Literature DB >> 14566380

Research methodology search filters: are they effective for locating research for evidence-based veterinary medicine in PubMed?

Sarah Anne Murphy1.   

Abstract

OBJECTIVE: The study examined the effectiveness of research methodology search filters developed by Haynes and colleagues and utilized by the Clinical Query feature of PubMed for locating literature for evidence-based veterinary medicine (EBVM).
METHODS: A manual review of articles published in 6 commonly read veterinary journals was conducted. Articles were classified by format (original study, review, general article, conference report, decision analysis, and case report) and purpose category (etiology, prognosis, diagnosis, and treatment). Search strategies listed in PubMed's Clinical Query feature were then tested and compared to the manually reviewed data to calculate sensitivity, specificity, and precision.
RESULTS: The author manually reviewed 914 articles to identify 702 original studies. Search #1 included terms determined to have the highest sensitivity and returned acceptable sensitivities over 75% for diagnosis and treatment. Search #2 included terms identified as providing the highest specificity and returned results with specificities over 75% for etiology, prognosis, and treatment. DISCUSSION: The low precision for each search prompts the question: Are research methodology search filters practical for locating literature for the practice of EBVM? A study examining terms related to appropriate research methodologies for advanced clinical veterinary research is necessary to develop filters designed to locate literature for EBVM.

Mesh:

Year:  2003        PMID: 14566380      PMCID: PMC209515     

Source DB:  PubMed          Journal:  J Med Libr Assoc        ISSN: 1536-5050


  12 in total

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Authors:  B W Keene
Journal:  J Vet Intern Med       Date:  2000 Mar-Apr       Impact factor: 3.333

2.  General practitioners' self ratings of skills in evidence based medicine: validation study.

Authors:  Jane M Young; Paul Glasziou; Jeanette E Ward
Journal:  BMJ       Date:  2002-04-20

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Authors:  Lucas M Bachmann; Reto Coray; Pius Estermann; Gerben Ter Riet
Journal:  J Am Med Inform Assoc       Date:  2002 Nov-Dec       Impact factor: 4.497

5.  Applying methodological search filters to CAB abstracts to identify research for evidence-based veterinary medicine.

Authors:  Sarah Anne Murphy
Journal:  J Med Libr Assoc       Date:  2002-10

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Authors:  N L Pelzer; J M Leysen
Journal:  Bull Med Libr Assoc       Date:  1991-01

Review 7.  Critical appraisal meets clinical reality: evaluating evidence in the literature using canine hemangiosarcoma as an example.

Authors:  B Bonnett; R Reid-Smith
Journal:  Vet Clin North Am Small Anim Pract       Date:  1996-01       Impact factor: 2.093

8.  Obstacles to answering doctors' questions about patient care with evidence: qualitative study.

Authors:  John W Ely; Jerome A Osheroff; Mark H Ebell; M Lee Chambliss; Daniel C Vinson; James J Stevermer; Eric A Pifer
Journal:  BMJ       Date:  2002-03-23

9.  Reasons for the loss of sensitivity and specificity of methodologic MeSH terms and textwords in MEDLINE.

Authors:  N L Wilczynski; C J Walker; K A McKibbon; R B Haynes
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995

10.  Developing optimal search strategies for detecting clinically sound studies in MEDLINE.

Authors:  R B Haynes; N Wilczynski; K A McKibbon; C J Walker; J C Sinclair
Journal:  J Am Med Inform Assoc       Date:  1994 Nov-Dec       Impact factor: 4.497

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  3 in total

1.  Development and evaluation of evidence-based nursing (EBN) filters and related databases.

Authors:  Mary A Lavin; Mary M Krieger; Geralyn A Meyer; Mark A Spasser; Tome Cvitan; Cordie G Reese; Judith H Carlson; Anne G Perry; Patricia McNary
Journal:  J Med Libr Assoc       Date:  2005-01

2.  Identifying nurse staffing research in Medline: development and testing of empirically derived search strategies with the PubMed interface.

Authors:  Michael Simon; Elke Hausner; Susan F Klaus; Nancy E Dunton
Journal:  BMC Med Res Methodol       Date:  2010-08-23       Impact factor: 4.615

3.  The ScHARR LMIC filter: Adapting a low- and middle-income countries geographic search filter to identify studies on preterm birth prevention and management.

Authors:  Anthea Sutton; Fiona Campbell
Journal:  Res Synth Methods       Date:  2022-02-26       Impact factor: 9.308

  3 in total

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