Discriminant analysis in predicting survival of patients with cancer of the larynx or hypopharynx.
In order to assess the feasibility of computer-assisted prognostication, step-wise discriminant analysis was applied to data retrospectively obtained from 243 patients who underwent surgery for cancer of the larynx. In all, 62 variables were studied in each patient. Ninety-four out of 243 patients had complete information on the 62 variables studied. With data from these 94 patients a linear discriminant function was obtained, with an overall accuracy of 87.2%. The rate of correct prediction was 84.6% for cancer recurrence, and 88.2% for survival without recurrence. Only 11 variables of the 62 used for analysis were necessary to obtain these results. This paper confirms the usefulness of multivariate analysis in clinical practice.
Gavilán
J
J
Department of Otorhinolaryngology, La Paz Hospital, Universidad Autonoma, Madrid, Spain.
Gavilán
C
C
Mañós-Pujol
M
M
Herranz
J
J
D002294:Carcinoma, Squamous Cell / Q000401:mortality* / Q000601:surgery; D006801:Humans; D007012:Hypopharyngeal Neoplasms / Q000401:mortality* / Q000601:surgery; D007822:Laryngeal Neoplasms / Q000401:mortality* / Q000601:surgery; D008207:Lymphatic Metastasis; D009364:Neoplasm Recurrence, Local / Q000401:mortality; D010610:Pharyngeal Neoplasms / Q000401:mortality*; D011183:Postoperative Complications / Q000401:mortality; D011379:Prognosis; D012307:Risk Factors