Biomaterial Database

Bronchial carcinoma: factors influencing postoperative survival. 1984

M D Clee, and N F Hockings, and R N Johnston

In a retrospective survey of 337 patients who had a resection for bronchial carcinoma data were obtained on 14 preoperative and two operative variables. Factors significantly adversely influencing survival were weight loss, chest pain, raised erythrocyte sedimentation rate, tumour larger than 5 cm, cell type other than squamous, pneumonectomy and tumour spread to hilar lymph nodes. Multiple regression analysis showed that four variables, weight loss, pain, tumour size and cell type had significant independent effects on survival. From the regression equations predicted median (50%) survival, varying from 9 to 95 months was calculated and tested on a series of 49 patients undergoing resection since completion of the survey. The correlation between overall observed and predicted median survival was highly significant (P less than 0.001). The prediction equation was more accurate for patients with a predicted survival of less than 30 months if cell type was known. Classification using the prediction equations may improve patient selection for surgery.

UI	MeSH Term	Description	Entries
D008175	Lung Neoplasms	Tumors or cancer of the LUNG.	Cancer of Lung,Lung Cancer,Pulmonary Cancer,Pulmonary Neoplasms,Cancer of the Lung,Neoplasms, Lung,Neoplasms, Pulmonary,Cancer, Lung,Cancer, Pulmonary,Cancers, Lung,Cancers, Pulmonary,Lung Cancers,Lung Neoplasm,Neoplasm, Lung,Neoplasm, Pulmonary,Pulmonary Cancers,Pulmonary Neoplasm
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D011184	Postoperative Period	The period following a surgical operation.	Period, Postoperative,Periods, Postoperative,Postoperative Periods
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002283	Carcinoma, Bronchogenic	Malignant neoplasm arising from the epithelium of the BRONCHI. It represents a large group of epithelial lung malignancies which can be divided into two clinical groups: SMALL CELL LUNG CANCER and NON-SMALL-CELL LUNG CARCINOMA.	Carcinoma, Bronchial,Bronchial Carcinoma,Bronchial Carcinomas,Bronchogenic Carcinoma,Bronchogenic Carcinomas,Carcinomas, Bronchial,Carcinomas, Bronchogenic
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000206	Actuarial Analysis	The application of probability and statistical methods to calculate the risk of occurrence of any event, such as onset of illness, recurrent disease, hospitalization, disability, or death. It may include calculation of the anticipated money costs of such events and of the premiums necessary to provide for payment of such costs.	Analysis, Actuarial,Actuarial Analyses,Analyses, Actuarial
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults