Vol. 71 No. 5 (2019)
Documents

Cohort studies. 1st part. Description, methodology and applications

Paulina Salazar F.
Universidad de La Frontera
Carlos Manterola
Universidad de La Frontera
Bio
Guissela Quiroz S.
Universidad de La Frontera
Nayely García M.
Universidad de La Frontera
Tamara Otzen H.
Universidad de La Frontera
Miriann Mora V.
Universidad de La Frontera; Universidad del Azuay
Galo Duque P.
Universidad de La Frontera; Universidad del Azuay

Published 2019-10-13

How to Cite

1.
Salazar F. P, Manterola C, Quiroz S. G, García M. N, Otzen H. T, Mora V. M, et al. Cohort studies. 1st part. Description, methodology and applications. Rev Cir. [Internet]. 2019 Oct. 13 [cited 2026 Sep. 4];71(5). Available from: https://revistacirugia.cl/index.php/revistacirugia/article/view/431

Abstract

Cohort studies (CS) are longitudinal, observational and analytical studies. As one of the most utilized designs in clinical research, CS provides high levels of evidence, depending on the type of scenario in which they are applied. The objectives of CS are to determine the association between an exposure factor and the development of a disease or event of interest, based on the estimation of risks. Additionally, CS aim to provide insight into the natural history or the clinical course of an event of interest as well as generate results with regard to determine survival; study protective studies and prognostic factors. CS have various applications, for example: epidemiological outbreak research, causality studies, evaluation of educational interventions, etc. Theoretically, the method to generate the best approximations is through the use of a prospective CS; however, these usually require long periods of time performing follow-up to obtain useful results; therefore, it is possible to use other strategies, such as retrospective CS among others, which may be more feasible with respect to resources and monitoring times. The aim of this manuscript was to generate a document with reference to the description, methodology and applications of the CS in health sciences