Dictionary of Evidence-based Medicine.pdf
Dictionary of Evidence-based Medicine.pdf
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