Background: In most studies, authors recommend the use of independent varia
bles in clinical decision-making, but no guidelines are given about how to
use all the extracted information. Materials and Methods: By combining two
or three prognostically independent variables and using their relative prog
nostic impact (results from Cole analyses), a novel way of identifying high
- and low-risk groups was developed. A total of 336 women with stage I-II e
ndometrial carcinoma of medium or high risk were included. Twenty-one clini
co- pathological variables, were initially studied in univariate analyses a
nd significant variables were used for the construction of prognostic indic
es. Six prognostic indices were constructed, which then were used to calcul
ate individual index values for each patient Results: The index values were
highly prognostic and used for the identification of a limited high-risk g
roup (10% of the patients) and a large low-risk group (90% of the patients)
. Indices 1-3 were constructed for pre-treatment situations and included ag
e, degree of differentiation nuclear grade and S-phase fraction in various
combinations. They identified a high- and a low-risk group with a 5-year di
sease-specific survival of 31-37% and 74-79%, respectively. Indices 4 and 5
were constructed using variables available after treatment and index 6 for
patients with no evidence of disease (NED) after treatment completion. The
5-year survival for the latter indices were 30-52% and 75-85%, respectivel
y. Conclusion: The use of prognostic indices in different clinical situatio
ns was generally superior to the use of single variables for the identifica
tion of well-defined high- and low- risk groups.