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Comparison of previously published search strategies with search strategies developed our database. Values are percentages. |
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| Search Strategy OVID search* |
Sensitivity |
Specificity |
Precision |
Accuracy |
|
|
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| Bachmann's most sensitive search [22] sensitiv:.tw. OR detect:.tw. OR accura:.tw. OR specific:.tw. OR reliab:.tw. OR positive.tw. OR negative.tw. OR diagnos:.tw. |
100.0 |
Not reported |
Not reported |
|
| Bachmann's strategy tested in our database |
96.9 |
72.3 |
1.2 |
72.4 |
| Our most sensitive search di.fs. OR predict:.tw. OR specificity.tw. |
100.0 |
70.4 |
1.2 |
70.5 |
| Difference (our strategy – Bachmann) 95% CI for the difference |
3.1 -0.8 to 8.7† |
-1.9 -2.7 to -1.2‡ |
0 |
-1.9 -2.7 to -1.2‡ |
| Bachmann's most specific search sensitiv:.tw. OR detect:.tw. |
73.7 |
Not reported |
Not reported |
|
| Bachmann's strategy tested in our database |
79.4 |
90.9 |
3.0 |
90.8 |
| Our most specific search specificity.tw. |
62.9 |
98.2 |
11.0 |
98.1 |
| Difference (our strategy – Bachmann) 95% CI for the difference |
-16.5 -28.9 to -3.8‡ |
7.3 7.0 to 7.7‡ |
8.0 5.6 to 11.0‡ |
7.3 6.9 to 7.7‡ |
|
*Search strategies are reported using Ovid's search engine syntax for EMBASE. †Differences are not statistically significant. ‡Differences are statistically significant. : = truncation; tw = textword (word or phrase appears in title or abstract); di = diagnosis; fs = floating subheading. Sensitivity = the proportion of high quality articles for that topic that are retrieved; specificity = the proportion of low quality articles not retrieved; precision = the proportion of retrieved articles that are of high quality; accuracy = the proportion of all articles that are correctly classified. | ||||
Wilczynski et al. BMC Medicine 2005 3:7 doi:10.1186/1741-7015-3-7 |
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