Description

Park et al developed a model for predicting outcome for a patient with a nonsmall cell cancer of the lung treated with gefitinib as salvage therapy. These can help identify patients likely to benefit from the use of this drug. The authors are from Sungkyunkwan University in Seoul, Korea.


 

Patient selection: nonsmall cell lung cancer requiring salvage therapy, not ECOG 4

 

Parameters:

(1) ECOG performance scale

(2) intra-abdominal metastases

(3) serum alkaline phosphatase concentration

(4) time from diagnosis to gefitinib therapy in months

(5) serum albumin

(6) progression-free interval after previous chemotherapy

(7) white blood cell count

(8) smoking history

Parameter

Finding

Points

ECOG performance scale

0 or 1

0

 

2 or 3

1

intra-abdominal metastases

absent

0

 

present

1

serum alkaline phosphatase

normal

0

 

elevated

1

time from diagnosis to gefitinib

=> 12 months

0

 

< 12 months

1

serum albumin

>= 3.5 grams/dL

0

 

< 3.5 g/dL

1

progression free interval

>= 12 weeks

0

 

< 12 weeks

1

white blood cell count

<= 10,000 per µL

0

 

>10,000 per µL

1

smoking history

never smoker

0

 

ever smoker

1

 

total score =

= SUM(points for all 8 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 8

• The higher the score the worse the prognosis.

 

Total Score

Risk Group

Median Survival

100% Mortality

0 or 1

low, good

18 months

> 72 months

2 or 3

intermediate

12 months

60 months

4 or 5

poor

4 months

38 months

6 to 8

very poor

1.3 months

11 months

from Figure 2, page 1522

 


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