Survival Estimation in Clinical Research with Methods for Its Calculation in Patients with Renal Transplants

Authors

Keywords:

Supervivencia, análisis de supervivencia, Kaplan-Meier, Cox.

Abstract

Introduction: Survival analysis is a set of statistical procedures for data analysis. The best-known methods that allow censoring in survival are Kaplan-Meier curves and Cox proportional hazards model.

Objective: To describe the concepts of survival analysis and the different approaches

used for the analysis of the time elapsed until the occurrence of a certain event.

Methods: A bibliographic review of the main articles published in PubMed, Hinari, SciELO, and Google Scholar databases was carried out, 22 articles met the selection criteria.

Results: The tables and graphs presented are original, generated with IBM Statistical Package for the Social Sciences 22.0 software, based on data from a cohort of 689 kidney transplant patients, performed during the period 1985-2019 in the Nephrology Service at Hermanos Ameijeiras Clinical Surgical Hospital. In order to present the examples in the calculations, all kidney transplant patients were used. Kaplan Meier methods, the Log Rank calculation and Cox regression were presented, all were performed with a 95% confidence interval and an α of 0.05.

Conclusions: Survival analysis has been consolidated as crucial research methodology in the medical field, so the observation time is important. Among the statistical models that allow estimating the time of occurrence of a phenomenon in a given population is survival analysis.

Keywords: survival; survival analysis; Kaplan-Meier; Cox.

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Author Biographies

Antonio Díaz Machado, Hospital Clínico Quirúrgico Docente Hermanos Ameijeiras

Graduado de médico en 1996, Especialista de Primer grado en Bioestadística. Profesor Asistente, Aspirante a investigador. Trabajo actualmente en el Departamento de Investigaciones del Hospital Hermanos Ameijeiras.

Ángela Rosa Gutiérrez Rojas, Hospital Hermanos Ameijeiras.

Estomatóloga, especialista de segundo grado en Bioestadística, Master en Bioética y Jefe del Departamento de Investigaciones, con una experiencia de más de 30 años de trabajo.

Alejandro Jesús Areu Regateiro, Hospital Hermanos Ameijeiras.

Especialista de II Grado en Medicina Intensiva y emergencias. Master en Bioética.

Mercedes Herrera Vilches, Hospital Hermanos Ameijeiras.

Médico especialista de segundo grado en Nefrología.

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Published

2025-05-06

How to Cite

1.
Machado AD, Gutiérrez Rojas Ángela R, Areu Regateiro AJ, Herrera Vilches M. Survival Estimation in Clinical Research with Methods for Its Calculation in Patients with Renal Transplants. Rev Cubana Med [Internet]. 2025 May 6 [cited 2025 Jul. 8];64. Available from: https://revmedicina.sld.cu/index.php/med/article/view/3596

Issue

Vol. 64 (2025): publicación continua

Section

Original articles

License

Copyright (c) 2025 Antonio Díaz Machado, Ángela Rosa Gutiérrez Rojas, Alejandro Jesus Areu Regateiro, Mercedes Herrera Vilches

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