Table 1.
Candidate prognostic factors in the derivation and validation datasets
Variable name |
Variable |
(Definition/units) |
|
n (%) or mean (SD) |
|
|
---|---|---|---|---|---|---|
Derivation | Validation | |||||
Tumour size |
sized0 |
(≤20 mm) |
501 |
(32%) |
180 |
(26%) |
|
sized1 |
(20 to 50 mm) |
783 |
(51%) |
453 |
(66%) |
|
sized2 |
(>50 mm) |
262 |
(17%) |
53 |
(8%) |
Menopausal status |
meno |
(premenopausal) |
628 |
(41%) |
290 |
(42%) |
|
|
(postmenopausal) |
918 |
(59%) |
396 |
(58%) |
Hormone treatment |
hormon |
(no) |
1207 |
(78%) |
440 |
(64%) |
|
|
(yes) |
339 |
(22%) |
246 |
(36%) |
Age |
age |
(years) |
56.0 |
(13.0) |
53.1 |
(10.1) |
Positive lymph nodes |
nodes |
(number) |
5.2 |
(4.9) |
5.0 |
(5.5) |
Progesterone recep. |
pgr |
(fmol/l) |
156 |
(299) |
110 |
(202) |
Oestrogen recep. | er | (fmol/l) | 165 | (267) | 96 | (153) |
Values in parentheses are category percentages for categorical variables, and SD for continuous variables. Recep. = receptors.