Statistical analysis involving mortality prediction factors for the identification of prostate cancer

Authors

  • Alina Moraga Rodríguez Facultad de Medicina No. 1, Universidad de Ciencias Médicas, Santiago de Cuba
  • Larisa Zamora Matamoros Universidad de Oriente, Santiago de Cuba
  • Nelsa María Sagaró del Campo Universidad de Ciencias Médicas, Santiago de Cuba
  • Annia Moraga Rodríguez Facultad de Medicina No. 1, Universidad de Ciencias Médicas, Santiago de Cuba
  • Alina Rodríguez Griñán Hospital Provincial Docente Clinicoquirúrgico "Saturnino Lora Torres", Santiago de Cuba

Keywords:

involving statistical analysis, prostate cancer, prediction factors.

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 inSantiago 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.

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References

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Published

2018-01-11

How to Cite

1.
Moraga Rodríguez A, Zamora Matamoros L, Sagaró del Campo NM, Moraga Rodríguez A, Rodríguez Griñán A. Statistical analysis involving mortality prediction factors for the identification of prostate cancer. MEDISAN [Internet]. 2018 Jan. 11 [cited 2025 Jun. 3];22(1). Available from: https://medisan.sld.cu/index.php/san/article/view/1237

Issue

Vol. 22 No. 1 (2018): MEDISAN

Section

Original Articles

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