Evidence map›Paper›PMID 39561364›Full record

ArticleJournal of medical Internet research2024

Added Value of Medical Subject Headings Terms in Search Strategies of Systematic Reviews: Comparative Study.

Victor Leblanc, Aghiles Hamroun, Raphaël Bentegeac, Bastien Le Guellec, Rémi Lenain, Emmanuel Chazard

Abstract readComparative Study
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 5 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

11 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  5. Pooled it
  6. Review
  7. Article
  8. Adult social care nursing: A hybrid concept analysis.International journal of nursing studies advances · 2026
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  10. Review
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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

6 authors.

Victor LeblancPublic Health Department, CHU Lille, Université de Lille, Lille, France.ORCID 0009-0006-2103-405X
Aghiles HamrounPublic Health Department, CHU Lille, Université de Lille, Lille, France.ORCID 0000-0003-4988-206X
Raphaël BentegeacPublic Health Department, CHU Lille, Université de Lille, Lille, France.ORCID 0000-0003-3608-6240
Bastien Le GuellecPublic Health Department, CHU Lille, Université de Lille, Lille, France.ORCID 0000-0002-3618-4791
Rémi LenainPublic Health Department, CHU Lille, Université de Lille, Lille, France.ORCID 0000-0001-6317-9763
Emmanuel ChazardPublic Health Department, CHU Lille, Université de Lille, Lille, France.ORCID 0000-0001-7841-5925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe massive increase in the number of published scientific articles enhances knowledge but makes it more complicated to summarize results. The Medical Subject Headings (MeSH) thesaurus was created in the mid-20th century with the aim of systematizing article indexing and facilitating their retrieval. Despite the advent of search engines, few studies have questioned the relevance of the MeSH thesaurus, and none have done so systematically.

objectiveThe objective of this study was to estimate the added value of using MeSH terms in PubMed queries for systematic reviews (SRs).

methodsSRs published in 4 high-impact medical journals in general medicine over the past 10 years were selected. Only SRs for which a PubMed query was provided were included. Each query was transformed to obtain 3 versions: the original query (V1), the query with free-text terms only (V2), and the query with MeSH terms only (V3). These 3 queries were compared with each other based on their sensitivity and positive predictive values.

resultsIn total, 59 SRs were included. The suppression of MeSH terms had an impact on the number of relevant articles retrieved for 24 (41%) out of 59 SRs. The median (IQR) sensitivities of queries V1 and V2 were 77.8% (62.1%-95.2%) and 71.4% (42.6%-90%), respectively. V1 queries provided an average of 2.62 additional relevant papers per SR compared with V2 queries. However, an additional 820.29 papers had to be screened. The cost of screening an additional collected paper was therefore 313.09, which was slightly more than triple the mean reading cost associated with V2 queries (88.67).

conclusionsOur results revealed that removing MeSH terms from a query decreases sensitivity while slightly increasing the positive predictive value. Queries containing both MeSH and free-text terms yielded more relevant articles but required screening many additional papers. Despite this additional workload, MeSH terms remain indispensable for SRs.

Indexed as

Information Storage and RetrievalMedical Subject HeadingsHumansPubMedSystematic Reviews as Topiccomparative analysisliterature reviewmedical knowledgeMedical Subject HeadingsMeSHMeSH thesauruspositive predictive valuePPVPubMedreviewscientific knowledgesearch strategysystematic literature reviewsystematic reviewutility

Identifiers

PMID39561364
PMCPMC11615561

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.