Evidence map›Paper›PMID 22249990›Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2012

Impact of PubMed search filters on the retrieval of evidence by physicians.

Salimah Z Shariff, Jessica M Sontrop, R Brian Haynes, Arthur V Iansavichus, K Ann McKibbon, Nancy L Wilczynski, Matthew A Weir, Mark R Speechley, Amardeep Thind, Amit X Garg

Erratum issuedAbstract read
In one paragraph

Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Development of an efficient search filter to retrieve systematic reviews from PubMed.Journal of the Medical Library Association : JMLA · 2021
    Article
  8. Validation of a search strategy for randomized clinical trials related to periodontitis.Archives of public health = Archives belges de sante publique · 2021
    Article
  9. The yield and usefulness of PAINArchives of physiotherapy · 2021
    Article
  10. Article
  11. Article
  12. An automated system for retrieving herb-drug interaction related articles from MEDLINE.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016
    Article
  13. Article
  14. Article
  15. Article
  16. Automated Determination of Publications Related to Adverse Drug Reactions in PubMed.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015
    Article
  17. All Information Is Not Equal: Using the Literature Databases PubMed and The Cochrane Library for Identifying the Evidence on Granulocyte Transfusion Therapy.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2014
    Article
  18. Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

10 authors.

Salimah Z ShariffDivision of Nephrology, University of Western Ontario, London, Ont. salimah.shariff@lhsc.on.ca
Jessica M Sontrop
R Brian Haynes
Arthur V Iansavichus
K Ann McKibbon
Nancy L Wilczynski
Matthew A Weir
Mark R Speechley
Amardeep Thind
Amit X Garg

Funding

Canadian Institutes of Health Research 191466
6 · The paper itself

Abstract

backgroundPhysicians face challenges when searching PubMed for research evidence, and they may miss relevant articles while retrieving too many nonrelevant articles. We investigated whether the use of search filters in PubMed improves searching by physicians.

methodsWe asked a random sample of Canadian nephrologists to answer unique clinical questions derived from 100 systematic reviews of renal therapy. Physicians provided the search terms that they would type into PubMed to locate articles to answer these questions. We entered the physician-provided search terms into PubMed and applied two types of search filters alone or in combination: a methods-based filter designed to identify high-quality studies about treatment (clinical queries "therapy") and a topic-based filter designed to identify studies with renal content. We evaluated the comprehensiveness (proportion of relevant articles found) and efficiency (ratio of relevant to nonrelevant articles) of the filtered and nonfiltered searches. Primary studies included in the systematic reviews served as the reference standard for relevant articles.

resultsThe average physician-provided search terms retrieved 46% of the relevant articles, while 6% of the retrieved articles were relevant (corrected) (the ratio of relevant to nonrelevant articles was 1:16). The use of both filters together produced a marked improvement in efficiency, resulting in a ratio of relevant to nonrelevant articles of 1:5 (16 percentage point improvement; 99% confidence interval 9% to 22%; p < 0.003) with no substantive change in comprehensiveness (44% of relevant articles found; p = 0.55).

interpretationThe use of PubMed search filters improves the efficiency of physician searches. Improved search performance may enhance the transfer of research into practice and improve patient care.

Indexed as

Evidence-Based MedicinePubMedData CollectionHumansInformation Seeking BehaviorKidney DiseasesPhysicians

Identifiers

PMID22249990
PMCPMC3281182

What Socratic 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 Socratic graph.