Evidence map›Paper›PMID 38715286›Full record

ArticleJournal of diabetes science and technology2024

Correlation Between the Glycemia Risk Index and Longitudinal Hemoglobin A1c in Children and Young Adults With Type 1 Diabetes.

Kelsey Panfil, Jacob M Redel, Craig A Vandervelden, Brent Lockee, Anna R Kahkoska, Erin M Tallon, David D Williams, Mark A Clements

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2024. 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. Observational
  2. Article
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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

8 authors.

Kelsey PanfilChildren's Mercy Kansas City, Kansas City, MO, USA.ORCID 0000-0001-5530-0471
Jacob M RedelChildren's Mercy Kansas City, Kansas City, MO, USA.ORCID 0000-0003-3978-8491
Craig A VanderveldenChildren's Mercy Kansas City, Kansas City, MO, USA.ORCID 0000-0003-1185-7563
Brent LockeeChildren's Mercy Kansas City, Kansas City, MO, USA.ORCID 0009-0008-3746-0541
Anna R KahkoskaThe University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-2701-101X
Erin M TallonChildren's Mercy Kansas City, Kansas City, MO, USA.ORCID 0000-0003-1353-6632
David D WilliamsChildren's Mercy Kansas City, Kansas City, MO, USA.ORCID 0000-0003-0501-3751
Mark A ClementsChildren's Mercy Kansas City, Kansas City, MO, USA.ORCID 0000-0002-2368-0331

Funding

CTSA K12 Program at UNCK12TR004416 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michelle Hernandez, Jonathan J Juliano · 2023 to 2026
$6.5M
NCATS NIH HHS K12 TR004416
6 · The paper itself

Abstract

backgroundThe glycemia risk index (GRI) is a composite metric developed and used to estimate quality of glycemia in adults with diabetes who use continuous glucose monitor (CGM) devices. In a cohort of youth with type 1 diabetes (T1D), we examined the utility of the GRI for evaluating quality of glycemia between clinic visits by analyzing correlations between the GRI and longitudinal glycated hemoglobin A1c (HbA1c) measures.

methodUsing electronic health records and CGM data, we conducted a retrospective cohort study to analyze the relationship between the GRI and longitudinal HbA1c measures in youth (T1D duration ≥1 year; ≥50% CGM wear time) receiving care from a Midwest pediatric diabetes clinic network (March 2016 to May 2022). Furthermore, we analyzed correlations between HbA1c and the GRI high and low components, which reflect time spent with high/very high and low/very low glucose, respectively.

resultsIn this cohort of 719 youth (aged = 2.5-18.0 years [median = 13.4; interquartile range [IQR] = 5.2]; 50.5% male; 83.7% non-Hispanic White; 68.0% commercial insurance), baseline GRI scores positively correlated with HbA1c measures at baseline and 3, 6, 9, and 12 months later (r = 0.68, 0.65, 0.60, 0.57, and 0.52, respectively). At all time points, strong positive correlations existed between HbA1c and time spent in hyperglycemia. Substantially weaker, negative correlations existed between HbA1c and time spent in hypoglycemia.

conclusionsIn youth with T1D, the GRI may be useful for evaluating quality of glycemia between scheduled clinic visits. Additional CGM-derived metrics are needed to quantify risk for hypoglycemia in this population.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Glycated HemoglobinAdolescentChildChild, PreschoolFemaleHumansHyperglycemiaLongitudinal StudiesMaleRetrospective StudiesRisk FactorsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanblood glucosediabetes complicationsdiabetes mellitusglycemic indicesyouth

Identifiers

PMID38715286
PMCPMC11307230

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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.