Evidence map›Paper›PMID 36942396›Full record

ArticleJournal of Korean medical science2023

Comorbidities in the COVID-19 Pandemic: Scopus-Based Bibliometric Analysis.

Yuliya Fedorchenko, Olena Zimba

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Association Between Genetic Variants inDiagnostics (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Article
  9. 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

2 authors.

Yuliya Fedorchenko *Department of Pathophysiology, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, Ukraine. juliakozubash@gmail.com.ORCID https://orcid.org/0000-0002-5042-1191
Olena Zimba *Department of Clinical Rheumatology and Immunology, University Hospital in Krakow, Krakow, Poland.ORCID https://orcid.org/0000-0002-4188-8486

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComorbidities attract enormous attention amid the coronavirus disease 2019 (COVID-19) pandemic. Mapping knowledge based on these clinical conditions is increasingly important since the pandemic is still raging and primarily affecting subjects with chronic diseases and comorbidities. Clinical presentation and complications of COVID-19 are still hot topics which are explored in numerous evidence-based publications. The aim of this study was to analyze Scopus-indexed COVID-19 papers covering comorbidities.

methodsSearches through the Scopus database were performed on September 19, 2022 using the following keywords: "Diabetes mellitus" OR "Cardiovascular Diseases" OR "Rheumatic Diseases" OR "Obesity" OR "Malignancies" AND "COVID-19." All retrieved articles were analyzed using the following categories: document type, authorship, keywords, journal, citation score, country of origin, and language. Using the software tool VOSviewer version 1.6.18, we visualized the network of authors and keywords co-occurrence of the most prevalent comorbidities reported in connection with COVID-19.

resultsReports on COVID-19 and diabetes mellitus (DM) were most frequently published (n = 12,282). The US was the most productive country (n = 3,005) in the field of COVID-19 and comorbidities. There were 1,314 documents on COVID-19 and rheumatic diseases which is the least number in comparison with other comorbidities (COVID-19 and DM: 12,282, COVID-19 and cardiovascular disease: 9,911, COVID-19 and obesity: 7,070, and COVID-19 and malignancies: 1,758).

conclusionThis mapping of COVID-19-related documents in connection with comorbidities may prioritize future research directions.

Indexed as

Chronic DiseaseCOVID-19BibliometricsCardiovascular DiseasesComorbidityHumansNeoplasmsObesityPandemicsBibliometric AnalysisComorbiditiesCOVID-19Scopus

Identifiers

PMID36942396
PMCPMC10027540

What Socratic 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 Socratic graph.