Evidence map›Paper›PMID 42793392›Full record

ReviewBrain sciences2026

Brain Health Research in PubMed/MEDLINE: A Bibliometric Analysis of Thematic Structure and Health-Economic Terminology with a Conceptual Performance-Management Framework.

Ioannis Ch Lampropoulos, Georgia Xiromerisiou

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ioannis Ch LampropoulosDepartment of Business Administration, University of Patras, 26504 Patras, Greece.ORCID 0000-0002-8956-2178
Georgia XiromerisiouMindful Mind Institute of Preventive Neurology and Brain Health, 55133 Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesBrain health is an interdisciplinary field; however, the prominence of health-economic concepts within the PubMed/MEDLINE literature explicitly retrieved using the term 'brain health' has not been systematically characterized. The present study aimed to map the scientific landscape of the retrieved brain health literature and to examine the representation and network prominence of health-economic concepts within this corpus.

methodsTwo separate PubMed/MEDLINE searches were conducted using the exact search expression "brain health". The overall search was performed on 8 April 2026 and yielded an analytical corpus of 18,306 publications (1993-2026), while a separate search on 9 May 2026, restricted by publication year to 2023-2026, yielded the recent-period analytical corpus (

resultsThe overall keyword co-occurrence analysis identified five principal thematic clusters: neurobiological mechanisms (

conclusionsWithin the PubMed/MEDLINE corpus analyzed, health-economic concepts showed relatively low frequency and limited prominence in the principal keyword co-occurrence network. Because the analysis was restricted to PubMed/MEDLINE and used the exact search expression 'brain health', these findings characterize the retrieved corpus and should not be interpreted as evidence of a general disconnect between brain health and health economics across the broader multidisciplinary literature. Informed by the bibliometric findings and the broader literature discussed in the manuscript, a conceptual three-axis framework is subsequently proposed, comprising: (1) disease-cost assessment, (2) economic evaluation and return-on-investment assessment of preventive interventions, and (3) population-level brain health performance indicators.

Indexed as

bibliometric analysisbiomarkersbrain healthcost-effectivenesskeyword co-occurrencemachine learningneurodegenerationneuroinflammationperformance managementVOSviewer

Identifiers

PMID42793392
PMCPMC13604335

What OpenQuestion holds

Textmetadata
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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.