Evidence map›Paper›PMID 33034919›Full record

ArticleJournal of clinical laboratory analysis2021

Glycosylated hemoglobin A1c predicts coronary artery disease in non-diabetic patients.

Yildiz Kayali, Aclan Ozder

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
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  3. Review
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  8. Observational
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  10. Review
  11. HbA1c as an Independent Predictor of Peripheral Artery Disease: Nonlinear Threshold and Causal Evidence from NHANES and Mendelian Randomization.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Observational
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

2 authors at 1 institution in 1 country.

Yildiz KayaliMedical Faculty, Department of Family Medicine, Bezmialem Vakif University, Istanbul, Turkey.
Aclan OzderMedical Faculty, Department of Family Medicine, Bezmialem Vakif University, Istanbul, Turkey.ORCID https://orcid.org/0000-0003-2254-1812
Bezmiâlem Vakıf Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn primary care, there is a need for simple and cost-effective tool that will allow the determination of the risk of coronary artery disease (CAD). We aimed to research the value of glycosylated hemoglobin (HbA1c) in the prediction of coronary artery disease.

methodsPatients admitted to the outpatient clinic of the Cardiology for angiography were retrospectively screened. Patients with diabetes or with HbA1c of 6.5 or above were excluded. Comparative HbA1c data were obtained according to the stenosis groups. Logistic regression analysis was used to investigate the risk factors affecting stenosis positivity.

resultsOf the study group, 120 patients were without any stenosis in any coronary artery, 56 patients were with >50% stenosis in one coronary artery, and 71 patients were with >50% stenosis in more than one coronary artery. There was a statistically significant difference between HbA1c measurements according to the degree of stenosis (P = .001 and P < .01, respectively). The odd ratio for HbA1c was 6.260 (95% CI: 3,160-12,401). According to the stenosis positivity, the cutoff point for HbA1c was found to be 5.6 and above. In the regression analysis, HbA1c was an independent risk factor for CAD. One unit increase in HbA1c level increases the risk of stenosis up to 12.4-fold (95% CI: 5,990-25,767).

conclusionThe study showed HbA1c can be used as an independent marker in determining the probability and severity of coronary artery disease in non-diabetic individuals and as a useful marker in primary care predicting CAD.

Indexed as

AdultAgedAged, 80 and overBiomarkersConstriction, PathologicCoronary AngiographyCoronary Artery DiseaseDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleMiddle AgedPrediabetic StateROC CurveBiomarkersGlycated Hemoglobincoronary artery diseasehemoglobin A1cnon-diabeticprediabeticprimary care

Identifiers

PMID33034919
PMCPMC7891500
OpenAlexW3092564726

What OpenQuestion holds

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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.