Evidence map›Paper›PMID 22111048›Full record

ArticleDiabetes & metabolism journal2011

Higher glycated hemoglobin level is associated with increased risk for ischemic stroke in non-diabetic korean male adults.

Hyung Geun Oh, Eun-Jung Rhee, Tae-Woong Kim, Kyung Bok Lee, Jeong-Ho Park, Kwang-Ik Yang, Dushin Jeong, Hyung-Kook Park

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

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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

16 citing papers in PubMed, 21 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

8 authors at 2 institutions in 1 country.

Hyung Geun OhDepartment of Neurology, Soonchunhyang University College of Medicine, Cheonan, Korea.
Eun-Jung Rhee
Tae-Woong Kim
Kyung Bok Lee
Jeong-Ho Park
Kwang-Ik Yang
Dushin Jeong
Hyung-Kook Park
Soonchunhyang University · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of glycated hemoglobin (HbA1c) in the prediction of ischemic stroke in non-diabetic subjects is not clear. We performed a study to analyze the role of HbA1c in the risk prediction of ischemic stroke in non-diabetic Korean males adult.

methodsA total of 307 non-diabetic male patients with ischemic stroke were enrolled, and 253 age-matched control subjects without a history of diabetes, hypertension, or cardiovascular disease were selected from a Health Check-up database. Anthropometric measurement data, fasting glucose level, lipid profile, and HbA1c level were available for all subjects. Associations of the variables and the presence or absence of ischemic stroke were analyzed.

resultsThe ischemic stroke patient group had significantly higher HbA1c levels (5.8±0.5% vs. 5.5±0.5%, P<0.01) and mean systolic and diastolic blood pressure compared with the control group. Among the variables, smoking, low high density lipoprotein cholesterol, systolic blood pressure, and HbA1c were the significant determinants for ischemic stroke. The highest quartile of HbA1c showed a 9.6-fold increased odds ratio for ischemic stroke compared with the lowest quartile of HbA1c (odds ratio, 9.596; 95% confidence interval, 3.859 to 23.863, P<0.01). The proportion of ischemic stroke patients showed a significant trend for increment as the deciles of HbA1c increased (P for trend <0.01).

conclusionHigher HbA1c indicated a significantly increased risk for ischemic stroke after adjusting for other confounding variables in non-diabetic Korean adult males. HbA1c might have significance in predicting the risk for ischemic stroke even in the non-diabetic range.

Indexed as

Glycated hemoglobinKoreansStroke

Identifiers

PMID22111048
PMCPMC3221032
OpenAlexW2068912758

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.