Evidence map›Paper›PMID 24022476›Full record

SynthesisThe Cochrane database of systematic reviews2013

Search strategies to identify diagnostic accuracy studies in MEDLINE and EMBASE.

Rebecca Beynon, Mariska M G Leeflang, Steve McDonald, Anne Eisinga, Ruth L Mitchell, Penny Whiting, Julie M Glanville

Abstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 33 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 33 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 33 syntheses or guidelines pooled it.

  1. Pooled it
  2. Diagnostic accuracy of non-invasive modalities for laryngotracheal stenosis: A systematic review and meta-Analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Pooled it
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  5. Ultrasonography for confirmation of gastric tube placement.The Cochrane database of systematic reviews · 2024
    Pooled it
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  10. Mini-Cog for the detection of dementia within a community setting.The Cochrane database of systematic reviews · 2021
    Pooled it
  11. Montreal Cognitive Assessment for the detection of dementia.The Cochrane database of systematic reviews · 2021
    Pooled it
  12. Pooled it
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  17. Search strategies to identify observational studies in MEDLINE and Embase.The Cochrane database of systematic reviews · 2019
    Pooled it
  18. C-reactive protein for diagnosing late-onset infection in newborn infants.The Cochrane database of systematic reviews · 2019
    Pooled it
  19. Pooled it
  20. Pooled it

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rebecca BeynonSchool of Social and Community Medicine, Canynge Hall, 39 Whatley Road, Bristol, UK, BS8 2PS.
Mariska M G Leeflang
Steve McDonald
Anne Eisinga
Ruth L Mitchell
Penny Whiting
Julie M Glanville

Funding

Medical Research Council G0801405
6 · The paper itself

Abstract

backgroundA systematic and extensive search for as many eligible studies as possible is essential in any systematic review. When searching for diagnostic test accuracy (DTA) studies in bibliographic databases, it is recommended that terms for disease (target condition) are combined with terms for the diagnostic test (index test). Researchers have developed methodological filters to try to increase the precision of these searches. These consist of text words and database indexing terms and would be added to the target condition and index test searches.Efficiently identifying reports of DTA studies presents challenges because the methods are often not well reported in their titles and abstracts, suitable indexing terms may not be available and relevant indexing terms do not seem to be consistently assigned. A consequence of using search filters to identify records for diagnostic reviews is that relevant studies might be missed, while the number of irrelevant studies that need to be assessed may not be reduced. The current guidance for Cochrane DTA reviews recommends against the addition of a methodological search filter to target condition and index test search, as the only search approach.

objectivesTo systematically review empirical studies that report the development or evaluation, or both, of methodological search filters designed to retrieve DTA studies in MEDLINE and EMBASE. SEARCH

methodsWe searched MEDLINE (1950 to week 1 November 2012); EMBASE (1980 to 2012 Week 48); the Cochrane Methodology Register (Issue 3, 2012); ISI Web of Science (11 January 2013); PsycINFO (13 March 2013); Library and Information Science Abstracts (LISA) (31 May 2010); and Library, Information Science & Technology Abstracts (LISTA) (13 March 2013). We undertook citation searches on Web of Science, checked the reference lists of relevant studies, and searched the Search Filters Resource website of the InterTASC Information Specialists' Sub-Group (ISSG). SELECTION CRITERIA: Studies reporting the development or evaluation, or both, of a MEDLINE or EMBASE search filter aimed at retrieving DTA studies, which reported a measure of the filter's performance were eligible. DATA COLLECTION AND ANALYSIS: The main outcome was a measure of filter performance, such as sensitivity or precision. We extracted data on the identification of the reference set (including the gold standard and, if used, the non-gold standard records), how the reference set was used and any limitations, the identification and combination of the search terms in the filters, internal and external validity testing, the number of filters evaluated, the date the study was conducted, the date the searches were completed, and the databases and search interfaces used. Where 2 x 2 data were available on filter performance, we used these to calculate sensitivity, specificity, precision and Number Needed to Read (NNR), and 95% confidence intervals (CIs). We compared the performance of a filter as reported by the original development study and any subsequent studies that evaluated the same filter. MAIN

resultsNinteen studies were included, reporting on 57 MEDLINE filters and 13 EMBASE filters. Thirty MEDLINE and four EMBASE filters were tested in an evaluation study where the performance of one or more filters was tested against one or more gold standards. The reported outcome measures varied. Some studies reported specificity as well as sensitivity if a reference set containing non-gold standard records in addition to gold standard records was used. In some cases, the original development study did not report any performance data on the filters. Original performance from the development study was not available for 17 filters that were subsequently tested in evaluation studies. All 19 studies reported the sensitivity of the filters that they developed or evaluated, nine studies reported the specificities and 14 studies reported the precision.No filter which had original performance data from its development study, and was subsequently tested in an evaluation study, had what we defined a priori as acceptable sensitivity (> 90%) and precision (> 10%). In studies that developed MEDLINE filters that were evaluated in another study (n = 13), the sensitivity ranged from 55% to 100% (median 86%) and specificity from 73% to 98% (median 95%). Estimates of performance were lower in eight studies that evaluated the same 13 MEDLINE filters, with sensitivities ranging from 14% to 100% (median 73%) and specificities ranging from 15% to 96% (median 81%). Precision ranged from 1.1% to 40% (median 9.5%) in studies that developed MEDLINE filters and from 0.2% to 16.7% (median 4%) in studies that evaluated these filters. A similar range of specificities and precision were reported amongst the evaluation studies for MEDLINE filters without an original performance measure. Sensitivities ranged from 31% to 100% (median 71%), specificity ranged from 13% to 90% (median 55.5%) and precision from 1.0% to 11.0% (median 3.35%).For the EMBASE filters, the original sensitivities reported in two development studies ranged from 74% to 100% (median 90%) for three filters, and precision ranged from 1.2% to 17.6% (median 3.7%). Evaluation studies of these filters had sensitivities from 72% to 97% (median 86%) and precision from 1.2% to 9% (median 3.7%). The performance of EMBASE search filters in development and evaluation studies were more alike than the performance of MEDLINE filters in development and evaluation studies. None of the EMBASE filters in either type of study had a sensitivity above 90% and precision above 10%. AUTHORS'

conclusionsNone of the current methodological filters designed to identify reports of primary DTA studies in MEDLINE or EMBASE combine sufficiently high sensitivity, required for systematic reviews, with a reasonable degree of precision. This finding supports the current recommendation in the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy that the combination of methodological filter search terms with terms for the index test and target condition should not be used as the only approach when conducting formal searches to inform systematic reviews of DTA.

Indexed as

DiagnosisSubject HeadingsDatabases, BibliographicInformation Storage and RetrievalMEDLINEReference StandardsReview Literature as TopicSearch EngineSensitivity and Specificity

Identifiers

PMID24022476
PMCPMC7390022

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.