Moraga RA, Zamora ML, Sagaró CNM, Moraga RA, Rodríguez GA

Language: Spanish
References: 0
Page: 48-56
PDF size: 417.31 Kb.

ABSTRACT

An observational and analytic investigation was carried out, from September, 2013 to the same month in 2014, with the purpose of evaluating the usefulness of a new technique of involving statistical analysis for the identification of mortality prediction factors for prostate cancer in Santiago de Cuba. According to the logistical regression, the factors that worsened the prediction in the patients with prostate cancer were the ganglionar disorder and the grade III of the histological differentiation, and according to the involving statistical analysis, the ganglionic disorder, the metastasis and complications. The involving statistical analysis supplemented the logistical regression in the identification of the prediction factors, with which a better understanding of the causation was achieved and there was an increase in the quality of this type of study.