Evidence map›Paper›PMID 38745831›Full record

ArticleFrontiers in pediatrics2024

Diagnostic testing for chest pain in a pediatric emergency department and rates of cardiac disease before and during the COVID-19 pandemic: a retrospective study.

Ayhan Atmanli, Kenneth Yen, Amy Z Zhou

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2024. 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.

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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.

Ayhan AtmanliDivision of Pediatric Emergency Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Kenneth YenDivision of Pediatric Emergency Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Amy Z ZhouDivision of Pediatric Emergency Medicine, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Chest pain is a common chief complaint in pediatric emergency departments (EDs). Coronavirus disease-2019 (COVID-19) has been shown to increase the risk of cardiac disease. It remains unclear how COVID-19 changed how pediatric emergency clinicians approach patients presenting with chest pain. The goal of this study was to characterize the diagnostic testing for chest pain in a pediatric ED before and during the COVID-19 pandemic. Methods: This was a retrospective study of children between the ages of 2-17 years presenting to a pediatric ED from 1/1/2018-2/29/2020 (Pre-COVID-19) and 3/1/2020-4/30/2022 (COVID-19) with chest pain. We excluded patients with a previous history of cardiac disease. Results: Of the 10,721 encounters during the study period, 5,692 occurred before and 5,029 during COVID-19. Patient demographics showed minor differences by age, weight, race and ethnicity. ED encounters for chest pain consisted of an average of 18% more imaging studies during COVID-19, including 14% more EKGs and 11% more chest x-rays, with no difference in the number of echocardiograms. Compared to Pre-COVID-19, 100% more diagnostic tests were ordered during COVID-19, including cardiac markers Troponin I ( Conclusions: During COVID-19, pediatric patients with chest pain underwent more diagnostic testing compared to Pre-COVID-19. This may be due to higher patient acuity, emergence of multisystem inflammatory syndrome in children (MIS-C) that necessitated more extensive testing and possible changes in ED clinician behavior during COVID-19.

Indexed as

cardiac diseasechest painCOVID-19diagnostic testingMIS-C

Identifiers

PMID38745831
PMCPMC11091279

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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.