Evidence map›Paper›PMID 33190165›Full record

ArticleDiabetologia2021

Cardiovascular health in early adulthood predicts the development of coronary heart disease in individuals with type 1 diabetes: 25 year follow-up from the Pittsburgh Epidemiology of Diabetes Complications study.

Susan M Devaraj, Andrea M Kriska, Trevor J Orchard, Rachel G Miller, Tina Costacou

Open access · bronzeAbstract read
In one paragraph

Article in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 6% 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, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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

5 authors at 1 institution in 1 country.

Susan M DevarajDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3702-2874
Andrea M KriskaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3522-0869
Trevor J OrchardDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-9552-3215
Rachel G MillerDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-1845-8477
Tina CostacouDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA. CostacouT@edc.pitt.edu.ORCID 0000-0001-9303-3810
University of Pittsburgh · 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
Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2008 to 2026
$6.1M
EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
NHLBI NIH HHS T32 HL083825NIDDK NIH HHS R01 DK034818NIDDK NIH HHS R37 DK034818
6 · The paper itself

Abstract

aims/hypothesisType 1 diabetes increases CHD risk. We examined the use of the American Heart Association's cardiovascular health metrics (blood pressure, total cholesterol, glucose/HbA

methodsPrevalence of the seven cardiovascular health metrics was determined using first and second visits from adult participants (mean age 28.6 years) in the Epidemiology of Diabetes Complications prospective cohort study of childhood-onset type 1 diabetes. An ideal metric score (0-7) was defined as the sum of all metrics within the ideal range, and a total metric score (0-14) was calculated based on poor, intermediate and ideal categories for each metric. Incident CHD development (medical record-confirmed CHD death, myocardial infarction, revascularisation, ischaemic electrocardiogram changes or Epidemiology of Diabetes Complications physician-determined angina) over 25 years of follow-up was examined by metric scores.

resultsAmong 435 participants, BMI, blood pressure, total cholesterol and smoking demonstrated the highest prevalence within the ideal range, while diet and HbA CONCLUSIONS/

interpretationAmong individuals with type 1 diabetes, higher cardiovascular health metric scores were associated with lower risk of incident CHD. The American Heart Association-defined cardiovascular health metrics provide straightforward goals for health promotion that may reduce CHD risk in the type 1 diabetes population. Graphical abstract.

Indexed as

Health StatusHealthy LifestyleAdultBiomarkersBlood GlucoseBlood PressureCholesterolCoronary DiseaseDiabetes Mellitus, Type 1Diet, HealthyExerciseFemaleFollow-Up StudiesGlycated HemoglobinHealth Status IndicatorsHumansBiomarkersBlood GlucoseCholesterolGlycated Hemoglobinhemoglobin A1c protein, humanCardiac complicationsEpidemiologyExerciseHypertensionLipids/lipoproteinsNutrition and dietWeight regulation and obesity

Identifiers

PMID33190165
PMCPMC7867591
OpenAlexW3099595330

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.