Evidence map›Paper›PMID 36407464›Full record

ArticleFrontiers in cardiovascular medicine2022

The hemoglobin glycation index predicts the risk of adverse cardiovascular events in coronary heart disease patients with type 2 diabetes mellitus.

Shuai Xu, Zhen Qin, Ruixia Yuan, Xiaolin Cui, Li Zhang, Jing Bai, Gangqiong Liu, Zeyu Wang, Fengyi Yu, Yan Lv and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 26 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

12 authors at 3 institutions in 1 country.

Shuai XuDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhen QinDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ruixia YuanClinical Big Data Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaolin CuiSchool of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Li ZhangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jing BaiDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Gangqiong LiuDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zeyu WangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Fengyi YuDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan LvDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jinying ZhangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Junnan TangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNHenan Provincial Center for Disease Control and Prevention · CNFirst Affiliated Hospital of Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have shown that the hemoglobin glycation index (HGI) can be used as a predictor of diabetic complications. However, limited information is currently available to indicate the correlation between HGI and comorbidity of coronary heart disease (CHD) and diabetes. This study aimed to evaluate the potential of HGI to predict major adverse cardiovascular events (MACEs) in CHD patients with type 2 diabetes mellitus (T2DM) undergoing percutaneous coronary intervention (PCI). Materials and methods: A total of 918 CHD patients with T2DM were enrolled in a 3-year retrospective cohort study, from December 2017 to December 2020 at the First Affiliated Hospital of Zhengzhou University. Data including fasting blood glucose (FPG/FBG) and glycated hemoglobin A1c (HbA1c) were collected. HGI was calculated as actual measured HbA1c minus predicted HbA1c. Three groups were further divided based on the levels of HGI, including low, medium, and high levels. Result: Kaplan Meier analysis indicated that elevated HGI was strongly associated with the occurence of MACE (log-rank Conclusions: Hemoglobin glycation index is an independent predictor of MACE events in CHD patients with T2DM. High HGI indicates a higher risk of MACE occurrence.

Indexed as

coronary heart diseaseglycated hemoglobinhemoglobin glycation indexmajor adverse cardiovascular eventstype 2 diabetes

Identifiers

PMID36407464
PMCPMC9668857
OpenAlexW4307993425

What OpenQuestion holds

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LicenceCC BY
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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.