Diagnostic Test Systematic Reviews: Bibliographic search filters ("Clinical Queries") for diagnostic accuracy studies perform well
Identifieur interne : 001E60 ( Main/Curation ); précédent : 001E59; suivant : 001E61Diagnostic Test Systematic Reviews: Bibliographic search filters ("Clinical Queries") for diagnostic accuracy studies perform well
Auteurs : M. Kastner [Canada] ; Nl Wilczynski [Canada] ; Ka Mckibbon [Canada] ; Ax Garg [Canada] ; Rb Haynes [Canada]Source :
- Journal of clinical epidemiology [ 0895-4356 ] ; 2009.
Abstract
Systematic reviews of health care topics are valuable summaries of all pertinent studies on focused questions. However, finding all relevant primary studies for systematic reviews remains challenging.
To determine the performance of the Clinical Queries (CQ) sensitive search filter for diagnostic accuracy studies for retrieving studies for systematic reviews.
We compared the yield of the sensitive CQ diagnosis search filter for MEDLINE and EMBASE to retrieve studies in diagnostic accuracy systematic reviews (
12 of 22 diagnostic accuracy reviews (452 included studies) met inclusion criteria. After excluding 11 studies not in MEDLINE or EMBASE, 95% of articles (417/441) were captured by the sensitive CQ diagnosis search filter (MEDLINE and EMBASE combined). Of 24 studies not retrieved by the filter, 22 were not diagnostic accuracy studies. Re-analysis of the CQ filter without these 22 non-diagnosis articles increased its performance to 99% (417/419). We found no substantive impact of the 2 articles missed by the CQ filter on the conclusions of the systematic reviews in which they were cited.
The sensitive CQ diagnostic search filter captured 99% of articles and 100% of substantive articles indexed in MEDLINE and EMBASE in diagnostic accuracy systematic reviews.
Url:
DOI: 10.1016/j.jclinepi.2008.11.006
PubMed: 19230607
PubMed Central: 2737707
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PMC:2737707Le document en format XML
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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title>
<p id="P1">Systematic reviews of health care topics are valuable summaries of all pertinent studies on focused questions. However, finding all relevant primary studies for systematic reviews remains challenging.</p>
</sec>
<sec id="S2"><title>Objectives</title>
<p id="P2">To determine the performance of the Clinical Queries (CQ) sensitive search filter for diagnostic accuracy studies for retrieving studies for systematic reviews.</p>
</sec>
<sec sec-type="methods" id="S3"><title>Methods</title>
<p id="P3">We compared the yield of the sensitive CQ diagnosis search filter for MEDLINE and EMBASE to retrieve studies in diagnostic accuracy systematic reviews (<italic>ACP Journal Club,</italic>
2006).</p>
</sec>
<sec id="S4"><title>Results</title>
<p id="P4">12 of 22 diagnostic accuracy reviews (452 included studies) met inclusion criteria. After excluding 11 studies not in MEDLINE or EMBASE, 95% of articles (417/441) were captured by the sensitive CQ diagnosis search filter (MEDLINE and EMBASE combined). Of 24 studies not retrieved by the filter, 22 were not diagnostic accuracy studies. Re-analysis of the CQ filter without these 22 non-diagnosis articles increased its performance to 99% (417/419). We found no substantive impact of the 2 articles missed by the CQ filter on the conclusions of the systematic reviews in which they were cited.</p>
</sec>
<sec id="S5"><title>Conclusion</title>
<p id="P5">The sensitive CQ diagnostic search filter captured 99% of articles and 100% of substantive articles indexed in MEDLINE and EMBASE in diagnostic accuracy systematic reviews.</p>
</sec>
</div>
</front>
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