Evidence map›Paper›PMID 33605492›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2021

Heterogeneous long-term trajectories of glycaemic control in type 1 diabetes.

Rachel G Miller, Trevor J Orchard, Suna Onengut-Gumuscu, Wei-Min Chen, Stephen S Rich, Tina Costacou

Abstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. BMJ open diabetes research & care · 2023
    Article
  3. Article
  4. Article
  5. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rachel G MillerDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-1845-8477
Trevor J OrchardDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Suna Onengut-GumuscuCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Wei-Min ChenCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
Tina CostacouDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-9303-3810

Funding

EPIDEMIOLOGY OF DIABETIC COMPLICATIONS--PHASE IIR01DK034818 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COSTACOU, TINA · 1986 to 2019
$5.6M
NIDDK NIH HHS R01 DK034818
6 · The paper itself

Abstract

aimsWe aimed to identify long-term HbA1c trajectories and examine associated characteristics in an observational, childhood-onset (<17 years) type 1 diabetes cohort.

methodsData are from the Epidemiology of Diabetes Complications study, comprising 405 participants with ≥2 of seven possible HbA1c measurements over follow-up (1988-2013) and available DNA (baseline mean diabetes duration 21 years, 53% men). HbA1c trajectories were estimated using latent class growth models. Baseline and change in participant characteristics were compared across trajectories.

resultsFive HbA1c trajectories were identified: low (51%), intermediate stable (22%), improved (19%), high stable (6%), and worsened (2%; not included in analyses). Age, diabetes duration, diabetes onset age, and sex did not differ across trajectories. Characteristics did not differ significantly between intermediate stable and low trajectories at baseline, though albumin excretion rate (AER, p = 0.0002) and estimated glomerular filtration rate (eGFR, p = 0.001) worsened slightly more in intermediate stable over time. Improved and high stable trajectories had higher baseline LDL-c (p = 0.002 and 0.003, respectively). Improved trajectory increased median self-monitoring of blood glucose from <1 to 3.5 times/day (p < 0.0001) and had larger LDL-c improvement (p = 0.004) but greater worsening of AER (p < 0.0001) and eGFR (p < 0.0001) than low. The A allele of rs12970134 (near MC4R) was associated with improved (p = 0.0003) or high stable (p = 0.001) HbA1c trajectory, both patterns with high baseline HbA1c.

conclusionsLong-term HbA1c trajectories were primarily associated with modifiable factors in this type 1 diabetes cohort. The intermediate stable pattern had a risk factor profile that suggests some protection against adverse metabolic effects of chronic hyperglycaemia, warranting further study.

Indexed as

ForecastingAdultBlood GlucoseDiabetes Mellitus, Type 1FemaleFollow-Up StudiesGlycated HemoglobinGlycemic ControlHumansMaleProspective StudiesRisk FactorsYoung AdultBlood GlucoseGlycated Hemoglobincohort studyglycaemic controlHbA1clatent class growth modelstrajectoriestype 1 diabetes

Identifiers

PMID33605492
PMCPMC8295176

What OpenQuestion holds

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LicenceTDM
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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.