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Kaplan-Meier Survival Analysis: Practical Insights for Clinicians

António Gomes, Bruna Costa, Rita Marques, Vitor Nunes, Constança Coelho

2024Acta Médica Portuguesa33 citationsDOIOpen Access PDF

Abstract

This article aims to provide a guide that will help healthcare professionals and clinical researchers from all fields that deal with Kaplan-Meier curves. Survival analysis methods are among the most frequently used in the medical sciences and in clinical research. Overall survival, progression free survival, time to recurrence, or any other clinically relevant parameter represented by a Kaplan-Meier curve will be discussed. We will present a practical and straightforward interpretation of these curves, setting aside intricate mathematical considerations. Our focus will be on essential concepts that interface with biological sciences and medicine in order to guarantee proficiency in one of the most popular yet frequently misunderstood methods in clinical research. Being familiar with these concepts is not only essential for designing new clinical studies but also for critically assessing and interpreting published data.

Topics & Concepts

Survival analysisSurvival of the fittestInterpretation (philosophy)Focus (optics)Management scienceAsideMedicineComputer sciencePsychologyEngineeringSurgeryOpticsEvolutionary biologyPhysicsLiteratureBiologyProgramming languageArtMicroRNA in disease regulationStatistical Methods and InferenceLiver Disease Diagnosis and Treatment
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