How accurate are physicians' clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review
E. Chow et al., How accurate are physicians' clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review, CL ONCOL-UK, 13(3), 2001, pp. 209-218
The purpose of this review was to examine the accuracy of physicians' clini
cal predictions of survival and the available prognostic tools in estimatin
g survival times in terminally ill cancer patients. A MEDLINE search for En
glish language articles published between 1966 and March 2000 was performed
using the following keywords: forecasting/; clinical prediction, prognosis
/prognostic factors, survival and neoplasm metastasis. Searches in CancerLi
t, EMBASE, PubMed, the Cochrane Library and reference sections of articles
were performed. Studies were included if they concerned adult patients with
various cancer histological diagnoses and employed clinical prediction and
the readily available clinical parameters. Biochemical and molecular marke
rs were excluded. Grading of the evidence and recommendations was performed
.
Twelve articles on clinical prediction and 19 on prognostic factors met the
inclusion criteria. Clinical prediction tends to be incorrect in the optim
istic direction but improves with repeated measurements. Performance status
has been found to be most strongly correlated with the duration of surviva
l, followed by the 'terminal syndrome', which includes anorexia, weight los
s and dysphagia. Cognitive failure and confusion have also been associated
with a shorter life span. Performance status combined with clinical symptom
s and the clinician's estimate helps to guide an accurate prediction, as re
viewed in an Italian series.
There is fair evidence to support using performance status, and clinical an
d biochemical parameters, in addition to clinicians' judgement to aid survi
val prediction. However, there is weak evidence to support that clinicians'
estimates alone could be specifically employed for survival prediction.