Tuesday, 21 June 2016


It is a statistical process by which the results of several studies, frequently randomized clinical trials, are combined to develop a single estimate of the effect of an intervention, treatment, or exposure on disease [1]. It is a specific type of systematic analysis which uses a quantitative method to combine data from two or more studies. It is a series of systematic methods for combining data from more than one investigation in order to draw conclusions that could not be drawn from a single investigation [2]. Therefore, every meta-analysis should be based on an underlying systematic review, but not every systematic review leads to a meta-analysis [3]. It gives a pretty good idea about the best trand to go with, which is supported by multiple studies, with larger number of patients (by Dr. Nabil Mobarek, Medical Advisor Oncology at Eli Lilly and Company).
Bibliographic references:
[1] Balcer, L. (n.d.). Basic Epidemiologic and Biostatistics Terminology. [online] Available at: http://content.lib.utah.edu:81/cgi-bin/showfile.exe?CISOROOT=/ehsl-nam&CISOPTR=1175&filename=1176.pdf [Accessed 20 Jun. 2016].
[2] Riegelman, R. (2005). Most Frequently Used Terms in Biostatistics. In: Studying a study and testing a test. Philadelphia: Lippincott Williams & Wilkins, pp.1-38.
[3] Researchcore.org. (2016). ResearchCore.org - What is the difference between a "systematic review" and a "meta-analysis"?. [online] Available at: http://www.researchcore.org/faq/answers.php?recID=5 [Accessed 21 Jun. 2016].

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