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Titolo:
Considerations of psychosocial illness phase in cancer survival
Autore:
Clipp, EC; Hollis, DR; Cohen, HJ;
Indirizzi:
Vet Adm Med Ctr, Geriatr Res Educ & Clin Ctr 182, Durham, NC 27705 USA VetAdm Med Ctr Durham NC USA 27705 & Clin Ctr 182, Durham, NC 27705 USA Duke Univ, Med Ctr, Dept Med, Div Geriatr, Durham, NC 27710 USA Duke UnivDurham NC USA 27710 Dept Med, Div Geriatr, Durham, NC 27710 USA Duke Univ, Med Ctr, Ctr Comprehens Canc, Durham, NC 27710 USA Duke Univ Durham NC USA 27710 , Ctr Comprehens Canc, Durham, NC 27710 USA Duke Univ, Med Ctr, Ctr Study Aging & Human Dev, Durham, NC 27710 USA DukeUniv Durham NC USA 27710 udy Aging & Human Dev, Durham, NC 27710 USA
Titolo Testata:
PSYCHO-ONCOLOGY
fascicolo: 2, volume: 10, anno: 2001,
pagine: 166 - 178
SICI:
1057-9249(200103/04)10:2<166:COPIPI>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Soggetto:
QUALITY-OF-LIFE; LUNG-CANCER; PROGNOSTIC FACTORS; PERFORMANCE STATUS; CLINICAL COURSE; BREAST-CANCER; CARCINOMA; DISEASE; CLASSIFICATION; EXPERIENCE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
49
Recensione:
Indirizzi per estratti:
Indirizzo: Clipp, EC Vet Adm Med Ctr, Geriatr Res Educ & Clin Ctr 182, 508 Fulton St,Durham, NC 27705 USA Vet Adm Med Ctr 508 Fulton St Durham NC USA 27705 , NC 27705 USA
Citazione:
E.C. Clipp et al., "Considerations of psychosocial illness phase in cancer survival", PSYCHO-ONC, 10(2), 2001, pp. 166-178

Abstract

Rarely are biomedical, clinical and psychosocial data considered simultaneously as influences on cancer patient outcomes. This study utilized medicalrecord and interview data from 152 adult cancer patients with various tumor types in a model of survival estimation. Predictors included disease stage of the neoplasm (TNM stage), clinical functioning of the patient (Karnofsky performance status), and psychosocial demands of the disease course (psychosocial illness phase). Psychosocial illness phase captures developmentaltime phases of illness (i.e. 'crisis', 'early chronic', 'late chronic' and'terminal'), essentially locating patients along the disease course relative to treatment and treatment response. The analysis utilized the Kaplan-Meier (product-limit) method to estimate stratum specific survival functions. Model comparisons employed the differences in the likelihood ratio chi-squares between nested models, and Cox proportional hazard models assisted in explaining the effects of the predictors on survival times. Results indicate that psychosocial illness phase makes an independent contribution to survival time estimation (p < 0.05) when all three dimensions are considered simultaneously. Copyright (C) 2001 John Wiley Ltd. Sons, Ltd.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 01/06/20 alle ore 01:16:38