AI Article Synopsis

  • The study aimed to assess whether oncologists tend to overestimate expected survival time (EST) for patients with advanced cancer by comparing it to actual observed survival time (OST).
  • It found that oncologists’ estimates of EST were generally accurate, with about 50% of the EST being longer than OST, though 28% of estimates were imprecise within a specific range.
  • The results indicate that oncologists are equally likely to overestimate or underestimate survival, and using simple multiples of EST can effectively outline worst-case, typical, and best-case survival scenarios.

Article Abstract

Background: To evaluate the claim that oncologists overestimate expected survival time (EST) in advanced cancer.

Methods: We pooled 7 prospective studies in which observed survival time (OST) was compared with EST (median survival in a group of similar patients estimated at baseline by the treating oncologist). We hypothesized that EST would be well calibrated (approximately 50% of EST longer than OST) and imprecise (<30% of EST within 0.67 to 1.33 of OST), and that multiples of EST would provide well-calibrated scenarios for survival time: worst-case (approximately 10% of OST <1/4 of EST), typical (approximately 50% of OST within half to double EST), and best-case (approximately 10% of OST >3 times EST). Associations between baseline characteristics and calibration of EST were assessed.

Results: Characteristics of 1,211 patients: median age 66 years, male 61%, primary site lung (40%) and upper gastrointestinal (16%). The median OST was 8 months, and EST was 9 months. Oncologists' estimates of EST were well calibrated (50% longer than OST) and imprecise (28% within 0.67 to 1.33 of OST). Scenarios for survival time based on simple multiples of EST were well calibrated: 8% of patients had an OST less than 1/4 their EST (worst-case), 56% had an OST within half to double their EST (typical), and 11% had an OST greater than 3 times their EST (best-case). Calibration was independent of age, sex, and cancer type.

Conclusions: Oncologists were no more likely to overestimate survival time than to underestimate it. Simple multiples of EST provide well-calibrated estimates of worst-case, typical, and best-case scenarios for survival.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697783PMC
http://dx.doi.org/10.1093/jncics/pkad094DOI Listing

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