A population survival model for breast cancer.
Breast cancer is a major health problem, and disease control depends on an effective healthcare system. A registry-based tool to monitor the quality of breast cancer care could be useful. The aim of this study was to develop a population survival model for breast cancer based on the Nottingham Prognostic Model (NPM). To this end, 1452 cases of breast cancer diagnosed in the Umbria Region, Italy, during the period 1994-1996 were studied. An extensive search for routinely available variants in prognosis and treatment was performed. In about 80% of cases complete information on factors included in the NPM was available. The Cox model was used to assess the prognostic value of study factors. Nodal stage was the most important prognostic factor. In women who did not undergo axillary dissection (17%) the risk of death was twice that in women with no affected nodes, but they received chemotherapy with the same frequency. Radiotherapy was also less frequently used in this group. Grading was a significant prognostic factor only when women over 80 were excluded. Population survival models based on data from cancer registries may provide a tool that can be used to evaluate healthcare systems and the effectiveness of interventions. The inclusion of older women in our models decreased the significance of many established prognostic factors because of the frequency of incomplete evaluation and less aggressive treatment in these patients. Not undergoing surgical axillary dissection was associated with a worse prognosis and with less aggressive treatment.
Stracci
F
F
Department of Hygiene and Public Health, University of Perugia, Umbria Cancer Registry, Via del Giochetto, 06122 Perugia, Italy. fabs@unipg.it
La Rosa
F
F
Falsettini
E
E
Ricci
E
E
Aristei
C
C
Bellezza
G
G
Bolis
G B
GB
Fenocchio
D
D
Gori
S
S
Rulli
A
A
Mastrandrea
V
V
D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000401:mortality* / Q000628:therapy; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008875:Middle Aged; D009367:Neoplasm Staging; D011379:Prognosis; D012042:Registries / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D016019:Survival Analysis