Evidence map›Paper›PMID 31258442›Full record

ArticleJournal of the Medical Library Association : JMLA2019

Search results outliers among MEDLINE platforms.

Christopher Sean Burns, Robert M Shapiro, Tyler Nix, Jeffrey T Huber

Abstract readComparative Study
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Scientometric analysis of trends in global research on acne treatment.International journal of women's dermatology · 2023
    Article
  4. Article
  5. Article
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

4 authors.

Christopher Sean BurnsAssociate Professor, School of Information Science, University of Kentucky, Lexington, KY, sean.burns@uky.edu.ORCID 0000-0001-8695-3643
Robert M ShapiroAssistant Professor, School of Information Science, University of Kentucky, Lexington, KY, shapiro.rm@uky.edu.ORCID 0000-0003-4556-702X
Tyler NixInformationist, Taubman Health Sciences Library, University of Michigan, Ann Arbor, MI, tnix@umich.edu.ORCID 0000-0002-0503-386X
Jeffrey T HuberProfessor, School of Information Science, University of Kentucky, Lexington, KY, jeffrey.huber@uky.edu.ORCID 0000-0002-3317-0482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHypothetically, content in MEDLINE records is consistent across multiple platforms. Though platforms have different interfaces and requirements for query syntax, results should be similar when the syntax is controlled for across the platforms. The authors investigated how search result counts varied when searching records among five MEDLINE platforms.

methodsWe created 29 sets of search queries targeting various metadata fields and operators. Within search sets, we adapted 5 distinct, compatible queries to search 5 MEDLINE platforms (PubMed, ProQuest, EBSCO

resultsWeb of Science and ProQuest searches were the most likely to deviate from the equivalent PubMed searches. EBSCO

conclusionPlatform enhancements among interfaces affect record retrieval and challenge the expectation that MEDLINE platforms should, by default, be treated as MEDLINE. Substantial inconsistencies in search result counts, as demonstrated here, should raise concerns about the impact of platform-specific influences on search results.

Indexed as

Abstracting and IndexingAlgorithmsHumansInformation Storage and RetrievalMedical Subject HeadingsMEDLINEPubMedReproducibility of Results

Identifiers

PMID31258442
PMCPMC6579582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.