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Titolo:
PREDICTION OF SURVIVAL IN BREAST-CANCER - EVALUATION OF DIFFERENT MULTIVARIATE MODELS
Autore:
COLLAN Y; KUMPUSALO L; PESONEN E; ESKELINEN M; PAJARINEN P; KETTUNEN K;
Indirizzi:
UNIV TURKU,DEPT PATHOL,KIINAMYLLYNKATU 10 FIN-20520 TURKU FINLAND UNIV KUOPIO,DEPT PATHOL FIN-70211 KUOPIO FINLAND UNIV KUOPIO,DEPT APPL MATH FIN-70211 KUOPIO FINLAND UNIV KUOPIO,DEPT SURG FIN-70211 KUOPIO FINLAND KANTA HAME CENT HOSP,DEPT SURG FIN-13530 HAMEENLINNA FINLAND
Titolo Testata:
Anticancer research
fascicolo: 1B, volume: 18, anno: 1998,
pagine: 647 - 650
SICI:
0250-7005(1998)18:1B<647:POSIB->2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
PROGNOSTIC FACTORS; MITOTIC INDEX; FOLLOW-UP; PROLIFERATION; PARAMETERS;
Keywords:
BREAST CANCER; PROGNOSTIC MODELS; PROGNOSIS; AXILLARY NODAL STATUS; MITOTIC INDEX; TUMOR SIZE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
30
Recensione:
Indirizzi per estratti:
Citazione:
Y. Collan et al., "PREDICTION OF SURVIVAL IN BREAST-CANCER - EVALUATION OF DIFFERENT MULTIVARIATE MODELS", Anticancer research, 18(1B), 1998, pp. 647-650

Abstract

Background. We compared the performance of multivariate models based on mitotic activity index, lymph node status, and tumor size in the prognostication of breast cancer. Material and methods. Cox and discriminant models for survival were created for two patient groups: a) 120 breast cancer patients, and b) 86 patients with ductal infiltrating carcinoma. The models were compared with the model of Baak et al (1985). Results. The models distinguished between dying and surviving patientswith an efficiency of 70.9 - 77.9 % in mutual tests. With a single cutoff the model of Baak et al was less efficient (50.8 - 65.8 %). If a region of uncertainty was allowed between two cutpoints, the efficiencies below and above the cutpoints increased. When the uncertain regionincluded a third of the patients, the efficiency varied between 73.8 and 84.7 %. Conclusion. Multivariate models seem to need a region of uncertainty between two discriminating cutpoints These models resulted in the correct prediction of prognosis in about 75% and more of patients. With different materials the models differed in efficiency With a region of uncertainty the model of Baak et al performed well with completely independent material.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/11/20 alle ore 22:02:41