Complementary approaches to searching MEDLINE may be sufficient for updating systematic reviews

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DOIResolve DOI: http://doi.org/10.1016/j.jclinepi.2016.03.004
AuthorSearch for: ; Search for: ; Search for: ; Search for:
TypeArticle
Journal titleJournal of Clinical Epidemiology
ISSN0895-4356
SubjectInformation retrieval; Systematic reviews; Support vector machine; Clinical query; PubMed similar articles; MEDLINE
AbstractOBJECTIVES To maximize the proportion of relevant studies identified for inclusion in systematic reviews (recall), complex time-consuming Boolean searches across multiple databases are common. Although MEDLINE provides excellent coverage of health science evidence, it has proved challenging to achieve high levels of recall through Boolean searches alone. STUDY DESIGNE AND SETTING Recall of one Boolean search method, the clinical query (CQ), combined with a ranking method, support vector machine (SVM), or PubMed-related articles, was tested against a gold standard of studies added to 6 updated Cochrane reviews and 10 Agency for Healthcare Research and Quality (AHRQ) evidence reviews. For the AHRQ sample, precision and temporal stability were examined for each method. RESULTS Recall of new studies was 0.69 for the CQ, 0.66 for related articles, 0.50 for SVM, 0.91 for the combination of CQ and related articles, and 0.89 for the combination of CQ and SVM. Precision was 0.11 for CQ and related articles combined, and 0.11 for CQ and SVM combined. Related articles showed least stability over time. CONCLUSIONS The complementary combination of a Boolean search strategy and a ranking strategy appears to provide a robust method for identifying relevant studies in MEDLINE.
Publication date
PublisherElsevier
LanguageEnglish
In pressYes
Peer reviewedYes
IdentifierS0895435616300166
NPARC number23000342
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Record identifier6b5e526b-028e-4ef6-a829-7fe1cd320a97
Record created2016-07-08
Record modified2016-07-08
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