Dataset Information

Search filters to identify geriatric medicine in Medline.

ABSTRACT:

Objectives

To create user-friendly search filters with high sensitivity, specificity, and precision to identify articles on geriatric medicine in Medline.

Design

A diagnostic test assessment framework was used. A reference set of 2255 articles was created by hand-searching 22 biomedical journals in Medline, and each article was labeled as 'relevant', 'not relevant', or 'possibly relevant' for geriatric medicine. From the relevant articles, search terms were identified to compile different search strategies. The articles retrieved by the various search strategies were compared with articles from the reference set as the index test to create the search filters.

Measures

Sensitivity, specificity, precision, accuracy, and number-needed-to-read (NNR) were calculated by comparing the results retrieved by the different search strategies with the reference set.

Results

The most sensitive search filter had a sensitivity of 94.8%, a specificity of 88.7%, a precision of 73.0%, and an accuracy of 90.2%. It had an NNR of 1.37. The most specific search filter had a specificity of 96.6%, a sensitivity of 69.1%, a precision of 86.6%, and an accuracy of 89.9%. It had an NNR of 1.15.

Conclusion

These geriatric search filters simplify searching for relevant literature and therefore contribute to better evidence-based practice. The filters are useful to both the clinician who wants to find a quick answer to a clinical question and the researcher who wants to find as many relevant articles as possible without retrieving too many irrelevant articles.

SUBMITTER: van de Glind EM

PROVIDER: S-EPMC3341784 | biostudies-literature | 2012 May-Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Search filters to identify geriatric medicine in Medline.

van de Glind Esther M M EM van Munster Barbara C BC Spijker René R Scholten Rob J P M RJ Hooft Lotty L

Journal of the American Medical Informatics Association : JAMIA 20110923 3

<h4>Objectives</h4>To create user-friendly search filters with high sensitivity, specificity, and precision to identify articles on geriatric medicine in Medline.<h4>Design</h4>A diagnostic test assessment framework was used. A reference set of 2255 articles was created by hand-searching 22 biomedical journals in Medline, and each article was labeled as 'relevant', 'not relevant', or 'possibly relevant' for geriatric medicine. From the relevant articles, search terms were identified to compile d ...[more]

PMID: 21946235

Similar Datasets

Project description:BackgroundCluster randomized trials (CRTs) present unique methodological and ethical challenges. Researchers conducting systematic reviews of CRTs (e.g., addressing methodological or ethical issues) require efficient electronic search strategies (filters or hedges) to identify trials in electronic databases such as MEDLINE. According to the CONSORT statement extension to CRTs, the clustered design should be clearly identified in titles or abstracts; however, variability in terminology may make electronic identification challenging. Our objectives were to (a) evaluate sensitivity ("recall") and precision of a well-known electronic search strategy ("randomized controlled trial" as publication type) with respect to identifying CRTs, (b) evaluate the feasibility of new search strategies targeted specifically at CRTs, and (c) determine whether CRTs are appropriately identified in titles or abstracts of reports and whether there has been improvement over time.MethodsWe manually examined a wide range of health journals to identify a gold standard set of CRTs. Search strategies were evaluated against the gold standard set, as well as an independent set of CRTs included in previous systematic reviews.ResultsThe existing strategy (randomized controlled trial.pt) is sensitive (93.8%) for identifying CRTs, but has relatively low precision (9%, number needed to read 11); the number needed to read can be halved to 5 (precision 18.4%) by combining with cluster design-related terms using the Boolean operator AND; combining with the Boolean operator OR maximizes sensitivity (99.4%) but would require 28.6 citations read to identify one CRT. Only about 50% of CRTs are clearly identified as cluster randomized in titles or abstracts; approximately 25% can be identified based on the reported units of randomization but are not amenable to electronic searching; the remaining 25% cannot be identified except through manual inspection of the full-text article. The proportion of trials clearly identified has increased from 28% between the years 2000-2003, to 60% between 2004-2007 (absolute increase 32%, 95% CI 17 to 47%).ConclusionsCRTs should include the phrase "cluster randomized trial" in titles or abstracts; this will facilitate more accurate indexing of the publication type by reviewers at the National Library of Medicine, and efficient textword retrieval of the subset employing cluster randomization.

Dataset Information

Search filters to identify geriatric medicine in Medline.

Objectives

Design

Measures

Results

Conclusion

Publications

Search filters to identify geriatric medicine in Medline.

Similar Datasets

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