Evidence map›Paper›PMID 30426170›Full record

ArticleDiabetologia2019

The role of coronary artery calcification testing in incident coronary artery disease risk prediction in type 1 diabetes.

Jingchuan Guo, Sebhat A Erqou, Rachel G Miller, Daniel Edmundowicz, Trevor J Orchard, Tina Costacou

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
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  8. Lipid management for cardiovascular risk reduction in type 1 diabetes.Current opinion in endocrinology, diabetes, and obesity · 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

6 authors at 3 institutions in 1 country.

Jingchuan GuoDepartment of Epidemiology, University of Pittsburgh, 3512 Fifth Avenue, Pittsburgh, PA, 15213, USA.ORCID 0000-0001-9799-2592
Sebhat A ErqouDepartment of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
Rachel G MillerDepartment of Epidemiology, University of Pittsburgh, 3512 Fifth Avenue, Pittsburgh, PA, 15213, USA.
Daniel EdmundowiczSection of Cardiology, Temple University Hospital, Philadelphia, PA, USA.
Trevor J OrchardDepartment of Epidemiology, University of Pittsburgh, 3512 Fifth Avenue, Pittsburgh, PA, 15213, USA. tjo@pitt.edu.
Tina CostacouDepartment of Epidemiology, University of Pittsburgh, 3512 Fifth Avenue, Pittsburgh, PA, 15213, USA.
University of Pittsburgh · USBrown University · USTemple University Hospital · US

Funding

Epidemiology of Diabetes Complications (EDC) Phase II: renewalR37DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ORCHARD, TREVOR J. · 2009 to 2018
$6.5M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
NIDDK NIH HHS R01 DK034818NIDDK NIH HHS R37 DK034818
6 · The paper itself

Abstract

aims/hypothesisWe sought to assess the role of coronary artery calcification (CAC) and its progression in predicting incident coronary artery disease (CAD) in individuals with type 1 diabetes using data from the Pittsburgh Epidemiology of Diabetes Complications (EDC) Study.

methodsThe present study examined 292 participants who had at least one CAC measure and were free from CAD at baseline; 181 (62%) had repeat CAC assessments 4-8 years later and did not develop CAD between the two CAC measures. The HRs of incident CAD events were estimated using Cox models in categorised or in appropriately transformed CAC scores. C statistics and net reclassification improvement (NRI) were used to assess the added predictive value of CAC for incident CAD.

resultsAt baseline, the mean age of participants was 39.4 years and the mean diabetes duration was 29.5 years. There were 76 participants who experienced a first incident CAD event over an average follow-up of 10.7 years. At baseline, compared with those without CAC (Agatston score = 0), the adjusted HR (95% CI) in groups of 1-99, 100-399 and ≥400 was 3.1 (1.6, 6.1), 4.4 (2.0, 9.5) and 4.8 (1.9, 12.0), respectively. CAC density was inversely associated with incident CAD in those with CAC volume ≥100 (HR 0.3 [95% CI 0.1, 0.9]) after adjusting for volume score. Among participants with repeated CAC measures, annual CAC progression was positively associated with incident CAD after controlling for baseline CAC. The HR (95% CI) for above vs below the median annual CAC volume progression was 3.2 (1.2, 8.5). When compared with a model that only included established risk factors, the addition of CAC improved the predictive ability for incident CAD events in the whole group. CONCLUSIONS/

interpretationCAC is strongly associated with incident CAD events in individuals with type 1 diabetes; its inclusion in CAD risk models may lead to improvement in prediction over established risk factors.

Indexed as

AdolescentAdultCoronary AngiographyCoronary Artery DiseaseDiabetes Mellitus, Type 1Diabetic AngiopathiesFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsRisk AssessmentRisk FactorsTomography, X-Ray ComputedVascular CalcificationCoronary artery calcificationCoronary artery disease risk predictionType 1 diabetes

Identifiers

PMID30426170
PMCPMC6324941
OpenAlexW2900695408

What OpenQuestion holds

Textmetadata
LicenceTDM
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.