Hum et al reported the Prognostic Model for Advanced Cancer (PRO-MAC). This can help to predict survival of a patient with advanced cancer. The authors are from Tan Tock Seng Hospital and the Singapore Clinical Research Institute.
Patient selection: patient with advanced cancer at a tertiary care hospital
Parameters:
(1) Palliative Performance Status version 2 (PPS)
(2) Edmonton Symptom Assessment System (ESAS)
(3) number of organ systems with metastases
(4) serum albumin in g/L
(5) total white blood cell count in 10^9/L
Parameters
Finding
Points
organ systems with metastases
0 to 2
0
3 or 4
1
PPS
70 to 100%
0
40 to 60%
1
10 to 30%
4
ESAS
0 to 9
0
10 to 18
1.5
19 to 46
2.5
total WBC count
1 to 13 * 10^9
0
> 13 * 10^9/L
1.5
serum albumin
>= 23 g/L
0
< 23 g/L
1.5
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: 10.5
Score
Risk Group
Median Survival
0 to 1.5
low
79 days
2 to 5.5
medium
42 days
6 to 10.5
high
15 days
Performance:
• The area under the ROC curve was between 0.69 and 0.75.
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