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Titolo:
CURED FRACTION AND SURVIVAL-TIME AS FUNCTIONS OF THICKNESS, SITE, HISTOLOGIC TYPE, AGE, AND SEX
Autore:
GAMEL JW; GEORGE SL; STANLEY WE; SEIGLER HF;
Indirizzi:
301 E MUHAMMAD ALI BLVD LOUISVILLE KY 40292 VET ADM MED CTR LOUISVILLE KY 40202 UNIV LOUISVILLE,DEPT OPHTHALMOL LOUISVILLE KY 40292 DUKE UNIV,MED CTR,DEPT BIOSTAT DURHAM NC 27710 DUKE UNIV,MED CTR,DUKE COMPREHENS CANC CTR DURHAM NC 27710 DUKE UNIV,MED CTR,DEPT SURG DURHAM NC 27710
Titolo Testata:
Cancer
fascicolo: 4, volume: 72, anno: 1993,
pagine: 1219 - 1223
SICI:
0008-543X(1993)72:4<1219:CFASAF>2.0.ZU;2-G
Fonte:
ISI
Lingua:
ENG
Keywords:
SKIN MELANOMA; LOGNORMAL MODEL; CURED FRACTION; SURVIVAL TIME; TUMOR THICKNESS; PROGNOSTIC COVARIATES;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
7
Recensione:
Indirizzi per estratti:
Citazione:
J.W. Gamel et al., "CURED FRACTION AND SURVIVAL-TIME AS FUNCTIONS OF THICKNESS, SITE, HISTOLOGIC TYPE, AGE, AND SEX", Cancer, 72(4), 1993, pp. 1219-1223

Abstract

Background. Previously, nonparametric or semiparametric methods have been used to determine the relationship of various prognostic covariates with survival of skin cancer. Unfortunately, these methods do not readily distinguish between factors that modulate cure and those that modulate survival time among uncured patients. Methods. The multivariate lognormal model can be used to detect the association of cured fraction and median survival time with specific prognostic covariates. Thismodel was applied to survival data from 2004 patients with skin melanoma using the following prognostic covariates: thickness, site, and histologic type of the tumor and sex and age of the patient. Results. This analysis revealed that a low cured fraction was associated with thick lesions and location other than trunk or extremity, whereas a shortmedian survival time was associated with thick lesions and tumor located on the trunk. Advanced age was highly associated only with short median survival time. Conclusion. The lognormal survival model offers insight into the biology of skin melanoma by distinguishing the roles played by likelihood of cure and survival time. The differential associations of various covariates with these two parameters suggest that biologic mechanisms that govern cure are not identical to those that govern survival time.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 28/11/20 alle ore 08:53:54