Evidence map›Paper›PMID 37987349›Full record

ArticleTomography (Ann Arbor, Mich.)2023

Have Chest Imaging Habits Changed in the Emergency Department after the Pandemic?

Cüneyt Arıkan, Ejder Saylav Bora, Efe Kanter, Fatma Nur Karaarslan

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Cüneyt ArıkanDepartment of Emergency Medicine, Soma State Hospital, Manisa 45500, Turkey.ORCID 0000-0001-6823-5357
Ejder Saylav BoraDepartment of Emergency Medicine, Izmir Ataturk Training and Research Hospital, Izmir 35150, Turkey.ORCID 0000-0002-2448-2337
Efe KanterDepartment of Emergency Medicine, Izmir Kâtip Çelebi University, Izmir 35620, Turkey.ORCID 0000-0002-0208-950X
Fatma Nur KaraarslanDepartment of Emergency Medicine, Soma State Hospital, Manisa 45500, Turkey.ORCID 0000-0003-4465-9598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of patients undergoing tomography in the emergency department has increased in the last two decades. In the last few years, there has been a more significant increase due to the effects of the pandemic. This study aimed to determine the rate of patients who underwent chest imaging in the emergency department, the preferred imaging method, and the demographic characteristics of the patients undergoing imaging during the pre-pandemic and post-pandemic periods. This retrospective cross-sectional study included patients admitted to the emergency department between January 2019 and March 2023. The number of female, male, and total emergency admissions, the rate of patients who underwent chest X-ray (CXR) and chest computed tomography (CCT), and the age and gender distribution of the cases who underwent chest imaging were compared according to the pre-pandemic (January 2019-February 2020), pandemic (March 2020-March 2022), and post-pandemic (April 2022-March 2023) periods. Total emergency admissions were similar in the pre-pandemic and post-pandemic periods (pre-pandemic period: 21,984 ± 2087; post-pandemic period: 22,732 ± 1701). Compared to the pre-pandemic period, the CCT rate increased (pre-pandemic period: 4.9 ± 0.9, post-pandemic period: 7.46 ± 1.2), and the CXR rate decreased (pre-pandemic period: 16.6 ± 1.7%, post-pandemic period: 13.3 ± 1.9%) in the post-pandemic period (

Indexed as

PandemicsRadiography, ThoracicCross-Sectional StudiesEmergency Service, HospitalFemaleHumansMaleRetrospective Studieschest computed tomographychest imagingchest X-raypandemic

Identifiers

PMID37987349
PMCPMC10661323

What OpenQuestion holds

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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.