ReviewFrontiers in endocrinology2020
Prediction and Prevention of Type 1 Diabetes.
Review in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.
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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.
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.
Who cites it
55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 99 citations in OpenAlex.
- [Diagnostics and treatment of type 1 diabetes mellitus (Update 2026)].Wiener klinische Wochenschrift · 2026Guideline
- Inflammatory Mediators in the Oral Fluids and Blood Samples of Type 1 Diabetic Patients, According to Periodontal Status-A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Use of probiotics and similar in pediatric patients with Type 1 Diabetes Mellitus: a systematic review.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2024Pooled it
- Safety and efficacy of fecal microbiota transplantation for autoimmune diseases and autoinflammatory diseases: A systematic review and meta-analysis.Frontiers in immunology · 2022Pooled it
- Effect of Oral Insulin on Early Combined Glucose and C-Peptide Endpoints in Individuals at High-Risk for Type 1 Diabetes.Pediatric diabetes · 2024Trial
- Adjuvant Probiotics ofFrontiers in endocrinology · 2022Trial
- Reduction in cardiovascular mortality following severe hypoglycemia in individuals with type 2 diabetes: the role of a pragmatic and structured intervention : Structured intervention for community hypoglycemia.Cardiovascular diabetology · 2021Trial
- Advancing Early-Stage Type 1 Diabetes Care: Future Focused Pathways for Identification, Screening, Diagnosis, and Monitoring.Diabetes, obesity & metabolism · 2026Review
- Type 1 Diabetes Mellitus Pathogenesis: Mechanisms, Early Diagnostic Strategies, and Emerging Therapeutic Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026Review
- The Risk of Disease Progression of Type 1 Diabetes in First-Degree Relatives of People With Type 1 Diabetes: Design and Rationale of a Prospective, Longitudinal Study in China.Diabetes, obesity & metabolism · 2026Article
- Genomic ancestry and diversity in individuals with type 1 diabetes from Brazil and Portugal: a descriptive analysis.Diabetology & metabolic syndrome · 2026Article
- HLA Class I Haplotype in Glutamic Acid Decarboxylase Antibody-Associated Neurological Disease.European journal of neurology · 2026Article
- Early Detection of Pediatric Type 1 Diabetes: The Expanding Role of Screening.Children (Basel, Switzerland) · 2026Review
- Spinal fluid antibody profile against bacteria demonstrates intrathecal antibody production in demyelinating diseases.Journal of molecular medicine (Berlin, Germany) · 2026Article
- Oral GAD65-Microorganisms · 2026Article
- Gut Microbiota Modulation by Abelmoschus manihot (L.) Improves Circulating Metabolites and Alleviates Diabetic Nephropathy in db/db Mice.BioMed research international · 2026Article
- The Genetic Background of Ankylosing Spondylitis Reveals a Distinct Overlap with Autoimmune Diseases: A Systematic Review.Journal of clinical medicine · 2025Review
- Altered IgGBiomedicines · 2025Article
- HLA Polymorphisms Linked to the Severity and Extent of Periodontitis in Patients with Type 1 Diabetes from a Brazilian Mixed Population.International journal of environmental research and public health · 2025Article
- LC-MS-based conventional metabolomics combined with machine learning models to identify metabolic markers for the diagnosis of type I diabetes.Frontiers in endocrinology · 2025Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Type 1 Diabetes (T1D) is one of the most common chronic autoimmune diseases in children. The disease is characterized by the destruction of beta cells, leading to hyperglycemia, and to a lifelong insulin-dependent state. Although several studies in the last decades have added relevant insights, the complex pathogenesis of the disease is not yet completely understood. Recent studies have been focused on several factors, including family history and genetic predisposition (HLA and non-HLA genes) as well as environmental and metabolic biomarkers, with the aim of predicting the development and progression of T1D. Once a child becomes symptomatic, beta cell mass has already reached a critical threshold (usually a residual of 20-30% of normal amounts), thus representing only the very late phase of the disease. In particular, this final stage follows two preceding asymptomatic stages, which have been precisely identified. In view of the long natural history and complex pathogenesis of the disease, many strategies may be proposed for primary, secondary, and tertiary prevention. Strategies of primary prevention aim to prevent the onset of autoimmunity against beta cells in asymptomatic individuals at high risk for T1D. In addition, the availability of novel humoral and metabolic biomarkers that are able to characterize subjects at high risk of progression, have stimulated several studies on secondary and tertiary prevention, aimed to preserve residual beta cell destruction and/or to prolong the remission phase after the onset of T1D. This review focuses on the major current knowledge on prediction and prevention of T1D in children.
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Registered trials
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.