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Statistical Methods in Medical Research 4ed

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18.10 Meta-analysis<br />

Glass (1976) def<strong>in</strong>ed meta-analysis as `the statistical analysis of a large collection<br />

of analysis results from <strong>in</strong>dividual studies for the purpose of <strong>in</strong>tegrat<strong>in</strong>g<br />

the f<strong>in</strong>d<strong>in</strong>gs'. The etymology of the term can be criticized, but it is used<br />

more widely than competitors, such as overviews. To most scientists it would<br />

seem self-evident that all the available evidence on a particular question should<br />

be comb<strong>in</strong>ed; any failure to do so runs the risk of imprecision and selection bias.<br />

Meta-analyses of cl<strong>in</strong>ical trial results were rare before about 1980, and there are<br />

various reasons for their late appearance. There has often been a paucity of<br />

precisely replicated trials, <strong>in</strong> contrast to the general scientific dictum that results<br />

are to be treated with scepticism unless they can be repeated. Repetition of trials<br />

with positive outcomes has often been regarded as <strong>in</strong>volv<strong>in</strong>g unethical randomization,<br />

whilst repetition of negative studies has been rejected as not worthwhile.<br />

These objections gradually became less persuasive. Replication of trials with<br />

positive results was often regarded as ethically permissible, on the grounds that<br />

m<strong>in</strong>or differences <strong>in</strong> protocol or <strong>in</strong> patient characteristics might affect the outcome;<br />

and replication of negative trials (for which there was no objection on<br />

medical ethical grounds) became more feasible as resources <strong>in</strong>creased, mak<strong>in</strong>g it<br />

possible to build a more precise picture of treatment efficacy.<br />

We are concerned here primarily with meta-analysis of cl<strong>in</strong>ical trials, but it<br />

may be noted that the <strong>in</strong>tegration of study results is an active feature of other<br />

branches of medical research, such as epidemiological surveys (§19.4), diagnostic<br />

tests (§19.9) and bioassay (§20.1), none of which present the ethical features<br />

of cl<strong>in</strong>ical trials. Non-medical areas of scientific research <strong>in</strong> which methods<br />

of meta-analysis are used <strong>in</strong>clude agricultural field trials and educational<br />

research.<br />

The present account is necessarily brief. More extensive accounts are given <strong>in</strong><br />

the special journal issues edited by Yusuf et al. (1987) and Spitzer (1995), that of<br />

<strong>Statistical</strong> <strong>Methods</strong> <strong>in</strong> <strong>Medical</strong> <strong>Research</strong> (1993, Volume 2, No. 2), the booklet<br />

edited by Chalmers and Altman (1995) (who use the term systematic review <strong>in</strong> a<br />

rather more general sense), and many review articles, such as Jones (1995) and<br />

Thompson (1998).<br />

Plann<strong>in</strong>g<br />

18.10 Meta-analysis 641<br />

The plann<strong>in</strong>g of a meta-analysis needs almost as much thought as that of a s<strong>in</strong>gle<br />

trial, and the rules of procedure should be formalized <strong>in</strong> a protocol. There are<br />

differences <strong>in</strong> practice between different practitioners, but there would be fairly<br />

wide agreement on the follow<strong>in</strong>g general pr<strong>in</strong>ciples.<br />

1 The data from different trials should be kept separate, so that treatment<br />

contrasts derived from <strong>in</strong>dividual trials are pooled, rather than the

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