Evidence map›Paper›PMID 37788658›Full record

ArticleHormone research in paediatrics2024

Screening for Turner Syndrome-Associated Hyperglycemia: Evaluating Hemoglobin A1c and Fasting Blood Glucose.

Maria Graciela Parra Villasmil, Kelli K Ryckman, Andrew W Norris, Catherina T Pinnaro

Open access · greenAbstract read
In one paragraph

Article in Hormone research in paediatrics, 2024. 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
1.3field-weighted citation impact, top 17% 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, 4 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

4 authors at 2 institutions in 1 country.

Maria Graciela Parra VillasmilStead Family Department of Pediatrics, Division of Endocrinology and Diabetes, University of Iowa, Iowa City, Iowa, USA.
Kelli K RyckmanDepartment of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University, Bloomington, Indiana, USA.
Andrew W NorrisStead Family Department of Pediatrics, Division of Endocrinology and Diabetes, University of Iowa, Iowa City, Iowa, USA.
Catherina T PinnaroStead Family Department of Pediatrics, Division of Endocrinology and Diabetes, University of Iowa, Iowa City, Iowa, USA.
University of Iowa · USIndiana University Bloomington · US

Funding

Molecular and Cellular Research to Advance Childhood HealthK12HD027748 · NICHD · UNIVERSITY OF IOWA · PI ALEXANDER G BASSUK · 2002 to 2026
$9.2M
Early Pathogenesis of Cystic Fibrosis Related DiabetesRC2DK124207 · NIDDK · UNIVERSITY OF IOWA · PI ENGELHARDT, JOHN F, NORRIS, ANDREW W · 2021 to 2023
$4.5M
Splanchno-Hormonal Mechanisms of Cystic Fibrosis Related DiabetesR01DK115791 · NIDDK · UNIVERSITY OF IOWA · PI ENGELHARDT, JOHN F, NORRIS, ANDREW W · 2018 to 2021
$1.9M
Hyperglycemia in Turner syndrome: Mechanisms and X chromosome contributionsK23DK134810 · NIDDK · UNIVERSITY OF IOWA · PI PINNARO, CATHERINA · 2023 to 2025
$486k
NICHD NIH HHS K12 HD027748NIDDK NIH HHS K23 DK134810NIDDK NIH HHS R01 DK115791NIDDK NIH HHS RC2 DK124207
6 · The paper itself

Abstract

introductionIndividuals with Turner syndrome (TS) are at increased risk of developing diabetes mellitus (DM). Currently, annual DM screening with hemoglobin A1c (HbA1c) with or without fasting blood glucose (FBG) is recommended starting at age 10. However, the optimal DM screening for individuals with TS is not known. The purpose of this study was to evaluate the correlation between HbA1c, FBG, and the 2-h oral glucose tolerance test (OGTT). A second goal was to query whether optimal HbA1c and FBG cut points for TS-associated DM and impaired glucose tolerance (IGT), as defined by the OGTT 2-h blood glucose (BG), might differ from those for the general population.

methodsIndividuals with TS ≥ age 10 from the TS: Genotype Phenotype study in the National Institute of Child Health and Human Development's Data and Specimen Hub (DASH) who had 2-h OGTT BG, HbA1c, and FBG were included. Correlations between HbA1c, FBG, and 2-h OGTT BG were evaluated. Areas under the receiver operative characteristic (ROC-AUC) curves were generated. Optimal cut points for predicting TS-associated IGT (2-h BG ≥7.77 mmol/L) and DM (2-h BG ≥11.10 mmol/L) were determined.

results348 individuals had complete data (2-h OGTT BG <7.77 mmol/L, n = 239; TS-associated IGT, n = 79; DM, n = 30). ROC-AUC was poor for HbA1c to predict IGT (0.57, 0.49-0.65) but better for DM (0.81, 0.71-0.90). ROC-AUC was also poor for FBG to predict IGT (0.63, 0.56-0.70) but better for DM (0.85, 0.77-0.93). At a cut point of 38 mmol/mol (5.6%), HbA1c had 67% sensitivity (95% CI: 47-83%) and 86% specificity (95% CI: 82-90%) for identifying TS-associated DM defined by 2-h OGTT BG.

conclusionsThe correlation of HbA1c and 2-h OGTT BG is lower in TS than in other published studies regarding type 2 DM. HbA1c is fairly specific for DM in TS but lacks sensitivity, especially at currently utilized levels. Future research should focus on characterizing individuals with TS whose glycemic status is discordant, as this may provide additional insights into the pathophysiology of glucose metabolism in TS. Longitudinal assessment of glycemia as it relates to micro- and macrovascular complications in individuals with TS will further inform DM screening in this population.

Indexed as

Blood GlucoseGlucose Tolerance TestGlycated HemoglobinTurner SyndromeAdolescentAdultChildFastingFemaleGlucose IntoleranceHumansHyperglycemiaMaleBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanDiabetes mellitusFasting blood glucoseHemoglobin A1cOral glucose tolerance testTurner syndrome

Identifiers

PMID37788658
PMCPMC10987397
OpenAlexW4387327130

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.