Evidence map›Paper›PMID 34315809›Full record

ArticlePediatrics2021

Hemoglobin A1c Patterns of Youth With Type 1 Diabetes 10 Years Post Diagnosis From 3 Continents.

Jennifer L Sherr, Anke Schwandt, Helen Phelan, Mark A Clements, Reinhard W Holl, Paul Z Benitez-Aguirre, Kellee M Miller, Joachim Woelfle, Thomas Dover, David M Maahs and 2 more

Abstract read
In one paragraph

Article in Pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jennifer L SherrDivision of Pediatric Endocrinology, Department of Pediatrics, Yale School of Medicine, Yale University, New Haven, Connecticut jennifer.sherr@yale.edu.
Anke SchwandtInstitute of Epidemiology and Medical Biometry, Zentralinstitut für Biomedizinische Technik, Ulm University, Ulm, Germany.
Helen PhelanJohn Hunter Children's Hospital, Newcastle, Australia.
Mark A ClementsChildren's Mercy Hospital, Kansas City, Missouri.
Reinhard W HollInstitute of Epidemiology and Medical Biometry, Zentralinstitut für Biomedizinische Technik, Ulm University, Ulm, Germany.
Paul Z Benitez-AguirreDivision of Child and Adolescent Health, The University of Sydney, Sydney, Australia.
Kellee M MillerJaeb Center for Health Research, Tampa, Florida.
Joachim WoelfleChildren's Hospital, University of Erlangen, Erlangen, Germany.
Thomas DoverIpswich Hospital, Brisbane, Australia.
David M MaahsStanford Diabetes Research Center.
Elke Fröhlich-ReitererDepartment of Pediatrics and Adolescent Medicine, Medical University of Graz, Graz, Austria.
Maria E CraigDivision of Child and Adolescent Health, The University of Sydney, Sydney, Australia.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

objectivesDistinct hemoglobin A1c (HbA1c) trajectories during puberty are identified in youth with established type 1 diabetes (T1D). We used data from 3 international registries to evaluate whether distinct HbA1c trajectories occur from T1D onset.

methodsParticipants were <18 years old at diagnosis with at least 1 HbA1c measured within 12 months post diagnosis, along with ≥3 duration-year-aggregated HbA1c values over 10 years of follow-up. Participants from the Australasian Diabetes Data Network (

resultsFive distinct trajectories occurred in all 3 registries, with similar patterns of proportions by group. More than 50% had stable HbA1c categorized as being either low stable or intermediate stable. Conversely, ∼15% in each registry were characterized by stable HbA1c >8.0% (high stable), and ∼11% had values that began at or near the target but then increased (target increase). Only ∼5% of youth were above the target from diagnosis, with an increasing HbA1c trajectory over time (high increase). This group differed from others, with higher rates of minority status and an older age at diagnosis across all 3 registries (

conclusionsSimilar postdiagnostic HbA1c patterns were observed across 3 international registries. Identifying the youth at the greatest risk for deterioration in HbA1c over time may allow clinicians to intervene early, and more aggressively, to avert increasing HbA1c.

Indexed as

AdolescentChildChild, PreschoolDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansInternationalityMaleRegistriesTime FactorsGlycated Hemoglobin

Identifiers

PMID34315809
PMCPMC8785705

What OpenQuestion holds

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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.