Evidence map›Paper›PMID 39224486›Full record

ArticleJournal of multidisciplinary healthcare2024

A Bibliometric Analysis of Post-COVID-19 Syndrome.

Hongtao Liu, Zhaoyu Li, Su Yan, Shaopeng Ming

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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.

Hongtao LiuClinical Medical School, Guangxi Health Science College, Nanning, People's Republic of China.ORCID 0000-0001-5532-5599
Zhaoyu LiAnesthesiology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Su YanAnesthesiology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Shaopeng MingAnesthesiology Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The goal of this study is to explore the research advancements on Post-COVID-19 syndrome, through bibliometric analysis, thus summarizing our current comprehension of the subject and suggesting directions for future research strategies. Methods: We acquired literature data from the Web of Science Core Collection (WoSCC) and conducted keyword and country analyses utilizing CiteSpace and R-project tools. Results: Until November 2, 2022, a total of 3633 publications were cataloged from WoSCC. The key terms commonly associated with Post-COVID-19 syndrome symptoms included: immune response, posttraumatic stress disorder, depression, acute lung injury, mental health, and quality of life. The United States emerged as leading in both producing the most research and fostering international cooperation. It was observed that the output of publications from a country is directly proportional to the cumulative number of COVID-19 cases and deaths therein. Conclusion: Utilizing bibliometric analysis, the study highlights the detrimental impact of mental health issues on Post-COVID-19 patients' quality of life, emphasizing the urgency for further research and treatment. The sheer scale of COVID-19 cases underscores this need, while international collaboration emerges as a pivotal tool for advancing our understanding and addressing this challenge.

Indexed as

bibliometricsmental healthPost-COVID-19 Syndrome

Identifiers

PMID39224486
PMCPMC11368144

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.