Evidence map›Paper›PMID 38846635›Full record

Observational studyCritical care explorations2024

COVID-19 Pandemic and Impact on Research Publications in Critical Care.

Syrus Razavi, Arjun Sharma, Cassidy Lavin, Ali Pourmand, Norma Smalls, Quincy K Tran

Abstract readObservational Study
In one paragraph

Observational study in Critical care explorations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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.

Syrus RazaviDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD.
Arjun SharmaDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD.
Cassidy LavinDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD.
Ali PourmandDepartment of Emergency Medicine, The George Washington University School of Medicine and Health Sciences, Washington DC.
Norma SmallsDivision of Trauma and Critical Care, Howard University Hospital, Washington, DC.
Quincy K TranDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe COVID-19 pandemic precipitated a significant transformation of scientific journals. Our aim was to determine how critical care (CC) journals and their impact may have evolved during the COVID-19 pandemic. We hypothesized that the impact, as measured by citations and publications, from the field of CC would increase.

designObservational study of journal publications, citations, and retractions status.

settingAll work was done electronically and retrospectively. SUBJECTS: The top 18 CC journals broadly concerning CC, and the top 5 most productive CC journals on the SCImago list.

interventionsNone. MEASUREMENTS AND MAIN

resultsFor the top 18 CC journals and specifically

conclusionsCitation activity across top CC journals underwent a dramatic increase during the COVID-19 pandemic without significant retraction data. These trends suggest that the impact of CC has grown significantly since the onset of COVID-19 while maintaining adherence to a high-quality peer-review process.

Indexed as

COVID-19Critical CarePeriodicals as TopicBibliometricsBiomedical ResearchHumansJournal Impact FactorPandemicsPublishingRetraction of Publication as TopicRetrospective StudiesSARS-CoV-2bibliometricsCOVID-19 pandemicexplosivepublishingPubMed

Identifiers

PMID38846635
PMCPMC11155547

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.