Evidence map›Paper›PMID 29301531›Full record

ArticleCardiovascular diabetology2018

Evaluation of the impact of glycemic status on the progression of coronary artery calcification in asymptomatic individuals.

Ki-Bum Won, Donghee Han, Ji Hyun Lee, Sang-Eun Lee, Ji Min Sung, Su-Yeon Choi, Eun Ju Chun, Sung Hak Park, Hae-Won Han, Jidong Sung and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cardiovascular diabetology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

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  10. The Mechanisms of the Development of Atherosclerosis in Prediabetes.International journal of molecular sciences · 2021
    Review
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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 6 institutions in 1 country.

Ki-Bum WonDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, South Korea.
Donghee HanDivision of Cardiology, Yonsei Cardiovascular Center, Yonsei University Health System, Seoul, South Korea.
Ji Hyun LeeDivision of Cardiology, Yonsei Cardiovascular Center, Yonsei University Health System, Seoul, South Korea.
Sang-Eun LeeDivision of Cardiology, Yonsei Cardiovascular Center, Yonsei University Health System, Seoul, South Korea.
Ji Min SungDivision of Cardiology, Yonsei Cardiovascular Center, Yonsei University Health System, Seoul, South Korea.
Su-Yeon ChoiDivision of Cardiology, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, South Korea.
Eun Ju ChunDivision of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.
Sung Hak ParkDivision of Radiology, Gangnam Heartscan Clinic, Seoul, South Korea.
Hae-Won HanDepartment of Internal Medicine, Gangnam Heartscan Clinic, Seoul, South Korea.
Jidong SungDivision of Cardiology, Heart Stroke & Vascular Institute, Samsung Medical Center, Seoul, South Korea.
Hae Ok JungDivision of Cardiology, Department of Internal Medicine, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
Hyuk-Jae ChangDivision of Cardiology, Yonsei Cardiovascular Center, Yonsei University Health System, Seoul, South Korea. hjchang@yuhs.ac.ORCID 0000-0002-6139-7545
Yonsei University Health System · KRSamsung Medical Center · KRSeoul National University Bundang Hospital · KRSeoul National University Hospital · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on the influence of glycemic status on the progression of coronary calcification, an important marker for future adverse cardiovascular events, are limited.

methodsData from the Korea Initiatives on Coronary Artery Calcification (KOICA) registry on 12,441 asymptomatic Korean adults (52 ± 9 years, 84.2% males) without previous history of coronary artery disease and stroke, who underwent serial coronary artery calcification (CAC) screening examinations, were included in this study. The median inter-scan period was 3.0 (2.0-4.8) years. All participants were categorized into three groups based on their glycemic status: normal (n = 6578), pre-diabetes (n = 4146), and diabetes (n = 1717). CAC progression was defined as a difference ≥ 2.5 between the square roots (√) of the baseline and follow-up CAC scores.

resultsThe incidence of CAC progression was significantly different between the three groups (normal, 26.3%; pre-diabetes, 30.9%; and diabetes, 46.9%; p < 0.001). In the univariate logistic analysis, the risk of CAC progression was higher in the pre-diabetes (odds ratio [OR] 1.253; 95% confidential interval [CI] 1.150-1.366) and diabetes (OR 2.471; 95% CI 2.215-2.758) groups than in the normal group (p < 0.001, both). In the multivariate logistic analysis, the risk of CAC progression was not significantly different between the normal and pre-diabetes groups but was significantly higher in the diabetes group than in the normal group.

conclusionsIn asymptomatic subjects, diabetes had an incremental impact on CAC progression; however, pre-diabetes did not increase the risk of CAC progression after adjusting for confounding factors.

Indexed as

Computed Tomography AngiographyMultidetector Computed TomographyAdultBiomarkersBlood GlucoseCoronary AngiographyCoronary Artery DiseaseDiabetes MellitusDisease ProgressionFemaleGlycated HemoglobinHumansIncidenceLongitudinal StudiesMaleMiddle AgedBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanCoronary artery calcificationDiabetesPre-diabetes

Identifiers

PMID29301531
PMCPMC5753542
OpenAlexW2782175076

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.