Evidence map›Paper›PMID 39315181›Full record

ArticleHeliyon2024

COVID-19 and diabetes research: Where are we now and what does the future hold? A bibliometric visualization analysis.

Xunlan Zhang, Ru Wen, Hengzhi Chen, Jian Liu, Yu Wu, Min Xu, Rongpin Wang, Xianchun Zeng

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. 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

8 authors.

Xunlan ZhangZunyi Medical University, No.6 Xuefu West Road, Xinpu District, 563000, Zunyi City, China.
Ru WenDepartment of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, 550002, Guiyang City, China.
Hengzhi ChenZunyi Medical University, No.6 Xuefu West Road, Xinpu District, 563000, Zunyi City, China.
Jian LiuDepartment of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, 550002, Guiyang City, China.
Yu WuDepartment of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, 550002, Guiyang City, China.
Min XuDepartment of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, 550002, Guiyang City, China.
Rongpin WangDepartment of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, 550002, Guiyang City, China.
Xianchun ZengDepartment of Medical Imaging, Guizhou Provincial People Hospital, No.83, East Zhongshan Road, Nanming District, 550002, Guiyang City, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objective: The extensive spread of Coronavirus disease 2019 (COVID-19) worldwide has caused a dramatic negative impact on many individuals' health. This study aims to systematically and comprehensively analyze the current status and possible future directions of diabetes mellitus (DM) and COVID-19 research. Methods: We obtained publications about COVID-19 and DM from the Web of Science Core Collection (WoSCC) using the search terms "COVID-19″ and similar terms combined with "DM" and similar terms, with a date range of January 2020 to May 2024. And we used CiteSpace V 6.3.R2 to perform the bibliometric visualization analysis. Results: The search enrolled 6266 publications. The USA is a country with the most publications; Harvard University was the most productive institution in this field. The highest-ranked journal was the PLOS ONE, and the most cited journal was Lancet. The 20 most cited journals have all been cited 28754 times, accounting for 28 % of the total cites; the range of those journals was 790-3197. Publications on COVID-19 and DM research exhibited a distinct trajectory, shifting from an initial emphasis on understanding the impact of diabetes on COVID-19 infection and its associated pathophysiological mechanisms to a focus on analyzing the differential responses of diverse patient populations. Subsequently, research has progressed to examine the effects of medications and vaccines, as well as the long-term consequences of COVID-19 in diabetic individuals. Throughout this research endeavor, the exploration of diverse therapeutic interventions, their efficacy, and ultimate outcomes have consistently remained a paramount focus. And " metabolic syndrome," " long COVID," and " gestational diabetes" are still likely to be the hotspots and frontiers of research in the future. Conclusions: This bibliometric analysis related to DM in COVID-19 illuminates the current research situation and developmental trends, supporting researchers in the exploration of prospective directions for research.

Indexed as

Bibliometric analysisCiteSpaceCOVID-19Diabetes mellitusPandemicVisualization analysis

Identifiers

PMID39315181
PMCPMC11417241

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.