 oncologists, 263 patients with advanced nonhematologic cancer, and 193 of their caregivers from clinics in Sacramento and Western New York. Discrimination within each group (oncologists, patients, caregivers) was evaluated using the C statistic, whereas calibration was assessed by comparing observed to predicted 2-year mortality using the chi-square statistic. RESULTS: The median survival from study entry was 18 months, and 41.8% of patients survived for 2 years. C statistics for oncologists, patients, and caregivers were 0.81 (95% CI, 0.76-0.86), 0.62 (95% CI, 0.55-0.68), and 0.72 (95% CI, 0.65-0.78), respectively; oncologists' predictions were better than the predictions of both patients (P = .001) and caregivers (P = .03). Oncologists also had superior calibration: their predictions of 2-year survival were similar to actual survival (P = .17), whereas patients' (P = .0001) and caregivers' (P = .003) predictions diverged significantly from actual survival. Although most oncologists' predictions were classified as realistic (62.0%), approximately one-half of patients' and caregivers' predictions (50.0% and 46.0%, respectively) were unduly optimistic. Among patients, nonwhite race and higher levels of social well-being predicted undue optimism (P < .05). CONCLUSIONS: Compared with oncologists, patients and caregivers displayed inferior prognostic discrimination, and their predictions were poorly calibrated, primarily because of overoptimism.
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