Evidence map›Paper›PMID 38293444›Full record

ArticleHeliyon2024

Visual analysis of hotspots and trends in long COVID research based on bibliometric.

Zongqiang Lai, Tao Pu, Jun Li, Facheng Bai, Lining Wu, Yunxia Tang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pentoxifylline in COVID-19 and considerations for its research in long COVID.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Pooled it
  2. Article
  3. Review
  4. 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

6 authors.

Zongqiang LaiThe Pharmaceutical Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Tao PuDepartment of Adolescent Gynecology, Shenzhen Children's Hospital, Shenzhen, Guangdong, PR China.
Jun LiThe Pharmaceutical Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Facheng BaiThe Pharmaceutical Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Lining WuThe Pharmaceutical Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Yunxia TangThe Pharmaceutical Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, a series of symptoms may persist for a long time, which is now called long COVID. It was found that long COVID can affect all patients with COVID-19. Therefore, long COVID has become a hot topic. In this study, we used the WOS database as a sample data source to conduct a bibliometric and visual analysis of 1765 long COVID articles over the past three years through VOSviewer and R package. The results show that countries/authors in Europe and The United States of America contribute most of the articles, and their cooperation is also the most active. Keyword co-occurrence identified four clusters, with important topics including the mechanism, clinical symptoms, epidemiological characteristics, and management/treatment of long COVID. Themes such as "cognitive impairment", "endothelial dysfunction", "diagnosis", and "biomarkers" are likely to be the focus of new attention in the coming period. In addition, we put forward the possible research opportunities on long COVID for researchers and practitioners to facilitate future research.

Indexed as

Bibliometric analysisCOVID-19Long COVIDResearch trendsVisual analysisVOSviewer

Identifiers

PMID38293444
PMCPMC10827472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.