Filtering Medline for a clinical discipline: diagnostic test assessment framework

Objective To develop and test a Medline filter that allows clinicians to search for articles within a clinical discipline, rather than searching the entire Medline database.Design Diagnostic test assessment framework with development and validation phases.Setting Sample of 4657 articles published in...

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Veröffentlicht in:BMJ 2009-09, Vol.339 (7724), p.795-795
Hauptverfasser: Garg, Amit X, Iansavichus, Arthur V, Wilczynski, Nancy L, Kastner, Monika, Baier, Leslie A, Shariff, Salimah Z, Rehman, Faisal, Weir, Matthew, McKibbon, K Ann, Haynes, R Brian
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container_end_page 795
container_issue 7724
container_start_page 795
container_title BMJ
container_volume 339
creator Garg, Amit X
Iansavichus, Arthur V
Wilczynski, Nancy L
Kastner, Monika
Baier, Leslie A
Shariff, Salimah Z
Rehman, Faisal
Weir, Matthew
McKibbon, K Ann
Haynes, R Brian
description Objective To develop and test a Medline filter that allows clinicians to search for articles within a clinical discipline, rather than searching the entire Medline database.Design Diagnostic test assessment framework with development and validation phases.Setting Sample of 4657 articles published in 2006 from 40 journals.Reviews Each article was manually reviewed, and 19.8% contained information relevant to the discipline of nephrology. The performance of 1 155 087 unique renal filters was compared with the manual review.Main outcome measures Sensitivity, specificity, precision, and accuracy of each filter.Results The best renal filters combined two to 14 terms or phrases and included the terms “kidney” with multiple endings (that is, truncation), “renal replacement therapy”, “renal dialysis”, “kidney function tests”, “renal”, “nephr” truncated, “glomerul” truncated, and “proteinuria”. These filters achieved peak sensitivities of 97.8% and specificities of 98.5%. Performance of filters remained excellent in the validation phase.Conclusions Medline can be filtered for the discipline of nephrology in a reliable manner. Storing these high performance renal filters in PubMed could help clinicians with their everyday searching. Filters can also be developed for other clinical disciplines by using similar methods.
doi_str_mv 10.1136/bmj.b3435
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The performance of 1 155 087 unique renal filters was compared with the manual review.Main outcome measures Sensitivity, specificity, precision, and accuracy of each filter.Results The best renal filters combined two to 14 terms or phrases and included the terms “kidney” with multiple endings (that is, truncation), “renal replacement therapy”, “renal dialysis”, “kidney function tests”, “renal”, “nephr” truncated, “glomerul” truncated, and “proteinuria”. These filters achieved peak sensitivities of 97.8% and specificities of 98.5%. Performance of filters remained excellent in the validation phase.Conclusions Medline can be filtered for the discipline of nephrology in a reliable manner. Storing these high performance renal filters in PubMed could help clinicians with their everyday searching. Filters can also be developed for other clinical disciplines by using similar methods.</description><identifier>ISSN: 0959-8138</identifier><identifier>ISSN: 0959-535X</identifier><identifier>EISSN: 1468-5833</identifier><identifier>EISSN: 1756-1833</identifier><identifier>DOI: 10.1136/bmj.b3435</identifier><identifier>PMID: 19767336</identifier><identifier>CODEN: BMJOAE</identifier><language>eng</language><publisher>England: British Medical Journal Publishing Group</publisher><subject>Bibliographic data bases ; Citations ; Clinical assessment ; Clinical Diagnostic Tests ; Diabetes ; Diabetic neuropathy ; Diagnostic tests ; Discipline ; Fluid Electrolyte and Acid-Base Disturbances ; Hepatitis ; Immunization ; Information search ; Internet ; Kidney diseases ; Kidneys ; Medical diagnostic tests ; Medical Subject Headings-MeSH ; Medicine ; MEDLINE - standards ; Nephrology ; Proteinurea ; Retrieval performance measures ; Search strategies ; Sensitivity ; Sensitivity and Specificity ; Studies ; Subject heading schemes ; Urological Surgery ; Urology</subject><ispartof>BMJ, 2009-09, Vol.339 (7724), p.795-795</ispartof><rights>2009 BMJ Publishing Group Ltd</rights><rights>Copyright BMJ Publishing Group LTD Sep 18, 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b521t-11a8c2101e40618417d68f3d2dd139ad442d3797995610833d6240fbee0606953</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bmj.com/content/339/bmj.b3435.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttp://bmj.com/content/339/bmj.b3435.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>114,115,230,314,777,781,800,882,3183,23552,27905,27906,30981,57998,58231,77349,77380</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19767336$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Garg, Amit X</creatorcontrib><creatorcontrib>Iansavichus, Arthur V</creatorcontrib><creatorcontrib>Wilczynski, Nancy L</creatorcontrib><creatorcontrib>Kastner, Monika</creatorcontrib><creatorcontrib>Baier, Leslie A</creatorcontrib><creatorcontrib>Shariff, Salimah Z</creatorcontrib><creatorcontrib>Rehman, Faisal</creatorcontrib><creatorcontrib>Weir, Matthew</creatorcontrib><creatorcontrib>McKibbon, K Ann</creatorcontrib><creatorcontrib>Haynes, R Brian</creatorcontrib><title>Filtering Medline for a clinical discipline: diagnostic test assessment framework</title><title>BMJ</title><addtitle>BMJ</addtitle><description>Objective To develop and test a Medline filter that allows clinicians to search for articles within a clinical discipline, rather than searching the entire Medline database.Design Diagnostic test assessment framework with development and validation phases.Setting Sample of 4657 articles published in 2006 from 40 journals.Reviews Each article was manually reviewed, and 19.8% contained information relevant to the discipline of nephrology. The performance of 1 155 087 unique renal filters was compared with the manual review.Main outcome measures Sensitivity, specificity, precision, and accuracy of each filter.Results The best renal filters combined two to 14 terms or phrases and included the terms “kidney” with multiple endings (that is, truncation), “renal replacement therapy”, “renal dialysis”, “kidney function tests”, “renal”, “nephr” truncated, “glomerul” truncated, and “proteinuria”. These filters achieved peak sensitivities of 97.8% and specificities of 98.5%. Performance of filters remained excellent in the validation phase.Conclusions Medline can be filtered for the discipline of nephrology in a reliable manner. Storing these high performance renal filters in PubMed could help clinicians with their everyday searching. 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The performance of 1 155 087 unique renal filters was compared with the manual review.Main outcome measures Sensitivity, specificity, precision, and accuracy of each filter.Results The best renal filters combined two to 14 terms or phrases and included the terms “kidney” with multiple endings (that is, truncation), “renal replacement therapy”, “renal dialysis”, “kidney function tests”, “renal”, “nephr” truncated, “glomerul” truncated, and “proteinuria”. These filters achieved peak sensitivities of 97.8% and specificities of 98.5%. Performance of filters remained excellent in the validation phase.Conclusions Medline can be filtered for the discipline of nephrology in a reliable manner. Storing these high performance renal filters in PubMed could help clinicians with their everyday searching. Filters can also be developed for other clinical disciplines by using similar methods.</abstract><cop>England</cop><pub>British Medical Journal Publishing Group</pub><pmid>19767336</pmid><doi>10.1136/bmj.b3435</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; BMJ Journals - NESLi2; Applied Social Sciences Index & Abstracts (ASSIA); Jstor Complete Legacy
subjects Bibliographic data bases
Citations
Clinical assessment
Clinical Diagnostic Tests
Diabetes
Diabetic neuropathy
Diagnostic tests
Discipline
Fluid Electrolyte and Acid-Base Disturbances
Hepatitis
Immunization
Information search
Internet
Kidney diseases
Kidneys
Medical diagnostic tests
Medical Subject Headings-MeSH
Medicine
MEDLINE - standards
Nephrology
Proteinurea
Retrieval performance measures
Search strategies
Sensitivity
Sensitivity and Specificity
Studies
Subject heading schemes
Urological Surgery
Urology
title Filtering Medline for a clinical discipline: diagnostic test assessment framework
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