Meta-analysis versus large single trials

by Harri Hemilä

This text is based on pp 32-33 of Hemilä (2006)
These documents have up to date links to documents that are available via the net.
Harri Hemilä
Department of Public Health
University of Helsinki, Helsinki, Finland
harri.hemila@helsinki.fi

Home: http://www.mv.helsinki.fi/home/hemila

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Version May 29, 2012



In addition to the meta-analysis of intravenous magnesium in acute myocardial infarction, there are several other examples of misleading conclusions from meta-analyses. LeLorier et al. (1997) compared the results of 12 large trials with meta-analyses published earlier on the same topic, finding that the meta-analyses would have led to the adoption of an inefficient treatment in 32% of cases, and to the rejection of a useful treatment in 33% of cases.

When large trials were compared with other large trials on the same topic, agreement among them was approximately as low as that reported by LeLorier et al. between meta-analyses and large trials, and thus Furukawa et al. (2000) concluded that taking large randomized trials as the ‘gold standard’ can be problematic, and there is "no substitute for clear and hard thinking for a study, be it meta-analysis or a megatrial." Horwitz (1987), who analyzed 36 topics on which controlled trials led to discrepant results, also considered that the ‘gold standard’ status of randomized trials is misleading as the results depend substantially on the settings, such as clinical heterogeneity among patients enrolled in the trials, varying protocols across the trials, etc. When Poynard et al. (2002) compared the ‘survival of conclusions’ from meta-analyses with the conclusions from non-randomized studies and randomized trials, they found that meta-analysis was conclusively the poorest of the three for producing viable conclusions. It seems possible that meta-analysis is used on average less on topics on which large studies have shown clearly negative or positive findings, and in this respect the poor ‘survival of conclusions’ may reflect the topics that are studied better than the method per se.

References

Furukawa TA, Streiner DL, Hori S (2000) Discrepancies among megatrials. J Clin Epidemiol 53:1193-9

Horwitz RI (1987) Complexity and contradiction in clinical trial settings. Am J Med 82:498-510  * see also: J Clin Epidemiol (1995);48:41-4 

LeLorier J, Gregoire G, Benhaddad A, Lapierre J, Derderian F (1997) Discrepancies between meta-analyses and subsequent large randomized controlled trials. N Engl J Med 337:536-42 * comments in: (1997);337:559-61 (1998);338:59-62 and JAMA (1998);280:518-9 

Poynard T, Munteanu M, Ratziu V, et al. (2002) Truth survival in clinical research: an evidence-based requiem? Ann Intern Med 136:888-95  * comments in: (2002):137:932 
 


Copyright: © 2006-2009 Harri Hemilä. This text is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  

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Vitamin C and infections in animals by Harri Hemilä is licensed under a Creative Commons Attribution 1.0 Finland License.
Based on a work at www.mv.helsinki.fi/home/hemila/metaanalysis



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