title: Clinical prediction of survival is more accurate than the Karnofsky performance status in estimating life span of terminally ill cancer patients.
abstract: Predicting the survival of terminally ill cancer patients can help in informing patients and their families, in programming therapy and assistance models, and in utilising existing resources correctly. Clinical prediction of survival (CPS) and Karnofsky performance status (KPS) are two factors which have already been described in the literature. The aim of our study was to verify their respective predictive value with regard to actual survival. In our study of 100 consecutive patients, the CPS obtained a higher prediction accuracy than that reported previously (correlation coefficient with actual survival = 0.51) and than that obtained with KPS alone (correlation coefficient = 0.37). The median difference between predicted and expected survival was only 1 week. The resultant predictivity could be further improved by integrating other prognostic factors studied in larger prospective, multicentric studies.
authors.affiliation: Divisione Oncologia Medica, Ospedale L. Pierantoni, Forli', Italy.
authors.forename: M
authors.initials: M
authors.lastname: Maltoni
authors.forename: O
authors.initials: O
authors.lastname: Nanni
authors.forename: S
authors.initials: S
authors.lastname: Derni
authors.forename: M P
authors.initials: MP
authors.lastname: Innocenti
authors.forename: L
authors.initials: L
authors.lastname: Fabbri
authors.forename: N
authors.initials: N
authors.lastname: Riva
authors.forename: R
authors.initials: R
authors.lastname: Maltoni
authors.forename: D
authors.initials: D
authors.lastname: Amadori
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D005260:Female; D006801:Humans; D007558:Italy; D017567:Karnofsky Performance Status; D008017:Life Expectancy; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000401:mortality*; D011379:Prognosis; D012720:Severity of Illness Index; D013727:Terminal Care / Q000706:statistics & numerical data*