A multivariate prospective study of prognostic factors in non-small-cell lung carcinoma (NSCLC): the results at 5 years

We present the results of a 5-year prospective study of 153 patients with a diagnosis of bronchogenic carcinoma (BC) who underwent curative surgery. Clinical and anatomical variables were analyzed by multiple regression analysis for prediction of death. Among the anatomical variables, the most signi...

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Bibliographic Details
Published in:Archivos de bronconeumología 1994-03, Vol.30 (3), p.124-130
Main Authors: Durán Cantolla, J, García Castrillo, L, González Macías, J J, Agüero Balbín, R, Carbajo Carbajo, M, Ortega Morales, F J, Hernández Alonso, M, Ondiviela Gracia, R
Format: Article
Language:Spanish
Subjects:
Adult
Aged
Carcinoma, Non-Small-Cell Lung - mortality
Carcinoma, Non-Small-Cell Lung - pathology
Carcinoma, Non-Small-Cell Lung - surgery
Combined Modality Therapy
Humans
Lung Neoplasms - mortality
Lung Neoplasms - pathology
Lung Neoplasms - surgery
Middle Aged
Multivariate Analysis
Neoplasm Staging
Prognosis
Proportional Hazards Models
Prospective Studies
Spain - epidemiology
Survival Analysis
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Summary:We present the results of a 5-year prospective study of 153 patients with a diagnosis of bronchogenic carcinoma (BC) who underwent curative surgery. Clinical and anatomical variables were analyzed by multiple regression analysis for prediction of death. Among the anatomical variables, the most significant were the following: stages of anatomical spread (p < or = 0.00000), ganglionic state (p < or = 0.00000), type for surgery (curative or non-curative) (p < or = 0.00000) and state of tumor (p = 0.00012). Significant clinical variables were clinical stage by Feinstein's classification (p = 0.00037), functional capacity (ECOG scale) (p = 0.01196) and tumor size measured conventionally (p = 0.01196). These variables were entered into a multivariate model for prognostic prediction in order to determine the patient's relative risk over time. The best combination of anatomical variables was obtained by associating the stages of spread and ganglionic state (chi 2 = 34.24; p = < 0.00000); the best combination of clinical variables was clinical stage and tumor size (chi 2 = 17.37; p = 0.00023). Thus, although the anatomical variables are more important than clinical ones, the latter have independent prognostic value, are easy to obtain and are available before surgery. They therefore represent an alternative to prognosis based on anatomical spread.
ISSN:0300-2896