Evidence map›Paper›PMID 39440254›Full record

SynthesisFrontiers in neurology2024

Quantifying the association between stroke and dementia: a bibliometric study.

Xinyi Bian, Zibin Zhao, Xiaoping Gao

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2024. 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

3 authors.

Xinyi BianDepartment of Rehabilitation, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zibin ZhaoThe First School of Clinical Medicine, Bengbu Medical University, Bengbu, China.
Xiaoping GaoDepartment of Rehabilitation, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke and dementia are two serious neurological disorders in modern medicine. Studies have revealed a significant link between the two, but there is still a lack of bibliometric analysis in this area. The objective of this study is to use bibliometric analysis to investigate the connection between stroke and dementia, as well as to assess the current state of research in this field and identify future trends. Methods: The publications from the Web of Science were Collection and retrieved for the last 22 years (2002-2023). CiteSpace, VOSviewer, and the R package Bibliometrix were used to conduct bibliometric analysis. GraphPad Prism was used to plot. Results: A total of 1,309 publications were included in the analysis. The number of articles on dementia and stroke has continued to grow steadily over the past 22 years. While China is the country with the most articles, the most influential and widely researched countries are England and the United States. The keyword analysis illustrates that the prevention of dementia through stroke prevention is a major focus and trend in this research area. Conclusion: This study provides a visual analysis method for measuring the association between stroke and dementia, and examines the current state of research in this area and future research trends. In the future, dementia caused by stroke needs to be emphasized, and prevention of dementia through stroke prevention is a research priority.

Indexed as

bibliometricCiteSpacedementiastrokeVOSviewer

Identifiers

PMID39440254
PMCPMC11493744

What OpenQuestion holds

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Registered trials

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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.