Evidence map›Paper›PMID 39911756›Full record

ReviewJournal of multidisciplinary healthcare2025

Research Progress and Trends in Exercise Interventions for Mild Cognitive Impairment: A Bibliometric Visualization Analysis Using CiteSpace.

Qifeng Han, Sung Min Kim

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Exergaming and Cognitive Function Research: A Bibliometric Visualization Analysis Using CiteSpace.Inquiry : a journal of medical care organization, provision and financing
    Review
  3. 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

2 authors.

Qifeng HanDepartment of Physical Education, Hanyang University, Seoul, Republic of Korea.ORCID 0009-0005-8656-9859
Sung Min KimDepartment of Physical Education, Hanyang University, Seoul, Republic of Korea.ORCID 0000-0002-0590-9868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: With the increasing global aging population, exercise interventions for mild cognitive impairment (MCI) have gained significant research attention. This study uses CiteSpace6.3R2 to systematically analyze the research progress and emerging trends in this field. Methods: A comprehensive literature search in the Web of Science Core Collection focused on exercise interventions for MCI. After screening, 420 relevant publications were imported into CiteSpace6.3R2 for bibliometric analysis, generating visual maps of keywords, authors, institutions, and other key indicators. Results: Publications on exercise interventions for MCI have shown steady growth, with Conclusion: Research on exercise interventions for MCI has been steadily gaining attention, becoming an interdisciplinary research area in fields such as geriatrics and neuroscience, with relevant findings concentrated in specific journals. In the collaboration network, developed countries dominate, showing systematic patterns of inter-institutional collaboration, while author collaborations are primarily focused within institutions. Current research is centered on the design and mechanisms of exercise intervention programs. Future studies will prioritize integrated intervention strategies, systematic evidence synthesis, and personalized interventions for specific populations.

Indexed as

bibliometricCiteSpacecognitive dysfunctionexercise interventionexercise therapymild cognitive impairmentvisualization analysis

Identifiers

PMID39911756
PMCPMC11794398

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.