Description

Zisis et al identified prognostic factors affecting survival in a patient with a thymic epithelial tumor following complete surgical resection. These can help identify a patient who may benefit from closer monitoring and more aggressive therapy. The authors are from the University of Athens and multiple hospitals in Athens.


 

Patient selection: thymic epithelial tumor that has undergone complete resection

 

Parameters identified on multivariate analysis:

(1) age of the patient at the time of surgical resection

(2) recurrent

(3) WHO histologic type

(4) Masaoka stage

 

Parameter

Finding

Points

WHO histologic type

A, AB, B1

0

 

B2, B3

1

Masaoka stage

I

0

 

II, III or IV

1

recurrence

no

0

 

yes

1

 

where:

• The survival in patients with Masaoka Stage IV disease was better than that for patients with Stage III disease. This may be due to selection bias (requirement for complete resection) and/or more aggressive management.

• The WHO histologic type and Masaoka stage were strongly correlated. Multivariate analysis was conducted excluding one or the other.

 

The risk increased with increasing age at the time of surgery (hazard ratio 1.03 per year). The mean age for patients who died was 58 years (Table 4, page 1060). The minimum age in the group was 17 years, which may be the baseline for determining risk. There are several possible choices for determining a cutoff for age. I will use the mean age (58) in the implementation.

 

number of prognostic factors adversely affecting survival =

= SUM(points for all 4 parameters)

 

Interpretation:

• minimum number of adverse prognostic factors: 0

• maximum number of adverse prognostic factors: 3 or 4 (depending on whether or not the WHO histologic type and Masaoka grade are counted separately)

• The lower the number of risk factors the better the survival.

 


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