Evidence map›Paper›PMID 39596716›Full record

ArticleAntibiotics (Basel, Switzerland)2024

Characteristics and Antibiotic Treatment of Patients with Cellulitis in the Emergency Department.

Aaron K Wiederhold, Mariana B Cartuliares, Karin Jeppesen, Helene Skjøt-Arkil

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2024. 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

4 authors.

Aaron K WiederholdFaculty of Health Sciences, University of Southern Denmark, 5230 Odense, Denmark.
Mariana B CartuliaresDepartment of Emergency Medicine, University Hospital of Southern Denmark, 6200 Aabenraa, Denmark.ORCID 0000-0003-0923-6960
Karin JeppesenDepartment of Regional Health Research, University of Southern Denmark, 6200 Aabenraa, Denmark.
Helene Skjøt-ArkilDepartment of Emergency Medicine, University Hospital of Southern Denmark, 6200 Aabenraa, Denmark.ORCID 0000-0002-2236-6375

Funding

Hospital Sønderjylland 20/20505Region of Southern Denmark A583University of Southern Denmark 17/10636
6 · The paper itself

Abstract

backgroundCellulitis is a common infection in Emergency Departments (EDs), and unclear diagnostics may lead to unnecessary treatment with broad-spectrum antibiotics. The aim of this study was to characterize patients with cellulitis admitted to the ED, describe the type and route of antibiotic treatment and compare the prognosis for cellulitis to that for other infections.

methodsThis multicenter, cross-sectional study prospectively included adult patients admitted to the ED suspected of having an infection. Data were collected from medical records, and an expert panel assigned a final diagnosis to each patient. Only patients diagnosed with an infection were included in this study.

resultsA total of 777 patients were included, of which 77 were diagnosed with cellulitis. Diabetes, obesity and prior cellulitis were associated with cellulitis with an OR of 2.01 [95% CI: 1.17-3.46], OR 2.66 [95% CI: 1.54-4.59] and OR 14.88 [95% CI: 7.88-28.08], respectively. The majority of the patients were treated, according to the regional guidelines, with narrow-spectrum antibiotics. Broad-spectrum antibiotics were rarely used. The patients with cellulitis were hospitalized for a shorter time compared to those with other infections, but 26% were readmitted within 30 days. The 30-day mortality of the patients with cellulitis was 3.9% and did not differ significantly from other infections.

Indexed as

antibioticscellulitisemergency departmentskin and soft tissue infection

Identifiers

PMID39596716
PMCPMC11591235

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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.