Evidence map›Paper›PMID 37567948›Full record

ArticleScientific reports2023

24-h PCI model does affect the outcome of STEMI patients: 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 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

5 authors.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction has been the second leading cause of death in Taiwan. It's a novel issue to evaluate the relationship between the 24-h PCI service model and the outcome of STEMI patients. The objective of this study was to determine the effect of 24-h PCI service model in STEMI patients to improving survival rate. This population-based cohort study included those STEMI patients, older than 18 year-old, who had ever called emergency department from 2012 to 2018. We had two groups of our study participant, one group for STEMI patients with 24-h PCI model and the other group for STEMI patients with non-24-h PCI model. We used the Logistic regression model to analyze the risk of death within 30 days, emergency department (ED) revisits within 3 days, and readmission within 14 days. After the relevant variables were controlled, the risk of death after an ED visit among the patients with STEMI who were sent to hospitals with 24-h PCI services was significantly lower than that among the patients with STEMI who were sent to hospitals without 24-h PCI services (OR 0.85; 95% CI 0.75-0.98). However, the model could not reduce the risk of ER revisits and readmission.

Indexed as

Myocardial InfarctionPercutaneous Coronary InterventionST Elevation Myocardial InfarctionAdolescentCohort StudiesEmergency Service, HospitalHumansTreatment Outcome

Identifiers

PMID37567948
PMCPMC10421952

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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.