Evidence map›Paper›PMID 37061678›Full record

ArticleBMC cardiovascular disorders2023

Stress hyperglycemia ratio: an independent predictor for in-hospital major adverse cardiovascular and cerebrovascular events in patients with st-segment elevation myocardial infarction.

Wen Guo, Jiajia Zhu, Wenxian Liu

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Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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.

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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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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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.

Wen GuoDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Jiajia ZhuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China.
Wenxian LiuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, 100029, China. 18911662882@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess the predictive accuracy of the stress hyperglycemia ratio (SHR) for in-hospital major adverse cardiovascular and cerebrovascular events (MACCE) in patients with ST-segment elevation myocardial infarction (STEMI).

methodsA total of 1,944 patients were enrolled within 24 h of a new STEMI diagnosis. The SHR was obtained by dividing the blood glucose level at admission by the estimated average glucose. MACCE were defined as acute cerebral infarction, mechanical complications of myocardial infarction, cardiogenic shock, and all-cause death. Patients were then categorized into the MACCE and non-MACCE groups according to the occurrence of in-hospital MACCE. Propensity score matching was used to balance confounding factors, and logistic regression was used to identify the potential predictive factors for MACCE.

resultsA total of 276 patients were included after 1:1 matching, and the confounding factors were balanced between the two groups. The SHR was an independent predictor of in-hospital MACCE (odds ratio = 10.06, 95% confidence interval: 4.16-27.64, P < 0.001), while blood glucose at admission was not. The SHR was also an independent predictor for in-hospital MACCE in nondiabetic patients with STEMI (odds ratio = 11.26, 95% confidence interval: 3.05-55.21, P < 0.001).

conclusionSHR is an independent predictor of in-hospital MACCE in patients with acute STEMI, especially in nondiabetic patients.

Indexed as

HyperglycemiaMyocardial InfarctionPercutaneous Coronary InterventionST Elevation Myocardial InfarctionBlood GlucoseHospitalsHumansRisk FactorsTreatment OutcomeBlood GlucoseDiabetes mellitusMACCEStress hyperglycemia ratioST-segment elevation myocardial infarction

Identifiers

PMID37061678
PMCPMC10105954

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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.