Description

Chow et al developed a model for predicting survival by a cancer patient who is receiving palliative radiotherapy. The authors are from Princess Margaret Hospital and the University of Toronto in Canada.


 

Prognostic scores:

(1) simple sum of risk factors

(2) survival prediction score (SPS)

 

Parameters:

(1) type of cancer

(2) sites of metastases

(3) Karnofsky Performance Scale (KPS)

(4) fatigue score on a scale of 0 to 10

(5) decreased appetite score on scale of 0 to 10

(6) shortness of breath score on a scale of 0 to 10

 

Parameter

Finding

Points

type of cancer

breast

0

 

non-breast

1

sites of metastases

bone only

0

 

other than bone only

1

KPS

> 50

0

 

<= 50

1

fatigue

none or mild (0 to 3)

0

 

moderate to severe (score 4 - 10)

1

decreased appetite

none to moderate (0 to 7)

0

 

severe (8 to 10)

1

shortness of breath

none (score 0)

0

 

mild to severe (1 to 10)

1

 

simple score =

= SUM(points for all 6 parameters)

 

 

Parameter

Finding

Points

type of cancer

breast

0

 

prostate

5

 

lung

6

 

other

7

sites of metastases

bone only

0

 

other than bone only

6

KPS

> 50

0

 

<= 50

6

fatigue

none or mild (0 to 3)

0

 

moderate (4 to 7)

4

 

severe (8 to 10)

5

decreased appetite

none to moderate (0 to 7)

0

 

severe (8 to 10)

4

shortness of breath

none (score 0)

0

 

mild (1 to 3)

2

 

moderate to severe (4 to 10)

4

 

survival prediction score =

= SUM(points for all 6 parameters)

 

Interpretation:

• minimum scores: 0

• maximum simple score: 6

• maximum SPS: 32

• The higher the scores the worse the survival

 

Simple Score

SPS

Prognostic Group

0 to 3

0 to 13

fair (A)

4

14 to 19

guarded (B)

5 or 6

20 to 32

poor (C)

 

 

Prognostic Group

Simple Score 52 Week Survival

SPS 52 Week Survival

fair (A)

53%

53%

guarded (B)

28%

19%

poor (C)

10%

5%

 


To read more or access our algorithms and calculators, please log in or register.