Evidence map›Paper›PMID 38040727›Full record

ArticleScientific reports2023

The association between the workload of emergency physicians and the outcomes of acute myocardial infarction: a population-based study.

Chang-Hung Tsai, Pei-Tseng Kung, Shun-Mu Wang, Tung-Han Tsai, Wen-Chen Tsai

Abstract read
In one paragraph

Article in Scientific reports, 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

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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
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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

5 authors.

Chang-Hung TsaiMiao-Li General Hospital, Ministry of Health and Welfare, Miaoli City, Taiwan, ROC.
Pei-Tseng Kung *Department of Healthcare Administration, Asia University, Taichung, Taiwan, ROC.
Shun-Mu WangDepartment of Senior Services Industry Management, Minghsin University of Science and Technology, Hsinchu, Taiwan, ROC.
Tung-Han TsaiDepartment of Health Services Administration, China Medical University, No. 100, Section 1, Jingmao Road, Beitun District, Taichung, 406040, Taiwan, ROC.
Wen-Chen Tsai *Department of Health Services Administration, China Medical University, No. 100, Section 1, Jingmao Road, Beitun District, Taichung, 406040, Taiwan, ROC. wtsai@mail.cmu.edu.tw.

Funding

China Medical University, Taiwan CMU112-ASIA-13
6 · The paper itself

Abstract

Acute myocardial infarction (AMI) is the second leading cause of mortality in Taiwan. The correlation between the workload of emergency physicians and the outcome of AMI remains unknown. To determine the effects of the workload of emergency physicians on the outcomes of AMI. We included 17 661 patients (age > 18 years) with STEMI undergoing PCI, who visited the emergency department between 2012 and 2018. We used the logistic regression model with generalized estimating equations (GEEs) to analyze the risk of death within 30 days after emergency department visit, the risk of emergency department revisits within 3 days, and the risk of readmission within 14 days in all subgroups. After covariate adjustment, the risk of mortality within 30 days after visiting the emergency department was significantly higher in the subgroup whose visiting emergency physicians had the highest workload (odds ratio [OR]: 1.39; 95% confidence interval [CI]: 1.12 to 1.72). Furthermore, the risk of revisiting the emergency department within 3 days after discharge from the hospital was significantly higher in the subgroup whose visiting emergency physicians' workload was within the second and third quartiles (OR 1.85; 95% CI 1.18 to 2.89). The workload of emergency physicians appears to be positively correlated with the mortality risk of patients with STEMI undergoing PCI.

Indexed as

Myocardial InfarctionPercutaneous Coronary InterventionST Elevation Myocardial InfarctionAdultEmergency Service, HospitalHumansMiddle AgedRetrospective StudiesRisk FactorsWorkload

Identifiers

PMID38040727
PMCPMC10692142

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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.