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Dynamic prognostication using conditional survival estimates
Author(s) -
Zabor Emily C.,
Gonen Mithat,
Chapman Paul B.,
Panageas Katherine S.
Publication year - 2013
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/cncr.28273
Subject(s) - medicine , survivorship curve , survival analysis , stage (stratigraphy) , cancer , conditional probability , disease , pediatrics , demography , surgery , statistics , paleontology , mathematics , biology , sociology
Measures of prognosis are typically estimated from the time of diagnosis. However, these estimates become less relevant as the time from diagnosis increases for a patient. Conditional survival measures the probability that a cancer patient will survive some additional number of years, given that the patient has already survived for a certain number of years. In the current study, the authors analyzed data regarding patients with stage III melanoma to demonstrate that survival estimates from the time of diagnosis underestimate long‐term survival as the patient is followed over time. The probability of surviving to year 5 for patients at the time of presentation compared with patients who had already survived for 4 years increased from 72% to 95%, 48% to 90%, and 29% to 86%, respectively, for patients with substage IIIA, IIIB, and IIIC disease. Considering the major role played by survival estimates during follow‐up in patient counseling and the development of survivorship programs, the authors strongly recommend the routine use of conditional survival estimates. Cancer 2013;119:3589–3592 . © 2013 American Cancer Society .