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Review
. 2013 Sep 11;2013(9):MR000022.
doi: 10.1002/14651858.MR000022.pub3.

Search strategies to identify diagnostic accuracy studies in MEDLINE and EMBASE

Affiliations
Review

Search strategies to identify diagnostic accuracy studies in MEDLINE and EMBASE

Rebecca Beynon et al. Cochrane Database Syst Rev. .

Abstract

Background: A 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.

Objectives: To 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 methods: We 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 results: Ninteen 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' conclusions: None 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.

PubMed Disclaimer

Conflict of interest statement

Julie Glanville, together with colleagues from the InterTASC Information Specialist Subgroup, developed the Search Filter Appraisal Checklist that is used in this review for the methodological assessment of the included studies and has published search filters. Julie Glanville, Mariska Leeflang, Ruth Mitchell, Rebecca Beynon and Penny Whiting have published performance evaluations of search filters.

Figures

1
1
Study selection process.
2
2
ROC plot of sensitivity and specificity of MEDLINE search filters from development and evaluation studies.
3
3
ROC plot of sensitivity and precision of MEDLINE search filters from development and evaluation studies.
4
4
ROC plot of sensitivity and precision of EMBASE search filters from development and evaluation studies.

Update of

  • doi: 10.1002/14651858.MR000022.pub2

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References

References to studies included in this review

Astin 2008 {published data only}
    1. Astin MP, Brazzelli MG, Fraser CM, Counsell CE, Needham G, Grimshaw JM. Developing a sensitive search strategy in MEDLINE to retrieve studies on assessment of the diagnostic performance of imaging techniques. Radiology 2008;247(2):365‐73. [MEDLINE: ] - PubMed
Bachmann 2002 {published data only}
    1. Bachmann LM, Coray R, Estermann P, Ter Riet G. Identifying diagnostic studies in MEDLINE: reducing the number needed to read. Journal of the American Medical Informatics Association 2002;9(6):653‐8. [MEDLINE: ] - PMC - PubMed
Bachmann 2003 {published data only}
    1. Bachmann LM. Identifying diagnostic accuracy studies in EMBASE. Journal of the Medical Library Association 2003;91(3):341‐6. [MEDLINE: ] - PMC - PubMed
Berg 2005 {published data only}
    1. Berg A, Fleischer S, Behrens J. Development of two search strategies for literature in MEDLINE‐PubMed: nursing diagnoses in the context of evidence‐based nursing. International Journal of Nursing Terminologies and Classifications 2005;16(2):26‐32. [MEDLINE: ] - PubMed
Deville 2000 {published data only}
    1. Deville WL, Bezemer PD, Bouter LM. Publications on diagnostic test evaluation in family medicine journals: an optimal search strategy. Journal of Clinical Epidemiology 2000;53(1):65‐9. [MEDLINE: ] - PubMed
Deville 2002 {published data only}
    1. Deville WL, Bossuyt PM, Vet HC, Bezemer PD, Bouter LM, Assendelft WJ. Systematic reviews in practice. X. Searching, selecting and the methodological assessment of diagnostic evaluation research [De praktijk van systematische reviews. X. Zoeken, selecteren en methodologisch beoordelen van diagnostisch evaluatieonderzoek]. Nederlands Tijdschrift voor Geneeskunde 2002;146(48):2281‐4. [MEDLINE: ] - PubMed
Doust 2005 {published data only}
    1. Doust JA, Pietrzak E, Sanders S, Glasziou PP. Identifying studies for systematic reviews of diagnostic tests was difficult due to the poor sensitivity and precision of methodologic filters and the lack of information in the abstract. Journal of Clinical Epidemiology 2005;58(5):444‐9. [MEDLINE: ] - PubMed
Haynes 1994 {published data only}
    1. Haynes RB, Wilczynski, McKibbon KA, Walker CJ, Sinclair JC. Developing optimal search strategies for detecting clinically sound studies in MEDLINE. Journal of the American Medical Informatics Association 1994;1(6):447‐58. [MEDLINE: ] - PMC - PubMed
    1. Wilczynski NL, Walker CJ, McKibbon KA, Haynes RB. Assessment of methodologic search filters in MEDLINE. Proceedings of the Annual Symposium on Computer Applications in Medical Care 1993:601‐5. - PMC - PubMed
    1. Wilczynski NL, Walker CJ, McKibbon KA, Haynes RB. Quantitative comparison of pre‐explosions and subheadings with methodologic search terms in MEDLINE. Proceedings of the Annual Symposium on Computer Applications in Medical Care 1994:905‐9. - PMC - PubMed
Haynes 2004 {published data only}
    1. Haynes RB, Wilczynski NL. Optimal search strategies for retrieving scientifically strong studies of diagnosis from Medline: analytical survey. BMJ 2004;328(7447):1040. [MEDLINE: ] - PMC - PubMed
Kassai 2006 {published data only}
    1. Kassai B, Sonie S, Shah NR, Boissel JP. Literature search parameters marginally improved the pooled estimate accuracy for ultrasound in detecting deep venous thrombosis. Journal of Clinical Epidemiology 2006;59(7):710‐4. [MEDLINE: ] - PMC - PubMed
Kastner 2009 {published data only}
    1. Kastner M, Wilczynski NL, McKibbon AK, Garg AX, Haynes RB. Diagnostic test systematic reviews: bibliographic search filters ("Clinical Queries") for diagnostic accuracy studies perform well. Journal of Clinical Epidemiology 2009;62(9):974‐81. [MEDLINE: ] - PMC - PubMed
Leeflang 2006 {published data only}
    1. Leeflang MM, Scholten RJ, Rutjes AW, Reitsma JB, Bossuyt PM. Use of methodological search filters to identify diagnostic accuracy studies can lead to the omission of relevant studies. Journal of Clinical Epidemiology 2006;59(3):234‐40. [MEDLINE: ] - PubMed
Mitchell 2005 {published data only}
    1. Mitchell RL, Rinaldi F, Craig JC. Performance of published search strategies for studies of diagnostic test accuracy (SDTAs) in MEDLINE and EMBASE. XIII Cochrane Colloquium; 22‐26 Melbourne, Australia. 2005.
Noel‐Storr 2011 {published data only}
    1. Noel‐Storr A. The development of a methodological filter for studies of diagnostic accuracy in dementia. IXX Cochrane Colloquium, 19‐22 October Madrid, Spain. 2011.
Ritchie 2007 {published data only}
    1. Ritchie G, Glanville J, Lefebvre C. Do published search filters to identify diagnostic test accuracy studies perform adequately?. Health Information and Libraries Journal 2007;24(3):188‐92. [MEDLINE: ] - PubMed
van der Weijden 1997 {published data only}
    1. Weijden T, IJzermans CJ, Dinant GJ, Duijn NP, Vet R, Buntinx F. Identifying relevant diagnostic studies in MEDLINE. The diagnostic value of the erythrocyte sedimentation rate (ESR) and dipstick as an example. Family Practice 1997;14(3):204‐8. [MEDLINE: ] - PubMed
Vincent 2003 {published data only}
    1. Vincent S, Greenley S, Beaven O. Clinical Evidence diagnosis: developing a sensitive search strategy to retrieve diagnostic studies on deep vein thrombosis: a pragmatic approach. Health Information and Libraries Journal 2003;20(3):150‐9. [MEDLINE: ] - PubMed
Whiting 2010 {published data only}
    1. Whiting P, Westwood M, Beynon R, Burke M, Sterne JA, Glanville J. Inclusion of methodological filters in searches for diagnostic test accuracy studies misses relevant studies. Journal of Clinical Epidemiology 2010;64(6):602‐7. [MEDLINE: ] - PubMed
Wilczynski 2005 {published data only}
    1. Wilczynski NL, Haynes RB, Hedges Team. EMBASE search strategies for identifying methodologically sound diagnostic studies for use by clinicians and researchers. BMC Medicine 2005;3:7. [MEDLINE: ] - PMC - PubMed

Additional references

Bossuyt 2003
    1. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Clinical Chemistry 2003;49(1):7‐18. [MEDLINE: ] - PubMed
CASP 2002
    1. Critical Appraisal Skills Programme. Search Filters. http://www.phru.nhs.uk/casp/search_filters.htm (No longer available) 2006.
Deeks 2010
    1. Deeks JJ, Bossuyt PM, Gatsonis C (editors). Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version 1.0. The Cochrane Collaboration, 2010. Available from http://srdta.cochrane.org (accessed 25 April 2013).
DeVet 2008
    1. Vet HCW, Eisinga A, Riphagen II, Aertgeerts B, Pewsner D, Mitchell R. Chapter 7: Searching for studies. In: Deeks JJ, Bossuyt PM, Gatsonis C (editors). Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version 0.4 [updated September 2008]. The Cochrane Collaboration, 2008. Available from http://srdta.cochrane.org (accessed 25 April 2013).
Deville 2002a
    1. Deville WL, Buntinx F, Bouter LM, Montori VM, Vet HC, Windt DA. Conducting systematic reviews of diagnostic studies: didactic guidelines. BMC Medical Research Methodology 2002;2:9. - PMC - PubMed
Falck‐Ytter 2004
    1. Falck‐Ytter YT, Motschall E. New search filter for diagnostic studies: Ovid and PubMed versions not the same [2004]. available at http://www.bmj.com/content/328/7447/1040?tab=responses (accessed 25 April 2013).
Fielding 2002
    1. Fielding AM, Powell A. Using Medline to achieve an evidence‐based approach to diagnostic clinical biochemistry. Annals of Clinical Biochemistry 2002;39(Pt 4):345‐50. [MEDLINE: ] - PubMed
Glanville 2008
    1. Glanville J, Bayliss S, Booth A, Dundar Y, Fleeman ND, Foster L, et al. on behalf of the InterTASC Information Specialists' Subgroup. So many filters, so little time: the development of a search filter appraisal checklist. Journal of the Medical Library Association 2008;96(4):356‐61. [MEDLINE: ] - PMC - PubMed
Haynes 2005
    1. Haynes RB, McKibbon KA, Wilczynski NL, Walter SD, Werre SR, Hedges Team. Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical survey. BMJ 2005;330(7501):1179‐84. [MEDLINE: ] - PMC - PubMed
Haynes 2005a
    1. Haynes RB, Kastner M, Wilczynski NL, Hedges Team. Developing optimal search strategies for detecting clinically sound and relevant causation studies in EMBASE. BMC Medical Information and Decision Making 2005;5:8. [MEDLINE: ] - PMC - PubMed
Horsley 2011
    1. Horsley T, Dingwall O, Sampson M. Checking reference lists to find additional studies for systematic reviews. Cochrane Database of Systematic Reviews 2011, Issue 8. [DOI: 10.1002/14651858.MR000026.pub2] - DOI - PMC - PubMed
InterTASC 2011
    1. InterTASC Information Specialists' Sub‐Group (ISSG). The InterTASC Information Specialists' Sub‐Group Search Filter Resource: diagnostic studies. Available at http://www.york.ac.uk/inst/crd/intertasc/diag.htm. York: Centre for Reviews and Dissemination, (accessed 25th April 2013).
Lefebvre 2011
    1. Lefebvre C, Manheimer E, Glanville J. Chapter 6: Searching for studies. In: Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from http://www.cochrane‐handbook.org (accessed 25 April 2013).
NLM 2005
    1. US National Library of Medicine. Clinical Queries using Research Methodology Filters [updated Jan 2005]. Available from http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.Clinical_Queries_F... (accessed 25 April 2013).
North Thames 2002
    1. North Thames. Diagnostic procedures. http://www.londonlinks.ac.uk/evidence_strategies/ovid_filters.htm#diagno.... (No longer available).
Ovid 2010
    1. Wolfer Kluer Health. Clinical queries in Ovid. available at: http://ovidsupport.custhelp.com/cgi‐bin/ovidsupport.cfg/php/enduser/std_... First published 2004; updated 2010.
OvidSP 2013
    1. Wolters Kluwer Health. MEDLINE® 2013 Database Guide. available at http://ovidsp.tx.ovid.com/sp‐3.8.1a/ovidweb.cgi?&S=BLIMFPMFDFDDHIFFNCOKF... [2012] (accessed 25 April 2013).
OvidSP 2013a
    1. Wolters Kluwer Health. Embase: Excerpta Medica Database Guide. http://ovidsp.tx.ovid.com/sp‐3.8.1a/ovidweb.cgi?&S=BLIMFPMFDFDDHIFFNCOKF... [2012] (accessed 25 April 2013).
Shipley Miner 2002
    1. Shipley MC. Evidence based filters for Ovid MEDLINE. http://www.urmc.rochester.edu/hslt/miner/digital_library/tip_sheets/OVID.... Rochester: Edward G Miner Library, University of Rochester.
University of Rochester 2002
    1. Miner Library Reference Librarians. Evidence based filters for Ovid MEDLINE. Miner Library, University of Rochester 2002.
Whiting 2008
    1. Whiting P, Westwood M, Burke M, Sterne J, Harbord R, Glanville J. Can diagnostic filters offer similar sensitivity and a reduced number needed to read compared to searches based on index test and target condition? [abstract]. Methods for Evaluating Medical Tests. Symposium. 2008 Jul 24‐25.
Whiting 2011
    1. Whiting P, Westwood M, Beynon R, Burke M, Sterne JA, Glanville J. Inclusion of methodological filters in searches for diagnostic accuracy studies misses relevant studies. Journal of Clinical Epidemiology 2011;64(6):602‐7. [MEDLINE: ] - PubMed
Wilczynski 1995
    1. Wilczynski NL, Walker CJ, McKibbon KA, Haynes RB. Reasons for the loss of sensitivity and specificity of methodologic MeSH terms and textwords in MEDLINE. Proceedings ‐ the Annual Symposium on Computer Applications in Medical Care 1995:436‐40. [MEDLINE: ] - PMC - PubMed
Wilczynski 2003
    1. Wilczynski NL, Haynes RB, Hedges Team. Developing optimal search strategies for detecting clinically sound causation studies in MEDLINE. AMIA ‐ Annual Symposium Proceedings/AMIA Symposium 2003:719‐23. [MEDLINE: ] - PMC - PubMed
Wilczynski 2004
    1. Wilczynski NL, Haynes RB, Hedges Team. Developing optimal search strategies for detecting clinically sound prognostic studies in MEDLINE: an analytic survey. BMC Medicine 2004;2(1):23. [MEDLINE: ] - PMC - PubMed
Wilczynski 2005a
    1. Wilczynski NL, Haynes RB. Optimal search strategies for detecting clinically sound prognostic studies in EMBASE: an analytic survey. Journal of the American Medical Informatics Association 2005;12(4):481‐5. [MEDLINE: ] - PMC - PubMed
Wilczynski 2007
    1. Wilczynski NL, Haynes RB. Indexing of diagnosis accuracy studies in MEDLINE and EMBASE. AMIA ‐ Annual Symposium Proceedings/AMIA Symposium 2007:801‐5. [MEDLINE: ] - PMC - PubMed

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