Evidence map›Paper›PMID 37289792›Full record

Observational studyPloS one2023

Identifying temporal variations in burn admissions.

Robel T Beyene, David P Stonko, Stephen P Gondek, Jonathan J Morrison, Bradley M Dennis

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2023. 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. Article
  2. 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

5 authors.

Robel T BeyeneDivision of Acute Care Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0001-7886-6398
David P StonkoDepartment of Surgery, The Johns Hopkins Hospital, Baltimore, Maryland, United States of America.ORCID 0000-0002-2804-2857
Stephen P GondekDivision of Acute Care Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Jonathan J MorrisonMayo Clinic Division of Vascular and Endovascular Surgery, Rochester, MN, United States of America.
Bradley M DennisDivision of Acute Care Surgery, Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0002-2419-2102

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariations in admission patterns have been previously identified in non-elective surgical services, but minimal data on the subject exists with respect to burn admissions. Improved understanding of the temporal pattern of burn admissions could inform resource utilization and clinical staffing. We hypothesize that burn admissions have a predictable temporal distribution with regard to the time of day, day of week, and season of year in which they present. STUDY

designA retrospective, cohort observational study of a single burn center from 7/1/2016 to 3/31/2021 was performed on all admissions to the burn surgery service. Demographics, burn characteristics, and temporal data of burn admissions were collected. Bivariate absolute and relative frequency data was captured and plotted for all patients who met inclusion criteria. Heat-maps were created to visually represent the relative admission frequency by time of day and day of week. Frequency analysis grouped by total body surface area against time of day and relative encounters against day of year was performed.

results2213 burn patient encounters were analyzed, averaging 1.28 burns per day. The nadir of burn admissions was from 07:00 and 08:00, with progressive increase in the rate of admissions over the day. Admissions peaked in the 15:00 hour and then plateaued until midnight (p<0.001). There was no association between day of week in the burn admission distribution (p>0.05), though weekend admissions skewed slightly later (p = 0.025). No annual, cyclical trend in burn admissions was identified, suggesting that there is no predictable seasonality to burn admissions, though individual holidays were not assessed.

conclusionTemporal variations in burn admissions exist, including a peak admission window late in the day. Furthermore, we did not find a predictable annual pattern to use in guiding staffing and resource allocation. This differs from findings in trauma, which identified admission peaks on the weekends and an annual cycle that peaks in spring and summer.

Indexed as

HospitalizationPatient AdmissionBurn UnitsCohort StudiesHumansLength of StayRetrospective Studies

Identifiers

PMID37289792
PMCPMC10249893

What OpenQuestion holds

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Registered trials

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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.