Evidence map›Paper›PMID 38747695›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

Doff Thy Gown-Shedding Contact Precautions for COVID-19.

Alexander S Rabin, Linsey C Marr, Henry M Blumberg

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. 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
–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

2 citing papers in PubMed.

  1. Discontinuing contact precautions for COVID-19: the science says its time.Infection control and hospital epidemiology · 2026
    Article
  2. Guilty by gown: reconsidering contact precautions for COVID-19.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    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

3 authors.

Alexander S RabinPulmonary Section, Veterans Affairs Ann Arbor Medical Center, Ann Arbor, Michigan, USA.ORCID 0000-0001-9667-0444
Linsey C MarrCivil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia, USA.ORCID 0000-0003-3628-6891
Henry M BlumbergDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-3110-2443

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Veterans Affairs Study of a Real-World Inhaler Delivery Device Transition on Climate and Health Outcomes (VA-SWITCH)I01HX003774 · VA · VETERANS HEALTH ADMINISTRATION · PI Hallie Christine Prescott, Alexander Solomon Rabin · 2024 to 2026
–
HSRD VA I01 HX003774National Science Foundation CBET-1936319NCATS NIH HHS UL1 TR002378NIH HHS UL1TR002378US Department of Veterans Affairs Office of Health Systems Research IIR 23-032Wellcome LeapWellcome Trust
6 · The paper itself

Abstract

SARS-CoV-2 is predominantly transmitted through aerosols (ie, airborne transmission); however, the US Centers for Disease Control and Prevention continue to recommend the use of contact precautions (a gown and gloves) for the care of patients with COVID-19. Infection-prevention guidelines should reflect the current science and eliminate this wasteful practice.

Indexed as

COVID-19Protective ClothingSARS-CoV-2AerosolsCenters for Disease Control and Prevention, U.S.Gloves, ProtectiveHumansInfection ControlUnited StatesAerosolsclimate changecontact precautionsCOVID-19infection prevention and controlsustainability

Identifiers

PMID38747695
PMCPMC11426274

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.