Evidence map›Paper›PMID 42760929›Full record

SynthesisFrontiers in neurology2026

Ischemic stroke-specific cognitive dysfunction: a bibliometric analysis of research evolution.

Wenliang Ma, Lan Luo, Bingcang Huang, Ting Liu, Ying Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 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

5 authors.

Wenliang Ma *School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Lan Luo *School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Bingcang HuangDepartment of Radiology, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Ting LiuDepartment of Central Laboratory, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Ying WangTraditional Chinese Medicine Research and Development Laboratory, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-Stroke Cognitive Impairment (PSCI) is a common complication after stroke, significantly affecting patients' quality of life and long-term prognosis. Although PSCI has been extensively studied, most research combines ischemic and hemorrhagic strokes. Whether the distinct inflammatory mechanisms and vascular injury underlying ischemic stroke-specific cognitive dysfunction (ISCD) have followed an independent research trajectory remains unknown from a bibliometric perspective. Methods: Using the Web of Science Core Collection (2004-2024), our study identified 1,062 articles focused on ISCD for bibliometric analyses. Following cross-validation with PubMed confirming complete literature concordance, bibliometric tools (CiteSpace, VOSviewer, the R-based bibliometrix package) were employed to analyze publication trends, contributions and collaborations among countries, institutions, journals, and authors. Subgroup analyses quantified trends in inflammatory biomarkers, assessment tools and prediction models. Results: Annual publication peaked in 2022 ( Conclusion: This ischemic-specific bibliometric analysis confirms that inflammatory biomarkers, assessment tools, and prediction models are persistent hotspots in ISCD, with a clear ongoing shift from descriptive studies toward predictive model development and validation. These findings provide a quantitative literature-based rationale for guiding future research directions.

Indexed as

BibliometricsBiomedical ResearchCognitive DysfunctionIschemic StrokeHumansbibliometricscognitive dysfunctioninflammationischemic strokeprediction models

Identifiers

PMID42760929
PMCPMC13585521

What OpenQuestion holds

Textmetadata
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.