Evidence map›Paper›PMID 34391636›Full record

ArticleJournal of diabetes and its complications2021

Data driven patterns of nutrient intake and coronary artery disease risk in adults with type 1 diabetes.

Susan M Devaraj, Rachel G Miller, Trevor J Orchard, Andrea M Kriska, Tiffany Gary-Webb, Tina Costacou

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes and its complications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Susan M DevarajUniversity of Pittsburgh Graduate School of Public Health, Department of Epidemiology, United States of America.
Rachel G MillerUniversity of Pittsburgh Graduate School of Public Health, Department of Epidemiology, United States of America.
Trevor J OrchardUniversity of Pittsburgh Graduate School of Public Health, Department of Epidemiology, United States of America.
Andrea M KriskaUniversity of Pittsburgh Graduate School of Public Health, Department of Epidemiology, United States of America.
Tiffany Gary-WebbUniversity of Pittsburgh Graduate School of Public Health, Department of Epidemiology, United States of America.
Tina CostacouUniversity of Pittsburgh Graduate School of Public Health, Department of Epidemiology, United States of America. Electronic address: CostacouT@edc.pitt.edu.
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

aimsDietary intake provides a potential intervention target to reduce the high risk for coronary artery disease (CAD) in type 1 diabetes. This effort aimed to identify patterns of nutrient intake in young/middle-aged adults with type 1 diabetes and to examine associations between those patterns and development of CAD.

methodsPrincipal component analysis was used to derive nutrient intake patterns among 514 individuals with childhood-onset (<17 years old) type 1 diabetes aged 18+ years and free of CAD (defined as CAD death, myocardial infarction, revascularization, ischemia, or study physician diagnosed angina). Cox models were used to assess the association between nutrient patterns and CAD incidence over 30-years of follow-up.

resultsThree nutrient principal components (PC) were identified: PC1 (high caffeine and saccharin intake), PC2 (high alcohol and caffeine, lower intake of essential nutrients) and PC3 (higher fiber/micronutrients, low alcohol). In unadjusted Cox models, only PC1 (negatively) and PC2 (positively) were associated with CAD risk. These associations were no longer significant after adjusting for diabetes duration.

conclusionsImportant dietary components underlying the three patterns identified may have been influenced by diabetes duration or age. Future research can continue to explore patterns of nutrient intake over time and CAD development in type 1 diabetes.

Indexed as

Energy IntakeAdolescentAdultCaffeineChildCoronary Artery DiseaseDiabetes Mellitus, Type 1EatingHumansMiddle AgedRisk FactorsCaffeineCoronary artery diseaseDietNutrientsProspective studiesType 1 diabetes

Identifiers

PMID34391636
PMCPMC8434996
OpenAlexW3191638140

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.