Evidence map›Paper›PMID 35635047›Full record

ArticlePerfusion2023

Global scientific outputs of extracorporeal membrane oxygenation in COVID-19: A bibliometric overview.

Behiye D Kosovali, Nevzat M Mutlu

Open access · greenAbstract read
In one paragraph

Article in Perfusion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Behiye D KosovaliDepartment of Critical Care, Ankara City Hospital, Ankara, Turkey.ORCID 0000-0001-9385-6542
Nevzat M MutluDepartment of Critical Care, Ankara City Hospital, Ankara, Turkey.ORCID 0000-0001-7981-3060
Memorial Ankara Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAlthough the number of global studies on ECMO, which is an important support system in the treatment of COVID-19 related respiratory failure, has increased in recent months, there is still no bibliometric study on the use of ECMO in COVID-19 in the literature. The aim of this study is to analyze the scientific articles on the use of ECMO in COVID-19 by statistical and bibliometric methods.

methodArticles published between 2019-2022 about the use of ECMO in COVID-19 were obtained from the Web of Science (WoS) database and analyzed using statistical and bibliometric methods. Spearman correlation coefficient was used for correlation studies. Network visualization maps were used to identify effe analysis and trending topics.

resultsA total of 1197 publications were found. 758 (63.3%) of these publications were articles. The top 3 contributing countries to the literature were USA (257, 33.9%), Germany (102, 13.4%) and Japan (87, 11.5%). The top 3 most active institutions were League of European Research Universities (90), Harvard University (50), and Udice French Research Universities (39). The top 3 journals with the highest count of publications were ASAIO Journal (

conclusionIt can be said that the use of ECMO in COVID-19 has been the trending topic recently and most of the studies are from countries in the ELSO Awards of Excellence list which indicates that the follow-up of ECMO in certain centers and teams can also be influencing the publications. This article can be a useful resource for clinicians, scientists, and students concerning global output for ECMO use in COVID-19.

Indexed as

COVID-19Extracorporeal Membrane OxygenationMedicineBibliometricsHumansPublicationsbibliometric analysisCOVID-19Extracorporeal membrane oxygenationtrends

Identifiers

PMID35635047
PMCPMC9152629
OpenAlexW4281692285

What OpenQuestion 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 OpenQuestion graph.