Evidence mapPaperPMID 39366507Full record

ArticleEndocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists2024

Random C-Peptide and Islet Antibodies at Onset Predict β Cell Function Trajectory and Insulin Dependence in Pediatric Diabetes.

Mustafa Tosur, Saima Deen, Xiaofan Huang, Serife Uysal, Marcela Astudillo, Richard A Oram, Maria J Redondo, Farook Jahoor, Ashok Balasubramanyam

Abstract read
In one paragraph

Article in Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists, 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
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

1 citing paper in PubMed.

  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

9 authors.

Mustafa TosurDivision of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas; Children's Nutrition Research Center, USDA/ARS, Department of Pediatrics, Baylor College of Medicine, Houston, Texas. Electronic address: mustafa.tosur@bcm.edu.
Saima DeenDepartment of Pediatrics, Research Resources Office, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.
Xiaofan HuangInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas.
Serife UysalDivision of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas.
Marcela AstudilloDivision of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas.
Richard A OramInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
Maria J RedondoDivision of Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas.
Farook JahoorChildren's Nutrition Research Center, USDA/ARS, Department of Pediatrics, Baylor College of Medicine, Houston, Texas.
Ashok BalasubramanyamDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, Texas.

Funding

Investigation of Arginine Metabolism and Its Effects on Beta Cell Function in Children with Type 2 DiabetesK23DK129821 · BAYLOR COLLEGE OF MEDICINE · 2025 to 2025
$185k
NIDDK NIH HHS K23 DK129821
6 · The paper itself

Abstract

objectiveIdentification of prognostic biomarkers in pediatric diabetes is important for precision medicine. We assessed whether C-peptide and islet autoantibodies are useful to predict the natural history of children with new-onset diabetes.

methodsWe prospectively studied 72 children with new-onset diabetes (median follow-up: 8 months) by applying the Aβ classification system ("A+": islet autoantibody positive, "β+": random serum C-peptide ≥1.3 ng/mL at diagnosis). Beta-cell function was assessed longitudinally with 2 hours postprandial/stimulated urinary C-peptide-to-creatinine ratio (UCPCR) 3-12 weeks (V1) and 6 to 12 months after diagnosis (V2). We obtained a type 1 diabetes genetic risk score for each participant, and compared characteristics at baseline, and clinical outcomes at V2.

resultsThe cohort was 50% male. Racial distribution was 76.4% White, 20.8% Black, and 2.8% Asian or other races. A total of 46.5% participants were Hispanic. Median age (Q1-Q3) was 12.4 (8.3-14.5) years. The Aβ subgroup frequencies were 46 A+β-(63.9%), 1 A-β-(1.4%), 4 A+β+(5.6%), and 21 A-β+(29.2%). Baseline serum C-peptide correlated with UCPCR at both V1 (r = 0.36, P = .002) and V2 (r = 0.47, P < .001). There were significant subgroup differences in age, race, frequency of diabetic ketoacidosis, and type 1 diabetes genetic risk score (P < .01). At V2, the 2 β-subgroups had lower UCPCR and higher hemoglobin A1c compared with the 2 β+ subgroups (P < .001 and P = .02, respectively). Thirty-eight percent of A-β+ but none of the other subgroups were insulin-independent at V2 (P < .001).

conclusionC-peptide and islet autoimmunity at diagnosis define distinct phenotypes and predict beta-cell function and insulin dependence 6 to 12 months later in racially/ethnically diverse children with new-onset diabetes.

Indexed as

AutoantibodiesC-PeptideDiabetes Mellitus, Type 1Insulin-Secreting CellsAdolescentBiomarkersChildFemaleHumansInsulinIslets of LangerhansMalePrognosisProspective StudiesAutoantibodiesBiomarkersC-PeptideInsulinAβ classificationC-peptideislet autoimmunitypediatric diabetestype 1 diabetestype 2 diabetes

Identifiers

PMID39366507
PMCPMC12863715

What Socratic 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 Socratic graph.