Evidence map›Paper›PMID 34408960›Full record

ArticleCureus2021

Retrospective Analysis of COVID-19 Conversion Rate Among Anesthesiologists in Acute Care Centers.

Michael Yakobi, Harish Nandigam, James Fallon

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. 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
0.1field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Michael YakobiEmergency Department, Thomas Jefferson University Hospital, Philadelphia, USA.
Harish NandigamAnesthesiology, Saint Michael's Medical Center, Newark, USA.
James FallonClinical Research, Saint Michael's Medical Center, Newark, USA.
Saint Michael's Medical Center · USThomas Jefferson University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brief description of the primary research objective Among healthcare workers, anesthesiologists are regarded as frequently exposed frontline providers in the fight against COVID-19 due to their proximity to patient airways and involvement in aerosolized procedures. As such, the risk of contracting the COVID-19 virus as an occupational hazard is presumed to be higher. To date, in most published studies, all healthcare workers were grouped together, independent of specialty or profession. At the time that this survey was distributed, we did not find any peer-reviewed articles that differentiated COVID-19 infection rates among frontline, such as anesthesiologists vs. non-frontline healthcare workers. This retrospective survey's primary research objective was to report the rate of COVID-19 infection among anesthesiologists compared to the general population of healthcare workers. Methodology A survey was sent among anesthesiology attendings and residents in Northern New Jersey and Brooklyn, New York hospitals on duty during the peak pandemic from March 2020 to May 2020. Questions in the survey focused on infection rates and adherence to standards of infection precaution and personal protective equipment (PPE) utilization. Main Findings This retrospective study highlights the rate of infection among anesthesiologists as a particularly vulnerable subgroup of frontline residents and physicians, as they are called to duty when emergent airway management is required. In our study, the reported rate of contracting COVID-19 among anesthesiologists was 16.7%. This statistic is higher than the infection rates published by studies by New York State and the CDC. Conclusion The survey sent to anesthesiologists is useful to understand the impact of COVID-19 on this subgroup of frontline providers and the importance of adhering to standards of infection protocol and the role of PPE.

Indexed as

academic anesthesiologyacute care community hospitalsanesthesia educationcovid 19infection rates

Identifiers

PMID34408960
PMCPMC8362875
OpenAlexW3192198556

What Socratic holds

Textmetadata
LicenceCC BY
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.