Resumo

SAGARO DEL CAMPO, Nelsa María; ZAMORA MATAMOROS, Larisa  e  BARTUTIS BONNE, Milka Tanya. Identification of possible causal factors in health applying the “ASI-IMC” methodology. Multimed [online]. 2021, vol.25, n.4  Epub 05-Jul-2021. ISSN 1028-4818.

Once the “ASI-IMC” methodology that allows a correct application of the statistical analysis implicated in the causality studies in medicine was designed, it was applied in said studies. A study of prognostic factors of mortality in breast cancer was chosen as an example. In order to evaluate the effectiveness of the employment methodology of the statistical analysis implicit in the identification of possible causal factors; a prospective analytical observational study of cases and controls nested in a cohort was conducted, whose study universe was made up of all women over 18 years of age with the clinical and histological diagnosis of breast cancer, from the province from Santiago de Cuba, treated at the “Conrado Benítez” Oncology Hospital, between 2014 and 2019 with a sample of 140 cases and 140 controls, using 25 covariates as supposed prognostic factors and applying the first 5 stages of the employment methodology of the implicative statistical analysis in causation studies in medicine. Biomarker determination was identified as factors of good prognosis in breast cancer patients, while, of poor prognosis classified advanced stage and chemotherapy directly, as well as tumor size and metastasis, indirectly. The methodology used allowed the identification of possible causal factors in the research presented, demonstrating once again its effectiveness.

Palavras-chave : Implicit statistical analysis; Prognostic factors; Breast cancer.

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