Evidence map›Paper›PMID 23019393›Full record

ArticleThe Korean journal of internal medicine2012

Associations between hemoglobin concentrations and the clinical characteristics of patients with type 2 diabetes.

Jin Ook Chung, Dong Hyeok Cho, Dong Jin Chung, Min Young Chung

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact, top 87% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jin Ook ChungDivision of Endocrinology and Metabolism, Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Dong Hyeok Cho
Dong Jin Chung
Min Young Chung
Chonnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsMany studies have demonstrated an association between hemoglobin levels and cardiovascular disease in diabetic patients. The aim of this study was to determine whether there is an association between hemoglobin concentrations and various clinical parameters, including metabolic factors, plasma C-peptide response after a meal tolerance test, and microvascular complications, in Korean patients with type 2 diabetes.

methodsIn total, 337 male patients with type 2 diabetes were recruited. All subjects were subjected to a meal tolerance test and underwent assessment of hemoglobin levels, fasting and postprandial β-cell responsiveness, and microvascular complications.

resultsPatients with lower hemoglobin concentrations had a longer duration of diabetes, a lower body mass index, and lower concentrations of total cholesterol, triglycerides, and low-density lipoprotein cholesterol. They also had lower levels of postprandial C-peptide, Δ C-peptide, and postprandial β-cell responsiveness. They had a higher prevalence of retinopathy and nephropathy. In multivariate analyses, there was a significant association between nephropathy and hemoglobin concentration. Also, hemoglobin concentrations were independently associated with Δ C-peptide levels and postprandial β-cell responsiveness.

conclusionsHemoglobin concentrations are associated with postprandial C-peptide responses and diabetic nephropathy in patients with type 2 diabetes.

Indexed as

AgedBiomarkersBlood GlucoseC-PeptideCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesDiabetic RetinopathyHemoglobinsHumansInsulin-Secreting CellsLinear ModelsLipidsLogistic ModelsMaleMiddle AgedBiomarkersBlood GlucoseC-PeptideHemoglobinsLipidsDiabetes complicationsDiabetes mellitus, type 2Hemoglobins

Identifiers

PMID23019393
PMCPMC3443721
OpenAlexW2131427439

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.