Evidence map›Paper›PMID 37942462›Full record

ArticleOpen forum infectious diseases2023

Antibiotic Use Among Hospitalized Patients With COVID-19 in the United States, March 2020-June 2022.

Christine Kim, Hannah Wolford, James Baggs, Sujan Reddy, Lauri A Hicks, Melinda M Neuhauser, Sarah Kabbani

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Antimicrobial use before and during COVID-19: data from 108 Veterans Affairs medical centers.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    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

7 authors.

Christine KimDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0001-6211-911X
Hannah WolfordDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
James BaggsDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sujan ReddyDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lauri A HicksDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Melinda M NeuhauserDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Sarah KabbaniDivision of Healthcare Quality Promotion, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a retrospective study to describe antibiotic use among US adults hospitalized with a COVID-19 diagnosis. Despite a decrease in overall antibiotic use, most patients hospitalized with COVID-19 received antibiotics on admission (88.1%) regardless of critical care status, highlighting that more efforts are needed to optimize antibiotic therapy.

Indexed as

antibiotic useantimicrobial stewardshipCOVID-10epidemiology

Identifiers

PMID37942462
PMCPMC10629359

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.