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...
Gespeichert in:
Veröffentlicht in: | BMJ 2009-09, Vol.339 (7724), p.795-795 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |
format | Article |
fullrecord | <record><control><sourceid>jstor_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2746885</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>25672829</jstor_id><sourcerecordid>25672829</sourcerecordid><originalsourceid>FETCH-LOGICAL-b521t-11a8c2101e40618417d68f3d2dd139ad442d3797995610833d6240fbee0606953</originalsourceid><addsrcrecordid>eNqFkd1rFDEUxUNR2qX2oX-AZUARfJiam0y-fBBksVVsFaX1NWQmmW22M5M1mfXjvzfbWbYqiE_3wvlxOecehI4BnwJQ_qLul6c1rSjbQzOouCyZpPQBmmHFVCmBygN0lNISY0yokIqzfXQASnBBKZ-hT2e-G130w6K4dLbzgyvaEAtTNHn3jekK61PjVxvlZd7NYghp9E0xujQWJiWXUu-GsWij6d33EG8foYet6ZI72s5DdH325mr-trz4eP5u_vqirBmBsQQwsiGAwVWYg6xAWC5baom1QJWxVUUsFUooxTjgHMlyUuG2dg5zzBWjh-jVdHe1rntnm2wimk6vou9N_KmD8fpPZfA3ehG-aSLyl-TmwLPtgRi-rnMc3eeoruvM4MI6aS44E4Ko_4JMUMIkqTL45C9wGdZxyF_QIITEAoTCmXo-UU0MKUXX7jwD1ptKda5U31Wa2ZPfQ96T2wIz8HgClmkMcacTxgWRd97LSfdpdD92uom3OR8VTH_4Mtef318qgSnR55l_OvEbD__29QuwX7_h</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1778071790</pqid></control><display><type>article</type><title>Filtering Medline for a clinical discipline: diagnostic test assessment framework</title><source>MEDLINE</source><source>BMJ Journals - NESLi2</source><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>Jstor Complete Legacy</source><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</creator><creatorcontrib>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</creatorcontrib><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.</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. Filters can also be developed for other clinical disciplines by using similar methods.</description><subject>Bibliographic data bases</subject><subject>Citations</subject><subject>Clinical assessment</subject><subject>Clinical Diagnostic Tests</subject><subject>Diabetes</subject><subject>Diabetic neuropathy</subject><subject>Diagnostic tests</subject><subject>Discipline</subject><subject>Fluid Electrolyte and Acid-Base Disturbances</subject><subject>Hepatitis</subject><subject>Immunization</subject><subject>Information search</subject><subject>Internet</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Medical diagnostic tests</subject><subject>Medical Subject Headings-MeSH</subject><subject>Medicine</subject><subject>MEDLINE - standards</subject><subject>Nephrology</subject><subject>Proteinurea</subject><subject>Retrieval performance measures</subject><subject>Search strategies</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><subject>Studies</subject><subject>Subject heading schemes</subject><subject>Urological Surgery</subject><subject>Urology</subject><issn>0959-8138</issn><issn>0959-535X</issn><issn>1468-5833</issn><issn>1756-1833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkd1rFDEUxUNR2qX2oX-AZUARfJiam0y-fBBksVVsFaX1NWQmmW22M5M1mfXjvzfbWbYqiE_3wvlxOecehI4BnwJQ_qLul6c1rSjbQzOouCyZpPQBmmHFVCmBygN0lNISY0yokIqzfXQASnBBKZ-hT2e-G130w6K4dLbzgyvaEAtTNHn3jekK61PjVxvlZd7NYghp9E0xujQWJiWXUu-GsWij6d33EG8foYet6ZI72s5DdH325mr-trz4eP5u_vqirBmBsQQwsiGAwVWYg6xAWC5baom1QJWxVUUsFUooxTjgHMlyUuG2dg5zzBWjh-jVdHe1rntnm2wimk6vou9N_KmD8fpPZfA3ehG-aSLyl-TmwLPtgRi-rnMc3eeoruvM4MI6aS44E4Ko_4JMUMIkqTL45C9wGdZxyF_QIITEAoTCmXo-UU0MKUXX7jwD1ptKda5U31Wa2ZPfQ96T2wIz8HgClmkMcacTxgWRd97LSfdpdD92uom3OR8VTH_4Mtef318qgSnR55l_OvEbD__29QuwX7_h</recordid><startdate>20090918</startdate><enddate>20090918</enddate><creator>Garg, Amit X</creator><creator>Iansavichus, Arthur V</creator><creator>Wilczynski, Nancy L</creator><creator>Kastner, Monika</creator><creator>Baier, Leslie A</creator><creator>Shariff, Salimah Z</creator><creator>Rehman, Faisal</creator><creator>Weir, Matthew</creator><creator>McKibbon, K Ann</creator><creator>Haynes, R Brian</creator><general>British Medical Journal Publishing Group</general><general>British Medical Association</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group Ltd</general><scope>9YT</scope><scope>ACMMV</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7QJ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090918</creationdate><title>Filtering Medline for a clinical discipline: diagnostic test assessment framework</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b521t-11a8c2101e40618417d68f3d2dd139ad442d3797995610833d6240fbee0606953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Bibliographic data bases</topic><topic>Citations</topic><topic>Clinical assessment</topic><topic>Clinical Diagnostic Tests</topic><topic>Diabetes</topic><topic>Diabetic neuropathy</topic><topic>Diagnostic tests</topic><topic>Discipline</topic><topic>Fluid Electrolyte and Acid-Base Disturbances</topic><topic>Hepatitis</topic><topic>Immunization</topic><topic>Information search</topic><topic>Internet</topic><topic>Kidney diseases</topic><topic>Kidneys</topic><topic>Medical diagnostic tests</topic><topic>Medical Subject Headings-MeSH</topic><topic>Medicine</topic><topic>MEDLINE - standards</topic><topic>Nephrology</topic><topic>Proteinurea</topic><topic>Retrieval performance measures</topic><topic>Search strategies</topic><topic>Sensitivity</topic><topic>Sensitivity and Specificity</topic><topic>Studies</topic><topic>Subject heading schemes</topic><topic>Urological Surgery</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Garg, Amit X</au><au>Iansavichus, Arthur V</au><au>Wilczynski, Nancy L</au><au>Kastner, Monika</au><au>Baier, Leslie A</au><au>Shariff, Salimah Z</au><au>Rehman, Faisal</au><au>Weir, Matthew</au><au>McKibbon, K Ann</au><au>Haynes, R Brian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Filtering Medline for a clinical discipline: diagnostic test assessment framework</atitle><jtitle>BMJ</jtitle><addtitle>BMJ</addtitle><date>2009-09-18</date><risdate>2009</risdate><volume>339</volume><issue>7724</issue><spage>795</spage><epage>795</epage><pages>795-795</pages><issn>0959-8138</issn><issn>0959-535X</issn><eissn>1468-5833</eissn><eissn>1756-1833</eissn><coden>BMJOAE</coden><abstract>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.</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> |
fulltext | fulltext |
identifier | ISSN: 0959-8138 |
ispartof | BMJ, 2009-09, Vol.339 (7724), p.795-795 |
issn | 0959-8138 0959-535X 1468-5833 1756-1833 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2746885 |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T06%3A54%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Filtering%20Medline%20for%20a%20clinical%20discipline:%20diagnostic%20test%20assessment%20framework&rft.jtitle=BMJ&rft.au=Garg,%20Amit%20X&rft.date=2009-09-18&rft.volume=339&rft.issue=7724&rft.spage=795&rft.epage=795&rft.pages=795-795&rft.issn=0959-8138&rft.eissn=1468-5833&rft.coden=BMJOAE&rft_id=info:doi/10.1136/bmj.b3435&rft_dat=%3Cjstor_pubme%3E25672829%3C/jstor_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1778071790&rft_id=info:pmid/19767336&rft_jstor_id=25672829&rfr_iscdi=true |