ParkinsonCanadaV1, Main, Curation, bibRecord, 001E60

Diagnostic Test Systematic Reviews: Bibliographic search filters ("Clinical Queries") for diagnostic accuracy studies perform well

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Diagnostic 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.

RBID : PMC:2737707

Abstract

Background

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.

Objectives

To determine the performance of the Clinical Queries (CQ) sensitive search filter for diagnostic accuracy studies for retrieving studies for systematic reviews.

Methods

We compared the yield of the sensitive CQ diagnosis search filter for MEDLINE and EMBASE to retrieve studies in diagnostic accuracy systematic reviews (ACP Journal Club, 2006).

Results

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.

Conclusion

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:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2737707

DOI: 10.1016/j.jclinepi.2008.11.006
PubMed: 19230607
PubMed Central: 2737707

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PMC:2737707

Le 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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Diagnostic Test Systematic Reviews: Bibliographic search filters ("Clinical Queries") for diagnostic accuracy studies perform well

Diagnostic Test Systematic Reviews: Bibliographic search filters ("Clinical Queries") for diagnostic accuracy studies perform well

Source :

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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Pour générer des pages wiki