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Vol. 69 No. 1 (2022), Research methodology

Vol. 69 No. 1 (2022)

Methodology for the elaboration of prognosis studies

Research methodology

Published 2022-07-02 — Updated on 2023-01-31

Mario Enrique Rendón-Macías⁺⁻
Ana Sofía Castillo-Ivón⁺⁻

Mario Enrique Rendón-Macías

Universidad Panamericana, Facultad de Ciencias de la Salud, Escuela de Medicina, Ciudad de México

https://orcid.org/0000-0001-7310-6656

Ana Sofía Castillo-Ivón

Universidad Panamericana, Facultad de Ciencias de la Salud, Escuela de Medicina, Ciudad de México

https://orcid.org/0000-0001-5637-2098

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Keywords

Prognostic studies
Cohorts
Prognostic factors
Study design

Abstract

Prognostic studies are investigations to estimate the risk or probability of future outcomes in people with established disease. Ideally based on cohort studies where it is established: the time of onset or analysis of the evolution of a disease, the follow-up period for the outcome of interest, the type of outcome and the prognostic factors or markers to investigate. Ultimately, the decision on how to run and analyze forecast studies will depend on their purpose: exploratory, explanatory, or predictive.

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References

Krumholz HM. Outcomes research: generating evidence for best practice and policies. Circulation. 2008;118(3):309-318. DOI: 10.1161/CIRCULATIONAHA.107.690917

Kent P, Cancelliere C, Boyle E, Cassidy JD, Kongsted A. A conceptual framework for prognostic research. BMC Med Res Methodol. 2020;20(1):172. DOI: 10.1186/s12874-020-01050-7

Hemingway H, Riley RD, Altman DG. Ten steps towards improving prognosis research. BMJ. 2009;339:b4184. DOI: 10.1136/bmj.b4184

Hemingway H, Croft P, Perel P, Hayden JA, Abrams K, Timmis A, et al. Prognosis research strategy (PROGRESS) 1: a framework for researching clinical outcomes. BMJ. 2013;346:e5595. DOI:10.1136/bmj.e5595

Villa-Romero A, Rendón-Macías ME. Estimación del pronóstico de la enfermedad. En: Moreno-Altamirando LM, editor. Epidemiología clínica. Tercera edición. México: McGraw-Hill; 2013.

Riley RD, Hayden JA, Steyerberg EW, Moons KGM, Abrams K, Kyzas PA, et al; PROGRESS Group. Prognosis Research Strategy (PROGRESS) 2: prognostic factor research. PLoS Med. 2013;10(2): e1001380. DOI: 10.1371/journal.pmed.1001380.

Thiese MS. Observational and interventional study design types: an overview. Biochemia Med. 2014;24(2):199-210. DOI: 10.11613/BM.2014.022

Hayden JA, Côté P, Steenstra IA, Bombardier C, QUIPS-LBP working Group. Identifying phases of investigation helps planning, appraising, and applying the results of explanatory prognosis studies. J Clin Epidemiol. 2008;61(6):552-560. DOI: 10.1016/j.jclinepi.2007.08.005

Sackett DL. Clinical epidemiology. Am J Epidemiol. 1969;89(2):125-128. DOI: 10.1093/oxfordjournals.aje.a120921

Hayden JA, van der Windt DA, Cartwright JL, Côte P, Bombardier C. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158(4):280-286. DOI: 10.7326/0003-4819-158-4-201302190-00009

Mak K, Kiong-Kum Ch. How to appraise a prognostic study. World J Surg. 2005;29(5):567-569. DOI: 10.1007/s00268-005-7914-x.

Idrayan A, Bansal AK. The methods of survival analysis for clinicians. Indian Pediatrics. 2010;47(9):743-748. DOI:10.1007/s13312-010-0112-4

Szklo M, Nieto J. Epidemiology beyond the basic. EE. UU.: Aspen; 2000.

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