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DOI: 10.1136/bmj.316.7124.61
¤ OpenAccess: Green
This work has “Green” OA status. This means it may cost money to access on the publisher landing page, but there is a free copy in an OA repository.
meta-analysis bias in location and selection of studies
Matthias Egger,George Davey Smith
Computer science
Selection (genetic algorithm)
Selection bias
1998
Meta-analysis has received a mixed reception since the outset. Some people have rejected what they see as exercises in “mega-silliness,”1 while the purveyors of a highly distinguished series of meta-analyses of perinatal medical care2 have been dismissed as “an obstetrical Baader-Meinhof gang.”3 To some clinicians objecting to the findings of meta-analyses, “a tool has become a weapon.”4 At the other end of the spectrum, the application of a technique that basically consists of calculating a weighted average has been hailed as “Newtonian,”5 and it has been suggested that meta-analysis has left no place for the narrative review article.6 The truth is likely to lie somewhere between these extreme views.
#### Summary points
That meta-analysis holds potential problems can be illustrated by contrasting the conclusions of two meta-analyses comparing low molecular weight heparins and standard heparin in the prevention of thrombosis after surgery.7 8 One group concluded that “low molecular weight …
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“meta-analysis bias in location and selection of studies” is a paper by Matthias Egger George Davey Smith published in 1998. It has an Open Access status of “green”. You can read and download a PDF Full Text of this paper here.