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. Author manuscript; available in PMC: 2016 Feb 28.
Published in final edited form as: Cancer Control. 2015 Oct;22(4):489–497. doi: 10.1177/107327481502200415

Table 2. Three Approaches to Clinician Prediction of Survival.

Aspects Temporal
Question10,32
Surprise
Question29,30
Probabilistic
Question10,32
Question How long will
this patient live?
Would I be
surprised if this
patient died in
(specific time
frame)?
What is the
probability of
survival within a
specific time
frame
Answer Specific time
frame
Yes or no 0% to 100% (at
10%
increments)
Definition of an
accurate
response
If estimated time
frame was ±
33% of actual
survival
If “no” answer
and patient died
within specified
time frame or

If “yes” answer
patient
remained alive
by specified
time frame
If answered ≤
30% probability
and patient died
within specified
time frame or

If answered ≥
70% probability
and patient
remained alive
by specified
time frame
Accuracy 20%–30% 76%–88% (1
year time
frame)
53%–91% (6
months to 24-h
time frames)
Advantage Simple, quick
Intuitive to
provide
Understand
Simple, quick
Intuitive to
understand
Simple, quick
Disadvantage Subjective
Unclear if time
frame
represents the
average/median,
maximal or
minimal
May be difficult
emotionally to
provide a
specific number
Subjective
Time frame
dependent
The threshold
for “surprise”
may vary by
individual
Yes/no answer
only
Subjective
Time frame
dependent
Probability
needs to be
interpreted