2019
DOI: 10.1634/theoncologist.2018-0613
|View full text |Cite
|
Sign up to set email alerts
|

Accuracy and Prognostic Significance of Oncologists’ Estimates and Scenarios for Survival Time in Advanced Gastric Cancer

Abstract: Background Worst‐case, typical, and best‐case scenarios for survival, based on simple multiples of an individual's expected survival time (EST), estimated by their oncologist, are a useful way of formulating and explaining prognosis. We aimed to determine the accuracy and prognostic significance of oncologists’ estimates of EST, and the accuracy of the resulting scenarios for survival time, in advanced gastric cancer. Materials and Methods Sixty‐six oncologists estimated the EST at baseline for each of the 152… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

1
11
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(12 citation statements)
references
References 17 publications
1
11
0
Order By: Relevance
“…It is, for instance, not necessarily the case that a prediction of three weeks’ survival should be judged to be inaccurate if the patient in fact dies after four weeks. Some authors have suggested that temporal predictions of survival should therefore be adjudged accurate if they fall in the range 67%-133% of actual survival [ 15 , 24 , 25 ]. Or maybe, for reasons discussed above, a more clinically meaningful range of accuracy could be defined as 0%-133% since patients who die earlier than expected still die within the upper bound of the prognostic estimate.…”
Section: Discussionmentioning
confidence: 99%
“…It is, for instance, not necessarily the case that a prediction of three weeks’ survival should be judged to be inaccurate if the patient in fact dies after four weeks. Some authors have suggested that temporal predictions of survival should therefore be adjudged accurate if they fall in the range 67%-133% of actual survival [ 15 , 24 , 25 ]. Or maybe, for reasons discussed above, a more clinically meaningful range of accuracy could be defined as 0%-133% since patients who die earlier than expected still die within the upper bound of the prognostic estimate.…”
Section: Discussionmentioning
confidence: 99%
“…There is a growing body of evidence about the accuracy of clinician predictions of survival. In preparation for this review, the authors identified two relevant systematic reviews [10, 11 •• ] and ten further articles published in the last 4 years (summarised in Table 1) [20][21][22][23][24][25][26][27][28][29].…”
Section: Clinical Prognostic Estimatesmentioning
confidence: 99%
“…For example, should a prediction of 12 weeks be considered "accurate" if the patient dies 2 weeks before or after this? For specific temporal predictions, a common approach is to regard a prognosis as accurate if actual survival falls within ± 33% of the prediction [20,21,25,30]. One limitation of this definition is that the magnitude of the absolute permissible error is small when the estimated prognosis is short and is fairly large when the estimated prognosis is longer.…”
Section: Clinical Prognostic Estimatesmentioning
confidence: 99%
“…To illustrate this, we pooled data from six studies of participants with a range of advanced cancers, in which we could compare their medical oncologist’s estimate of expected survival time (median survival time in a group of similar patients) versus the actual survival time that was subsequently observed 7‐12 . We have previously reported that these estimates of expected survival time were imprecise, with less than 30% of participants having estimates within 0.67–1.33 times their observed survival time, but well calibrated (unbiased), with about equal proportions of participants living longer or shorter than their expected survival time 7,8,13‐15 . Of the 1057 participants, 182 had an expected survival time of less than 6 months, and of these, 127 (70%) died within 6 months.…”
mentioning
confidence: 99%