Evidence map›Paper›PMID 42798382›Full record

SynthesisFrontiers in neurology2026

A dual-database bibliometric analysis of post-COVID-19 condition and cognitive dysfunction (2021-2025).

Junlin Pu, Wenjie Chen, Hangcheng Jiang, Hong Yang

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

4 authors.

Junlin PuSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Wenjie ChenSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Hangcheng JiangSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Hong YangSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19), caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has posed a substantial global health challenge. Cognitive dysfunction is a prevalent and disabling manifestation of post-COVID-19 condition (PCC). This study aims to conduct a comprehensive bibliometric analysis of research on PCC and cognitive dysfunction. Methods: Publications on PCC and cognitive dysfunction published between 2021 and 2025 were retrieved from the Web of Science Core Collection (WoSCC) and Scopus. After screening according to inclusion criteria, Bibliometrix (R package), VOSviewer, and CiteSpace were employed for bibliometric and visualization analysis. Results: 746 publications from the WoSCC and 1,117 publications from Scopus were included. Over the past 5 years, the number of publications on PCC-related cognitive dysfunction has exhibited a gradual upward trend. The United States showed the highest publication output, while the University of London demonstrated the highest number of publications among institutions in this network. The Journal of Clinical Medicine showed prominent publication and citation-related indicators in this field. Keyword analysis revealed three primary theme domains, including psychological factors, oxidative stress and neuroinflammation. Keyword burst detection revealed that blood-brain barrier, choroid plexus, and endothelial cells represent emerging research frontiers. Conclusion: This bibliometric analysis systematically maps the global research landscape and evolving trends in PCC-related cognitive dysfunction. Our findings provide a broad overview of research development, collaboration patterns, and emerging topics, which may help generate hypotheses for future mechanistic investigations and clinical research.

Indexed as

BibliometricsCognitive DysfunctionCOVID-19HumansPost-Acute COVID-19 Syndromebibliometric analysiscognitive dysfunctionpost-COVID-19 conditionresearch hotspotsresearch trends

Identifiers

PMID42798382
PMCPMC13612207

What Socratic 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 Socratic graph.