title: Prognostic indexes in breast cancer: comparison of the Nottingham and Adelaide indexes.
abstract: The search for single independent prognostic factors in breast cancer has often produced conflicting results. Therefore, prognostic indexes have been compiled by combining several parameters. In this study we compare the Nottingham Prognostic Index (NPI), which is based on traditional prognostic factors (diameter of the neoplasm, lymph node status and histological grade) with the Adelaide Prognostic Index (API), which is based on the tumour diameter and two biological parameters: oestrogen receptors and cell kinetics. We considered 82 cases of breast cancer observed over the period 1987-1990 with a minimum follow-up of 60 months. The NPI gives a better definition of the prognostic profile for each patient. Our results indicate three prognostic groups (good, moderate, unfavourable), which differ with respect to disease-free survival (DFS; P=0.0024) and overall survival (OS; P=0.0033). In contrast, the API scores showed no significant correlation with OS or DFS. The use of prognostic indexes, especially when compiled using traditional parameters, is a useful aid to the clinician, since they can provide a reliable indication of how individual tumours will evolve.
authors.affiliation: Institute of Pathologic Anatomy and Histology, Division of Cancer Research, University of Perugia, Policlinico Monteluce, POB 1454, Perugia 06122, Italy. anapat1@unipg.it
authors.forename: A
authors.initials: A
authors.lastname: Sidoni
authors.forename: G
authors.initials: G
authors.lastname: Bellezza
authors.forename: A
authors.initials: A
authors.lastname: Cavaliere
authors.forename: R
authors.initials: R
authors.lastname: Del Sordo
authors.forename: M
authors.initials: M
authors.lastname: Scheibel
authors.forename: E
authors.initials: E
authors.lastname: Bucciarelli
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000401:mortality* / Q000473:pathology*; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D007558:Italy / Q000453:epidemiology; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis; D012720:Severity of Illness Index; D016019:Survival Analysis