ArticleJournal of autoimmunity2018
Predicting progression to diabetes in islet autoantibody positive children.
Article in Journal of autoimmunity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Impact of screening programmes for type 1 diabetes in youth: A systematic review and meta-analysis.Diabetic medicine : a journal of the British Diabetic Association · 2026Pooled it
- High BMI and the risk for incident type 1 Diabetes Mellitus: a systematic review and meta-analysis of aggregated cohort studies.Cardiovascular diabetology · 2023Pooled it
- Residual β cell function in long-term type 1 diabetes associates with reduced incidence of hypoglycemia.The Journal of clinical investigation · 2021Trial
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- Article
- Identifying Insulin Autoantibodies With Differential Risk in Type 1 Diabetes With a Novel Bridging ELISA.Diabetes · 2026Article
- Genetic Predictors of Response to Oral Insulin for Type 1 Diabetes Prevention.Diabetes care · 2026Article
- Are We Ready With Prevention for Type 1 Diabetes?Diabetes/metabolism research and reviews · 2025Review
- Serological markers of exocrine pancreatic function are differentially informative for distinguishing individuals progressing to type 1 diabetes.BMJ open diabetes research & care · 2025Article
- Predictors of Transitions From GADA as the Initial Autoantibody to Multiple Autoantibodies of Type 1 Diabetes in Children at Risk by a Dynamic Prediction Model.Pediatric diabetes · 2025Article
- Islet autoantibodies as precision diagnostic tools to characterize heterogeneity in type 1 diabetes: a systematic review.Communications medicine · 2024Article
- Screening and Prevention of Type 1 Diabetes: Where Are We?The Journal of clinical endocrinology and metabolism · 2023Review
- The importance of biomarker development for monitoring type 1 diabetes progression rate and therapeutic responsiveness.Frontiers in immunology · 2023Review
- Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening.Diabetologia · 2022Article
- The association of physical activity to oral glucose tolerance test outcomes in multiple autoantibody positive children: The TEDDY Study.Pediatric diabetes · 2022Article
- Japanese Type 1 Diabetes Database Study (TIDE-J): rationale and study design.Diabetology international · 2022Article
- Simplifying prediction of disease progression in pre-symptomatic type 1 diabetes using a single blood sample.Diabetologia · 2021Article
- Prediction and Prevention of Type 1 Diabetes.Frontiers in endocrinology · 2020Review
- Progression from islet autoimmunity to clinical type 1 diabetes is influenced by genetic factors: results from the prospective TEDDY study.Journal of medical genetics · 2019Article
- Continuous Glucose Monitoring Predicts Progression to Diabetes in Autoantibody Positive Children.The Journal of clinical endocrinology and metabolism · 2019Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
While full oral glucose tolerance test (OGTT) helps improve prediction, it requires intravenous access with 6 sample collections for glucose and C-peptide. The objective of this study was to explore less costly and less time-consuming options. All children being prospectively followed by the Diabetes Autoimmunity Study in the Young (DAISY) who had a complete baseline OGTT and at least one confirmed islet autoantibody (Ab+) were included in this study (n = 68). Of 68 Ab+ subjects with a baseline OGTT, 25 developed diabetes after a mean follow-up 5.7 yrs, at a mean age of 12.4 yrs. Univariate proportional hazards (PH) models suggested that age at seroconversion, number of Ab+, IA-2A levels, HbA1c and metabolic variables from the OGTT predicted progression to diabetes, while HLA DR3/4, BMI, levels of IAA or GADA did not. Five multivariate PH predictive models were similar (p = 0.32). All five models included age at seroconversion, number of Ab+, IA-2A levels and HbA1c, and in addition included: model 1 - 1 h glucose and 1 h C-peptide; model 2 - 2 h glucose and 2 h C-peptide; model 3 - glucose sum and C-peptide sum; model 4 - glucose AUC and C-peptide AUC; and model 5: index 60. A model containing age at seroconversion, number of Ab+, IA-2A levels, HbA1c, 1 h glucose and 1 h C-peptide was as predictive for type 1 diabetes progression as models including all sum or AUC values for glucose and C-peptide from full OGTT. The performance of this model should be confirmed in an independent population of Ab+ children.
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Registered trials
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