BACKGROUND: Since the course of @entity0 is often unpredictable, we wished to develop a model using characteristics of the primary @entity5 alone to predict prognosis. METHODS: Several @entity5 features were determined, and after a median follow-up duration of 65 months, multivariate analysis identified @entity5 size and grade, @entity2931 receptor concentration, axillary lymph node @entity3 and @entity5 cell proliferation fraction ( @entity1758 count) as being independently associated with increases in risk for both relapse and @entity204 from @entity0 . A prognostic model was constructed using @entity5 size and grade, @entity2931 receptor concentration and @entity1758 count only. A score of 1 for each was given to @entity5 size > 20 mm, @entity5 grade 2 or 3, @entity2931 receptor concentration < 10 fmol/mg cytosol protein and @entity1758 count > 9%. Five groups established by assigning a combined score of 0, 1, 2, 3 or 4 for each @entity1 were analysed for their associations with disease-free and overall survivals. RESULTS: This preliminary model predicted 5-year survival rates of 97, 91, 85, 68 and 50% for the five groups. The model was further simplified by excluding @entity5 grade from the analysis. The revised model identified four risk groups with predicted 5-year survival rates of 91, 86, 66 and 52%. This model, the Adelaide prognostic index, was also able to identify four risk groups in both node-negative and node-positive @entity1 . CONCLUSIONS: The Adelaide prognostic index can be used to predict prognosis even in the absence of axillary lymph node information.

A simple index to predict prognosis independent of axillary node information in XXXX .

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer'] @entity2931 :: ('CHEBI:50114', 'Chemical') :: ['oestrogen'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumour'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastasis'] @entity1758 :: ('57534', 'Gene') :: ['MIB-1'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity0 :: (MESH:D001943,Disease) :: ['breast cancer']
