Evidence map›Paper›PMID 28344659›Full record

ArticleDiabetology & metabolic syndrome2017

Comparison of in-hospital glycemic variability and admission blood glucose in predicting short-term outcomes in non-diabetes patients with ST elevation myocardial infarction underwent percutaneous coronary intervention.

Shu-Hua Mi, Gong Su, Hong-Xia Yang, Yun Zhou, Lei Tian, Tao Zhang, Hong Tao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06993415 (Optimize Risk Prediction After Myocardial Infarction Through Artificial Intelligence and Multidimensional Evaluation), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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.

NCT06993415 recruitingnot on this mapstarted 2025, after this paper: background citation

Optimize Risk Prediction After Myocardial Infarction Through Artificial Intelligence and Multidimensional Evaluation: The ORACLE Study

TypeobservationalSponsorFundación Pública Andaluza para la Investigación de Málaga en Biomedicina y SaludRan2025 to 2028Enrolled750ConditionsMyocardial Infarction (MI)Armsdata collection
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Shu-Hua MiCenter of Cardiology, Beijing An Zhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, China.
Gong SuCenter of Cardiology, Beijing An Zhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, China.
Hong-Xia YangCenter of Cardiology, Beijing An Zhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, China.
Yun ZhouCenter of Cardiology, Beijing An Zhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, China.
Lei TianCenter of Cardiology, Beijing An Zhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, China.
Tao ZhangCenter of Cardiology, Beijing An Zhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing, China.
Hong TaoDepartment of Endocrinology, Beijing An Zhen Hospital, Capital Medical University, Beijing, China.
Beijing Anzhen Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAdmission hyperglycemia is associated with increased mortality and major adverse cardiac events (MACE) in patients with or without diabetes mellitus after acute myocardial infarction (AMI). However, effects of glycemic variability (GV) on outcomes of non-diabetes patients with AMI still remains unclear. The aim of this study is to compare the prognostic value of in-hospital GV with admission blood glucose (ABG) for 3-month MACE in non-diabetes patients with ST elevation myocardial infarction (STEMI) who underwent percutaneous coronary intervention (PCI).

methodsWe analyzed 256 non-diabetes patients with STEMI in study. The GV accessed by mean amplitude of glycemic excursions (MAGE) was calculated from blood glucose profiles of continuous glucose monitoring system (CGMS) during hospitalization. ABG was measured on admission. Main endpoints were 3-month MACE; secondary endpoints were GRACE scores and enzymatic infarct size. Predictive effects of MAGE and ABG on the MACE in patients were analyzed.

resultsIn all participants, MAGE level was associated with ABG level (r = 0.242, p < 0.001). Both elevated MAGE levels (p = 0.001) and elevated ABG (p = 0.046) were associated with incidences of short-term MACE. Patients with a higher MAGE level had a significantly higher cardiac mortality (5.8 vs. 0.6%, p = 0.017) and incidence of acute heart failure (12.8 vs. 2.4%, p = 0.001) during 3 months follow-up. In multivariable analysis, high MAGE level (HR 2.165, p = 0.023) was significantly associated with incidence of short-term MACE, but ABG (HR 1.632, p = 0.184) was not. The area under the receiver-operating characteristic curve for MAGE (0.690, p < 0.001) was superior to that for ABG (0.581, p = 0.076).

conclusionsTo compare with ABG, in-hospital GV may be a more important predictor of short-term MACE and mortality in non-diabetes patients with STEMI treated with PCI.

Indexed as

Acute myocardial infarctionAdmission blood glucoseGlycemic variabilityMajor adverse cardiac events

Identifiers

PMID28344659
PMCPMC5359987
OpenAlexW2598666666

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Registered trials

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.