Evidence map›Paper›PMID 38632329›Full record

ArticleScientific reports2024

Inaccurate diagnosis of diabetes type in youth: prevalence, characteristics, and implications.

Mustafa Tosur, Xiaofan Huang, Audrey S Inglis, Rebecca Schneider Aguirre, Maria J Redondo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Diabetic Ketoacidosis and Long-term Insulin Requirements in Youths with Newly Diagnosed Type 2 Diabetes During the SARS-CoV-2 Pandemic.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Mustafa TosurThe Division of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, 77030, USA. mustafa.tosur@bcm.edu.
Xiaofan HuangInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Audrey S InglisSchool of Health Professions, Baylor College of Medicine, Houston, TX, USA.
Rebecca Schneider AguirreThe Division of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, 77030, USA.
Maria J RedondoThe Division of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, 77030, USA.
Baylor College of Medicine · USHouston Institute for Clinical Research · USTexas Children's Hospital · US

Funding

Type 1 diabetes genetic risk scores for the diagnosis of diabetes type in children of diverse racial and ethnic backgroundR01DK124395 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI REDONDO, MARIA JOSE · 2021 to 2024
$2.6M
Type 1 Diabetes Genetic Risk Score in TrialNetR01DK121843 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI REDONDO, MARIA JOSE · 2019 to 2023
$2.4M
Investigation of Arginine Metabolism and Its Effects on Beta Cell Function in Children with Type 2 DiabetesK23DK129821 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Mustafa Tosur · 2022 to 2026
$932k
NIDDK NIH HHS K23 DK129821NIDDK NIH HHS R01 DK121843NIDDK NIH HHS R01 DK124395
6 · The paper itself

Abstract

Classifying diabetes at diagnosis is crucial for disease management but increasingly difficult due to overlaps in characteristics between the commonly encountered diabetes types. We evaluated the prevalence and characteristics of youth with diabetes type that was unknown at diagnosis or was revised over time. We studied 2073 youth with new-onset diabetes (median age [IQR] = 11.4 [6.2] years; 50% male; 75% White, 21% Black, 4% other race; overall, 37% Hispanic) and compared youth with unknown versus known diabetes type, per pediatric endocrinologist diagnosis. In a longitudinal subcohort of patients with data for ≥ 3 years post-diabetes diagnosis (n = 1019), we compared youth with steady versus reclassified diabetes type. In the entire cohort, after adjustment for confounders, diabetes type was unknown in 62 youth (3%), associated with older age, negative IA-2 autoantibody, lower C-peptide, and no diabetic ketoacidosis (all, p < 0.05). In the longitudinal subcohort, diabetes type was reclassified in 35 youth (3.4%); this was not statistically associated with any single characteristic. In sum, among racially/ethnically diverse youth with diabetes, 6.4% had inaccurate diabetes classification at diagnosis. Further research is warranted to improve accurate diagnosis of pediatric diabetes type.

Indexed as

Diabetes Mellitus, Type 1Diagnostic ErrorsAdolescentChildC-PeptideDiabetic KetoacidosisFemaleHumansMalePrevalenceC-PeptideDiabetesMisdiagnosisPediatric diabetesType 1 diabetesType 2 diabetes

Identifiers

PMID38632329
PMCPMC11024140
OpenAlexW4394891357

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.