Zhao et al reported a nomogram for predicting survival of a patient with thymoma. This can help to identify a patient who may require more aggressive management. The authors are from Fudan University in Shanghai.
Patient selection: thymoma (histology A, AB, B1, B2, B3)
Parameters:
(1) age in years
(2) stage
(3) size in cm
(4) surgery
(5) chemotherapy
Parameter |
Finding |
Points |
age in years |
< 40 years |
0.10 |
|
40 to 49 years |
0 |
|
50 to 59 years |
1.67 |
|
60 to 69 years |
5.25 |
|
>= 70 years |
10 |
stage |
I or IIA |
0 |
|
IIB |
2.85 |
|
III or IV |
6.91 |
|
unknown |
3.9 |
size in cm |
< 6.6 cm |
0 |
|
>= 6.6 cm |
1.59 |
|
unknown |
4.68 |
surgery |
total resection |
0 |
|
debulking |
2.47 |
|
radical resection |
2.65 |
|
simple or partial resection |
3.02 |
chemotherapy |
no |
0 |
|
yes |
2.29 |
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score:0
• maximum score: 26.9
• The higher the score the worse the survival.
value of X =
= (-0.0019783 * ((score)^2)) - (0.11536 * (score)) + 3.4661
probability of 5-year survival =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve was 0.71 in the resampling cohort and 0.75 in the validation cohort.
Specialty: Hematology Oncology