Evidence map›Paper›PMID 23801890›Full record

ArticleInternational journal of medical sciences2013

Hemoglobin A1c can identify more cardiovascular and metabolic risk profile in OGTT-negative Chinese population.

Guicheng Peng, Maohuan Lin, Kun Zhang, Jie Chen, Yifang Wang, Yu Yang, Jingfeng Wang, Hui Huang

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In one paragraph

Article in International journal of medical sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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  5. Assessment of Cardiovascular Risk Factors in Patients with Type 2 Diabetes in Upper Egypt Villages.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
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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 4 institutions in 1 country.

Guicheng PengDepartment of Internal Medicine, Dongguan Hengli Hospital, Dongguan, 523460 China.
Maohuan Lin
Kun Zhang
Jie Chen
Yifang Wang
Yu Yang
Jingfeng Wang
Hui Huang
Dongguan People’s Hospital · CNSun Yat-sen Memorial Hospital · CNSun Yat-sen University · CNKey Laboratory of Guangdong Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the significance of hemoglobin A1c (HbA1c) in cardiovascular and metabolic risk stratification among diabetes and non-diabetes in southern Chinese.

methodsIndigenous adults (aged more than or equal to 35 years) without known diabetes were enrolled in the cross-sectional survey. According to oral glucose tolerance test (OGTT), participants were categorized into OGTT-negative group and OGTT-positive group. Cardiovascular and metabolic risk profile was compared between different HbA1c levels (≥ 6.5% vs. < 6.5%) in each group.

resultsThe prevalence of OGTT-diagnosed diabetes was 6.45% (422/6540). In OGTT-negative group, subjects with HbA1c ≥ 6.5% were older, had higher prevalence of coronary heart disease, current smoking, hypertension, obesity and abdominal obesity. They also had higher body weight, waist-hip ratio, body mass index, glucose levels (fasting plasma glucose, 2-hour plasma glucose and HbA1c), and lipid levels (total cholesterol and low density lipoprotein cholesterol). In OGTT-positive group, patients with HbA1c ≥ 6.5% identified less cardiovascular and metabolic risk file than that in OGTT-negative group.

conclusionsSubjects with HbA1c ≥ 6.5% have more unfavorable cardiovascular and metabolic risk profile than those with HbA1c < 6.5%, especially in OGTT-negative population. More attention should be paid to this subgroup in clinical practice.

Indexed as

Glucose Tolerance TestAdultAgedCardiovascular DiseasesChinaCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleMetabolic DiseasesMiddle AgedRisk FactorsGlycated Hemoglobinhemoglobin A1c protein, humanDiabetes mellitusdiagnosishemoglobin A1coral glucose tolerance testrisk stratification

Identifiers

PMID23801890
PMCPMC3691802
OpenAlexW2121041588

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.