Evidence map›Paper›PMID 35742054›Full record

ArticleHealthcare (Basel, Switzerland)2022

A Comparison of Rehospitalization Risks on Diabetic and Non-Diabetic Patients after Recovery from Acute Coronary Syndrome.

Ho-Pang Yang, Shao-Jen Weng, Zih-Ping Ho, Yeong-Yuh Xu, Shih-Chia Liu, Yao-Te Tsai

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 1 country.

Ho-Pang YangDepartment of Cardiology, Show Chwan Memorial Hospital, Changhua 50008, Taiwan.
Shao-Jen WengDepartment of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan.
Zih-Ping HoDepartment of Medical Research, Show Chwan Memorial Hospital, Changhua 50008, Taiwan.
Yeong-Yuh XuDepartment of Computer Science and Information Engineering, Hungkuang University, Taichung 43302, Taiwan.
Shih-Chia LiuDepartment of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan.
Yao-Te TsaiDepartment of International Business, Feng Chia University, Taichung 40723, Taiwan.ORCID 0000-0003-3158-1517
Chang Bing Show Chwan Memorial Hospital · TWTunghai University · TWFeng Chia University · TWHungkuang University · TW

Funding

Show Chwan Memorial Hospital SRD-108023
6 · The paper itself

Abstract

backgroundThe purpose of this study is to investigate whether the risks of rehospitalization caused by acute coronary syndrome (ACS) or stroke would have significant differences between diabetic and non-diabetic patients from ACS.

methodsThis was a retrospective study of 364 inpatients with ACS from 2017 to 2019. Logistic regression models included gender, age group, and the principal diagnosis of hospitalization as controlling variables which were used to analyze the dataset.

resultsAbout 10% of patients are hospitalized after recovery. Moreover, regardless of suffering from diabetes, the risk of rehospitalization does not appear to show a significant difference. In comparison with non-diabetic patients, the odds ratio of rehospitalization of diabetic patients was 0.94 (95% CI: 0.46-1.93,

conclusionsDiabetic patients seem to perform well in controlling LDL-C (low-density lipoprotein cholesterol) after ACS recoveries.

Indexed as

acute coronary syndromediabetesLDL-C

Identifiers

PMID35742054
PMCPMC9222251
OpenAlexW4281956507

What OpenQuestion holds

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LicenceCC BY
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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.