Evidence map›Paper›PMID 29366734›Full record

ArticleJournal of diabetes and its complications2018

Left ventricular systolic dysfunction predicts long-term major microvascular complication outcomes in type 1 diabetes. The Pittsburgh Epidemiology of Diabetes Complications (EDC) study of childhood onset diabetes.

Jingchuan Guo, Rachel G Miller, Tina Costacou, William P Follansbee, Trevor J Orchard

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

Article in Journal of diabetes and its complications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Jingchuan GuoDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.
Rachel G MillerDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.
Tina CostacouDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States.
William P FollansbeeDepartment of Cardiology, University of Pittsburgh Medical, Center, Pittsburgh, PA, United States.
Trevor J OrchardDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: tjo@pitt.edu.
University of Pittsburgh · USUniversity of Pittsburgh Medical Center · 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

objectivesWe aimed to assess association between abnormal LVEF, in the absence of coronary artery disease (CAD), and 25-year incidence of major outcomes of diabetes (MOD) in a cardiology substudy of the Pittsburgh Epidemiology of Diabetes Complications cohort of childhood-onset type 1 diabetes.

methods115 normotensive type 1 diabetes individuals without known CAD, underwent a baseline exercise radionuclide ventriculography. Abnormal LVEF was defined as a resting ejection fraction <50% or a failure to increase ejection fraction with exercise by >5% (men) or a fall in ejection fraction with exercise (women). Cox proportional hazards models were used to predict the composite endpoint of MOD (first instance of major CAD, stroke, end-stage renal disease, blindness, amputation or diabetes-related death).

resultsMean baseline age was 28 and diabetes duration 19 years. In a mean follow-up of 19 years, 50 MOD events were identified. Allowing for established risk factors at baseline, abnormal LVEF (n = 22) independently predicted MOD incidence (HR = 2.12, 95% CI: 1.12-4.00, p = 0.022) but not major CAD (HR = 1.33, 95% CI: 0.53-3.33, p = 0.539).

conclusionsAn abnormal LVEF may identify diabetic cardiomyopathy and predict long term risk of MOD (but not CAD alone) in type 1 diabetes individuals, consistent with it reflecting microvascular disease.

Indexed as

AdultCohort StudiesDiabetes ComplicationsDiabetes Mellitus, Type 1FemaleHumansIncidenceMaleProportional Hazards ModelsRisk FactorsVascular DiseasesVentricular Dysfunction, LeftYoung AdultDiabetic cardiomyopathyLeft ventricular ejection fractionMajor outcomes of diabetesMicrovascular complicationsType 1 diabetes

Identifiers

PMID29366734
PMCPMC5820228
OpenAlexW2781452791

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.