Evidence map›Paper›PMID 36340852›Full record

ArticleJournal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada2022

Antibiotic prescribing patterns among patients admitted to an academic teaching hospital for COVID-19 during the first wave of the pandemic in Toronto: A retrospective, controlled study.

Miranda So, Andrew M Morris, Alexander M Walker

Abstract read
In one paragraph

Article in Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Miranda SoSinai Health-University Health Network Antimicrobial Stewardship Program, Toronto, Ontario, Canada.
Andrew M MorrisSinai Health-University Health Network Antimicrobial Stewardship Program, Toronto, Ontario, Canada.
Alexander M WalkerHarvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmpirical antibiotics are not recommended for coronavirus disease 2019 (COVID-19).

methodsIn this retrospective study, patients admitted to Toronto General Hospital's general internal medicine from the emergency department for COVID-19 between March 1 and August 31, 2020 were compared with those admitted for community-acquired pneumonia (CAP) in 2020 and 2019 in the same months. The primary outcome was antibiotics use pattern: prevalence and concordance with COVID-19 or CAP guidelines. The secondary outcome was antibiotic consumption in days of therapy (DOT)/100 patient-days. We extracted data from electronic medical records. We used logistic regression to model the association between disease and receipt of antibiotics, linear regression to compare DOT.

resultsThe COVID-19, CAP 2020, and CAP 2019 groups had 67, 73, and 120 patients, respectively. Median age was 71 years; 58.5% were male. Prevalence of antibiotic use was 70.2%, 97.3%, and 90.8% for COVID-19, CAP 2020, and CAP 2019, respectively. Compared with CAP 2019, the adjusted odds ratio (aOR) for receiving antibiotics was 0.23 (95% CI 0.10 to 0.53,

conclusionsThere are opportunities for antimicrobial stewardship to address unnecessary antibiotic use.

Indexed as

antibioticscommunity-acquired pneumoniaCOVID-19stewardship

Identifiers

PMID36340852
PMCPMC9603018

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.