Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™
<p>Abstract</p> <p>Background</p> <p>Many recently published clinical studies report sex-specific data. This information may help to improve clinical decision-making for both sexes, but it is not easily accessible in MEDLINE. The aim of this project was to develop and v...
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doaj-6bb8edfd9631456eb98b530bb383f1b42020-11-24T21:43:40ZengBMCBMC Medical Research Methodology1471-22882009-04-01912510.1186/1471-2288-9-25Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™Haafkens Joke ADeurenberg RikieMoerman Clara J<p>Abstract</p> <p>Background</p> <p>Many recently published clinical studies report sex-specific data. This information may help to improve clinical decision-making for both sexes, but it is not easily accessible in MEDLINE. The aim of this project was to develop and validate a search filter that would facilitate the retrieval of studies reporting high quality sex-specific data on clinical questions.</p> <p>Methods</p> <p>A filter was developed by screening titles, abstracts and Medical Subject Headings (MeSH) in a set of 80 high quality and relevant papers, 75 of which were identified through a review of clinical guidelines and five through other means. The filter, for use on OvidSP™, consists of nine command lines for searching free text words in the title, abstract and MeSH of a paper. It was able to identify 74/80 (92.5%) of the articles from which it was derived. The filter was evaluated in a set of 622 recently published original studies on Alzheimer's disease and on asthma. It was validated against a reference of 98 studies from this set, which provided high quality, clinically relevant, sex-specific evidence. Recall and precision were used as performance measures.</p> <p>Results</p> <p>The filter demonstrated 81/98 (83%) recall and 81/125 (65%) precision in retrieving relevant articles on Alzheimer's disease and on asthma. In comparison, only 30/98 (31%) recall would have been achieved if sex-specific MeSH terms only had been used.</p> <p>Conclusion</p> <p>This sex-specific search filter performs well in retrieving relevant papers, while its precision rate is good. It performs better than a search with sex-specific MeSH. The filter can be useful to anyone seeking sex-specific clinical evidence (e.g., guideline organizations, researchers, medical educators, clinicians).</p> http://www.biomedcentral.com/1471-2288/9/25 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haafkens Joke A Deurenberg Rikie Moerman Clara J |
spellingShingle |
Haafkens Joke A Deurenberg Rikie Moerman Clara J Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™ BMC Medical Research Methodology |
author_facet |
Haafkens Joke A Deurenberg Rikie Moerman Clara J |
author_sort |
Haafkens Joke A |
title |
Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™ |
title_short |
Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™ |
title_full |
Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™ |
title_fullStr |
Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™ |
title_full_unstemmed |
Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP™ |
title_sort |
locating sex-specific evidence on clinical questions in medline: a search filter for use on ovidsp™ |
publisher |
BMC |
series |
BMC Medical Research Methodology |
issn |
1471-2288 |
publishDate |
2009-04-01 |
description |
<p>Abstract</p> <p>Background</p> <p>Many recently published clinical studies report sex-specific data. This information may help to improve clinical decision-making for both sexes, but it is not easily accessible in MEDLINE. The aim of this project was to develop and validate a search filter that would facilitate the retrieval of studies reporting high quality sex-specific data on clinical questions.</p> <p>Methods</p> <p>A filter was developed by screening titles, abstracts and Medical Subject Headings (MeSH) in a set of 80 high quality and relevant papers, 75 of which were identified through a review of clinical guidelines and five through other means. The filter, for use on OvidSP™, consists of nine command lines for searching free text words in the title, abstract and MeSH of a paper. It was able to identify 74/80 (92.5%) of the articles from which it was derived. The filter was evaluated in a set of 622 recently published original studies on Alzheimer's disease and on asthma. It was validated against a reference of 98 studies from this set, which provided high quality, clinically relevant, sex-specific evidence. Recall and precision were used as performance measures.</p> <p>Results</p> <p>The filter demonstrated 81/98 (83%) recall and 81/125 (65%) precision in retrieving relevant articles on Alzheimer's disease and on asthma. In comparison, only 30/98 (31%) recall would have been achieved if sex-specific MeSH terms only had been used.</p> <p>Conclusion</p> <p>This sex-specific search filter performs well in retrieving relevant papers, while its precision rate is good. It performs better than a search with sex-specific MeSH. The filter can be useful to anyone seeking sex-specific clinical evidence (e.g., guideline organizations, researchers, medical educators, clinicians).</p> |
url |
http://www.biomedcentral.com/1471-2288/9/25 |
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