作者: Gianfranco Buccheri , Domenico Ferrigno , Ferruccio Vola
DOI: 10.1016/0169-5002(93)90306-I
关键词: Medicine 、 Squamous-cell carcinoma of the lung 、 Oncology 、 Univariate analysis 、 Malignancy 、 Internal medicine 、 Pathology 、 Stage (cooking) 、 Multivariate analysis 、 Carcinoembryonic antigen 、 Respiratory disease 、 Tissue Polypeptide Antigen 、 Cancer research 、 Pulmonary and Respiratory Medicine
摘要: Abstract Multivariate models of survival have been established for both small cell and non-small lung cancers. So far, no study has focussed on squamous types. Previous demonstrations the prognostic value tissue polypeptide antigen (TPA) and, partially, carcinoembryonic (CEA) are based univariate analyses survival. These do not account other factors. In present study, we report combined influence various clinical biological characteristics duration 360 patients with a newly diagnosed carcinoma lung. The comprised 29 variables, including age, sex, smoking habit (SH), symptoms at diagnosis, Karnofsky performance status (KPS), weight loss (WL), radiological findings, disease extent parameters (DEP), CEA TPA. Preliminary showed that 20 variables were survival-related. Cox proportional hazards regression analysis selected stage disease, KPS, TPA, WL, existence bone metastases, SH as independent factors prognosis (global chi-square: 122.40, P = 0.0000). A second multivariate analysis, performed same covariates but excluding DEP, revealed previous pulmonary diseases to be in addition SH, WL next most influential determinants. Also cancer, classifications Cox's prediction equation may improve individual counseling patient selection therapeutic trials. this malignancy, TPA shows an strong significance while shares informations diverse seems less important.