Optimal search strategies for retrieving scientifically strong studies of diagnosis from Medline: analytical survey.
OBJECTIVE
To develop optimal search strategies in Medline for retrieving sound clinical studies on the diagnosis of health disorders.


METHODS
Analytical survey.


METHODS
Medline, 2000.


METHODS
170 journals for 2000 of which 161 were indexed in Medline.


METHODS
The sensitivity, specificity, precision ("positive predictive value"), and accuracy of 4862 unique terms in 17,287 combinations were determined by comparison with a hand search of all articles (the "gold standard") in 161 journals published during 2000 (49,028 articles).


RESULTS
Only 147 (18.9%) of 778 articles about diagnostic tests met basic criteria for scientific merit. Combinations of search terms reached peak sensitivities of 98.6% at a specificity of 74.3%. Compared with best single terms, best multiple terms increased sensitivity for sound studies by 6.8% (absolute increase), while also increasing specificity (absolute increase 6.0%) when sensitivity was maximised. When terms were combined to maximise specificity, the single term, specificity.tw. (98.4%), outperformed combinations of terms. The strategies newly reported in this paper outperformed other validated search strategies except for one strategy that had slightly higher sensitivity (99.3% v 98.6%) but lower specificity (54.7% v 74.3%).


CONCLUSIONS
New empirical search strategies in Medline can optimise retrieval of articles reporting high quality clinical studies of diagnosis.
Haynes
R Brian
RB
Health Information Research Unit, Department of Clinical Epidemiology and Biostatistics, McMaster University Faculty of Health Sciences, 1200 Main Street West, Hamilton, ON, L8N 3Z5, Canada. bhaynes@mcmaster.ca
Wilczynski
Nancy L
NL
D016247:Information Storage and Retrieval / Q000592:standards*; D016239:MEDLINE / Q000592:standards; D012680:Sensitivity and Specificity; D013358:Subject Headings