Evidence mapPaperPMID 36637994Full record

Trial reportThe Journal of clinical endocrinology and metabolism2023

Hemoglobin A1c Variability Metrics Predict Coronary Artery Calcium and Cardiovascular Events in Type 1 Diabetes: The CACTI Study.

William B Horton, Janet K Snell-Bergeon

Registry-linked trialOpen access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in The Journal of clinical endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00005754 (Coronary Artery Calcification in Type 1 Diabetes), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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.

NCT00005754 completednot on this map

Coronary Artery Calcification in Type 1 Diabetes

TypeobservationalSponsorUniversity of Colorado, DenverRan1999 to 2008Enrolled1,420ConditionsCardiovascular Diseases, Heart Diseases, Coronary Disease, Diabetes Mellitus
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Higher HbACardiovascular diabetology · 2023
    Article
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 2 institutions in 1 country.

William B HortonDivision of Endocrinology and Metabolism, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA.ORCID 0000-0001-8081-1214
Janet K Snell-BergeonBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0002-9337-3740
University of Colorado Anschutz Medical Campus · USUniversity of Virginia · US

Funding

ZOPOLRESTAT PHARMACOKINETICS IN DIABETICS WITH VARYING RENAL FUNCTIONM01RR000051 · UNIVERSITY OF COLORADO DENVER · 1985 to 2005
$37.2M
UCHSC DIABETES ENDOCRINOLOGY RESEARCH CENTERP30DK057516 · UNIVERSITY OF COLORADO DENVER · 2000 to 2005
$7.4M
SUBCLINICAL HEART DISEASE IN INSULIN-DEPENDENT DIABETESR01HL061753 · UNIVERSITY OF COLORADO DENVER · 1999 to 2005
$3.8M
University of Colorado Anschutz Medical Campus DRCP30DK116073 · UNIVERSITY OF COLORADO DENVER · 2025 to 2025
$1.3M
Determinants of Accelerated CVD in Type 1 DiabetesR01HL079611 · UNIVERSITY OF COLORADO DENVER · 2004 to 2005
$1.2M
NCATS NIH HHS UL1 TR002535NCRR NIH HHS M01 RR000051NHLBI NIH HHS R01 HL061753NHLBI NIH HHS R01 HL079611NHLBI NIH HHS R01 HL113029NIDDK NIH HHS P30 DK057516NIDDK NIH HHS P30 DK116073NIH HHS M01 RR000051
6 · The paper itself

Abstract

contextInterventions that decrease mean glucose have reduced rates of micro- and macrovascular complications in type 1 diabetes (T1D). However, the difference in cardiovascular risk between people with T1D and the general population endures, suggesting that factors beyond hemoglobin A1C (HbA1c) normalization drive cardiovascular outcomes.

objectiveTo determine whether various HbA1c metrics predict anatomic cardiovascular disease (CVD) risk factors and/or CVD events in people with T1D.

methodsWe used linear regression to analyze the relationship of several HbA1c metrics to anatomic CVD risk factors and then used Cox regression to model their relationship to incident CVD events in the CACTI Study (ClinicalTrials.gov Identifier: NCT00005754).

resultsIn linear regression models adjusted for age, sex, and T1D duration, baseline Hba1c (b = 0.3998, P = 0.0236), mean HbA1c (b = 0.5385, P = 0.0109), and HbA1c SD (b = 1.1521, P = 0.0068) were each positively associated with square root transformed coronary artery calcium volume. Conversely, only mean HbA1c (b = 1.659, P = 0.0048) positively associated with pericardial adipose tissue volume. In survival models adjusted for age, sex, and T1D duration, baseline HbA1c [hazard ratio (HR): 1.471, 95% CI: 1.257-1.721], mean HbA1c (HR: 1.850, 95% CI: 1.511-2.264), time-varying HbA1c (HR: 1.500, 95% CI: 1.236-1.821), and HbA1c SD (HR: 1.665, 95% CI: 1.022-2.711) each independently predicted CVD events over 14.3 ± 5.2 person-years of follow-up. CONCLUSIONS/

interpretationWe found that various HbA1c metrics positively correlated with CAC volume and independently predicted incident CVD events in the CACTI T1D cohort. These associations with CVD events persisted for baseline HbA1c, mean HbA1c, and time-varying HbA1c even after adjustment for numerous CVD risk factors.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 1CalciumCalcium, DietaryCoronary VesselsGlycated HemoglobinHumansRisk FactorsCalciumCalcium, DietaryGlycated Hemoglobinatherosclerosisblood glucosecardiovascular diseasesglycated hemoglobin atype 1 diabetes mellitus

Identifiers

PMID36637994
PMCPMC10271220
OpenAlexW4315928237

What Socratic holds

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Registered trials

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 Socratic graph.