Original Article
Diagnostic test systematic reviews: Bibliographic search filters (“Clinical Queries”) for diagnostic accuracy studies perform well

https://doi.org/10.1016/j.jclinepi.2008.11.006Get rights and content

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 sensitive search filter for diagnostic accuracy studies for retrieving studies for systematic reviews.

Methods

We compared the yield of the sensitive Clinical Queries diagnosis search filter for MEDLINE and EMBASE to retrieve studies in diagnostic accuracy systematic reviews reported in ACP Journal Club in 2006.

Results

Twelve of 22 diagnostic accuracy reviews (452 included studies) met the inclusion criteria. After excluding 11 studies not in MEDLINE or EMBASE, 95% of articles (417 of 441) were captured by the sensitive Clinical Queries diagnosis search filter (MEDLINE and EMBASE combined). Of 24 studies not retrieved by the filter, 22 were not diagnostic accuracy studies. Reanalysis of the Clinical Queries filter without these 22 nondiagnosis articles increased its performance to 99% (417 of 419). We found no substantive impact of the two articles missed by the Clinical Queries filter on the conclusions of the systematic reviews in which they were cited.

Conclusion

The sensitive Clinical Queries diagnostic search filter captured 99% of articles and 100% of substantive articles indexed in MEDLINE and EMBASE in diagnostic accuracy systematic reviews.

Section snippets

Background

Systematic reviews are valuable resources for clinicians and researchers, because they summarize all pertinent studies on a specific clinical question, can improve the understanding of inconsistencies among diverse evidence, help users to keep up with the medical literature, define future research agendas, and inform the management of health problems [1], [2]. However, finding all primary studies for systematic reviews is challenging, because an overwhelming amount of information is available

Methods

The methods used to derive the Clinical Queries search filters in both MEDLINE and EMBASE have been described elsewhere [5], [6], [7], [8], [9]. In this study, we compared the yield of the sensitive Clinical Queries diagnostic filters (Table 1) with the studies included in a sample of systematic reviews of diagnostic accuracy from the ACP Journal Club collection (http://www.acpjc.org) for the year 2006 (search carried out in May, 2007).

Diagnostic accuracy reviews were searched from the ACP

Results

Of 94 diagnosis accuracy reviews found in ACP Journal Club, 22 were published in 2006. When reviewed in full text, 13 systematic reviews met our original inclusion criteria (both MEDLINE and EMBASE searches as data sources, and available in electronic format) [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23]. The addition of the third eligibility criterion during full-text review resulted in the exclusion of one diagnostic review [11], and nine systematic reviews were

Discussion

We showed that the sensitive Clinical Queries diagnostic search filter performed extremely well by capturing 99% of included articles indexed in MEDLINE and EMBASE from our sample of 12 diagnostic systematic reviews. The original capture estimate of 95% was improved once we determined that 92% of the 24 missed articles (22 of 24) were not about diagnosis. A large proportion of missed articles that were not about diagnosis occurred in reviews that addressed both diagnosis and treatment

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