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Riesgo relativo y Odds ratio ¿Qué son y cómo se interpretan?

ABSTRACT RESUMEN El Odds ratio (OR) y riesgo relativo (RR) corresponden a medidas de asociación, para variables nominales dicotómicas. El OR ha sido ampliamente utilizado por la investigación biomédica, las razones para ello serían: 1) El OR determina un estimado (con intervalo de confianza) para las relaciones entre variables dicotómicas binarias, ofrece una interpretación más ade-cuada en términos de eficacia. 2) El OR es utilizable para examinar el efecto de otras variables sobre las relaciones usando la regresión logística. 3) El OR tiene una especial y conveniente interpretación en el caso de estudios caso-control. Palabras clave: Odds ratio, Riesgo relativo. SUMMARY The odds ratio (OR) and relative risk (RR) are measures of association for dichotomous nomi-nal variables. The OR has been widely used for biomedical research, the reasons for this are: 1) The OR determines an estimate (with confidence interval) for relations between binary dummy variables, the interpretation most appropriate in terms of effectiveness. 2) The OR is used to examine the effect of other variables using logistic regression. 3) The OR has special knowledge and interpretation in the case of case-control studies Key words: Odds ratio, Relative risk.

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    09/2013; 20(3):128–140. DOI:10.1016/S0121-8123(13)70125-7
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    [Show abstract] [Hide abstract]
    ABSTRACT: For the development of health and economic policies in the health system, it is necessary for decision making is based on evidence. The development of new technologies for health care has increased in recent decades, allowing the appearance, fastest growing, multi-drug alternatives for handling the same pathology, given the number of interventions is essential to compare all relevant specially through controlled clinical trials, to evaluate and determine the best alternative in terms of benefits, fewer side effects and costs. However, due to the absence of this type of study due to its high cost, indirect comparisons of treatments such as networks of meta-analysis and mixed treatment comparisons provide a useful tool for selecting the best treatment option. This review provides guidance on the interpretation of indirect comparisons, methods, assumptions, validity, analysis methods, benefits and limitations in order to provide sufficient tools for proper decision-making in health.
    09/2013; 20(3):128-140.

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Mar 3, 2015

DOI: 10.13140/2.1.4654.6886