Evidence map›Paper›PMID 24636682›Full record

ArticlePediatric diabetes2014

Hemoglobin A1c assay variations and implications for diabetes screening in obese youth.

Christine L Chan, Kim McFann, Lindsey Newnes, Kristen J Nadeau, Philip S Zeitler, Megan Kelsey

Open access · bronzeAbstract read
In one paragraph

Article in Pediatric diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Evaluation and Treatment of Prediabetes in Youth.The Journal of pediatrics · 2020
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Comparison of A1C to Oral Glucose Tolerance Test for the Diagnosis of Prediabetes in Overweight and Obese Youth.Clinical diabetes : a publication of the American Diabetes Association · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

6 authors at 2 institutions in 1 country.

Christine L ChanChildren's Hospital Colorado, Aurora, CO, USA.
Kim McFann
Lindsey Newnes
Kristen J Nadeau
Philip S Zeitler
Megan Kelsey
Boston Children's Hospital · USUniversity of Colorado Denver · US

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
Training Program in Diabetes ResearchT32DK063687 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Andrea Steck · 2002 to 2026
$5.2M
K12 Career DevelopmentK12DK094712 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI STECK, ANDREA · 2011 to 2021
$4.5M
NCATS NIH HHS UL1 TR000154NCATS NIH HHS UL1 TR001082NIDDK NIH HHS K12 DK094712NIDDK NIH HHS T32 DK063687
6 · The paper itself

Abstract

backgroundStandardization of the hemoglobin A1c (A1c) assay has led to its increasing utilization as a screening tool for the diagnosis of prediabetes and type 2 diabetes in youth. However, significant A1c assay variability remains and has implications for clinical management.

objectiveTo describe our center's experiences with A1c results in youth and to evaluate inter-method differences and their clinical implications. SUBJECTS: Seventy-five youth (aged 10-18 yr old), body mass index (BMI) ≥85th‰ participated.

methodsSeventy-two participants had two A1c values performed on the same sample, one via immunoassay (DCA Vantage Analyzer, A1c1 ) and the other via high performance liquid chromatography (Bio-Rad Variant II, A1c2 ). Nineteen had A1c run on two immunoassay devices (A1c1 and Dimensions Vista, A1c3 ).

resultsMean age of participants was 13.9 years, BMI% 97.89%, 33% male, 16% white, 21% black, and 61% Hispanic (H). Mean A1c1 was 5.68% ± 0.38 vs. a mean A1c2 of 5.73% ± 0.39, p = 0.049. Concordance in diabetes status between methods was achieved in 79% of subjects. Nineteen subjects with A1c3 results had testing performed an average of 22 ± 9 days prior to A1c1 . Mean A1c3 was 6.24% ± 0.4, compared to a mean A1c1 of 5.74% ± 0.31, (p < 0.0001). A1c1 was on average systematically -0.5 ± 0.28 lower compared to A1c3 . There was poor agreement in diabetes classification between A1c1 and A1c3 , with a concordance in classification between methods of only 36.8%.

conclusionsClinically significant inter-method A1c variability exists that impacts patient classification and treatment recommendations. In the screening of obese youth for diabetes, A1c results should be interpreted with caution.

Indexed as

Mass ScreeningAdolescentBlood GlucoseBody Mass IndexChildCohort StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleObserver VariationPediatric ObesityPrediabetic StateBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanhemoglobin A1cobesityprediabetestype 2 diabetes

Identifiers

PMID24636682
PMCPMC4167160
OpenAlexW2094843985

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.