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Dictionary of Evidence-based Medicine.pdf

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<strong>Dictionary</strong> <strong>of</strong> <strong>Evidence</strong>-<strong>based</strong> <strong>Medicine</strong> 101<br />

Maryland, USA. The thesaurus is used to create the Index Medicus, a directory<br />

<strong>of</strong> major scientific publications. The MeSH thesaurus has approximately<br />

18 000 main subjects and is regularly updated. Table 4 gives the<br />

main subject classification.<br />

Table 4 MeSH classification<br />

A<br />

B<br />

C<br />

D<br />

E<br />

F<br />

G<br />

H<br />

I<br />

J<br />

K<br />

L<br />

M<br />

N<br />

Z<br />

Anatomy<br />

Organism<br />

Diseases<br />

Drugs and chemical products<br />

Analytical, diagnostic and therapeutic techniques and equipment<br />

Psychiatry and psychology<br />

Biological sciences<br />

Physical sciences<br />

Anthropology, education, sociology and social phenomena<br />

Technology, industry, agriculture and food<br />

Humanities<br />

Information sciences and communication<br />

Named groups<br />

Health<br />

Geographical names<br />

Meta-anaiysis<br />

Meta-analysis refers to the systematic quantitative pooling <strong>of</strong> available<br />

evidence on a particular research question with the use <strong>of</strong> appropriate<br />

statistical methods. As such, it forms part <strong>of</strong> many systematic overviews.<br />

In the context <strong>of</strong> drug efficacy, clinical trial evidence is sought systematically<br />

and the relevant efficacy outcome data extracted. The data are then<br />

pooled using suitable weights such as sample variance or sample size. The<br />

pooled estimate <strong>of</strong> efficacy is then presented with the appropriate confidence<br />

bounds to define its precision. Although in medicine, meta-analysis<br />

is most widely used for pooling experimental data from randomized<br />

clinical trials (RCTs), observational data have also been meta-analysed.<br />

Methodology for incorporating observational data in meta-analyses <strong>of</strong><br />

RCTs is also available but is not generally adopted.<br />

Most meta-analyses are undertaken on the summary data reported<br />

in the individual trials being pooled and it is usually not possible to check<br />

on any inconsistencies. However, in certain circumstances, the records <strong>of</strong><br />

the clinical trialists may be particularly good and the network exists<br />

for obtaining the individual patient data for revalidation (e.g. cancer<br />

clinical trial networks). A meta-analysis undertaken with revalidation and

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