Evidence map›Paper›PMID 39971754›Full record

ArticleDiabetologia2025

Islet autoantibodies in Thai individuals diagnosed with type 1 diabetes before 30 years of age: a large multicentre nationwide study.

Nattachet Plengvidhya, Sarocha Suthon, Tassanee Nakdontri, Nipaporn Teerawattanapong, Saranya Ingnang, Watip Tangjittipokin, Thai Type 1 Diabetes and Diabetes Diagnosed Before Age 30 Years Registry, Care, and Network (T1DDAR CN)

Erratum issuedAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Nattachet PlengvidhyaDivision of Endocrinology and Metabolism, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID http://orcid.org/0000-0001-5670-4179
Sarocha SuthonSiriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID http://orcid.org/0000-0002-6943-4013
Tassanee NakdontriSiriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Nipaporn TeerawattanapongSiriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Saranya IngnangSiriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Watip TangjittipokinSiriraj Center of Research Excellence for Diabetes and Obesity, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. watip.tan@mahidol.edu.ORCID http://orcid.org/0000-0002-7103-8466
Thai Type 1 Diabetes and Diabetes Diagnosed Before Age 30 Years Registry, Care, and Network (T1DDAR CN)

Funding

Health Systems Research Institute grant number R016541071Health Systems Research Institute R01634500Health Systems Research Institute R016441051Mahidol University grant number R016120003
6 · The paper itself

Abstract

aims/hypothesisType 1 diabetes is categorised into autoantibody positive and autoantibody negative. Most type 1 diabetes research has focused on European populations, leaving a gap in understanding in relation to other ethnic groups, including Thai populations. This lack of data is significant given Thailand's poor prevention and therapeutic management strategies. We aimed to investigate the frequency and distribution of islet autoantibodies among Thai individuals with long-standing type 1 diabetes diagnosed before the age of 30 years.

methodsWe conducted a nationwide population-based study involving 48 hospitals in Thailand from May 2020 to September 2023, enrolling 953 participants. Demographic and clinical characteristics of individuals with autoantibody-positive and -negative type 1 diabetes were analysed. The autoantibodies GAD65, IA-2 and ZnT8 were measured using ELISA. A random C-peptide level was detected by electrochemiluminescence immunoassay.

resultsThai individuals with autoantibody-negative type 1 diabetes comprised 34.2% of the population. Among all individuals, the frequency of GAD65, IA-2 and ZnT8 was 56%, 37% and 33%, respectively. Autoantibody-negative individuals with type 1 diabetes were older at diagnosis, had higher BMI and had higher random C-peptide levels compared with autoantibody-positive individuals with type 1 diabetes. Female individuals had a higher prevalence of type 1 diabetes than male individuals (58% vs 42%; p=1.531 × 10 CONCLUSIONS/

interpretationThe frequency, distribution and characteristics of autoantibody-positive and -negative long-standing type 1 diabetes in Thailand showed uniqueness from other populations. This provides insight into the disease that may have implications for type 1 diabetes prediction, treatment and pathogenesis, especially in the Southeast Asian population.

Indexed as

AutoantibodiesDiabetes Mellitus, Type 1Islets of LangerhansAdolescentAdultChildChild, PreschoolC-PeptideFemaleGlutamate DecarboxylaseHumansMaleReceptor-Like Protein Tyrosine Phosphatases, Class 8Southeast Asian PeopleThailandYoung AdultAutoantibodiesC-PeptideGlutamate Decarboxylaseglutamate decarboxylase 2ICA512 autoantibodyReceptor-Like Protein Tyrosine Phosphatases, Class 8SLC30A8 protein, humanZinc Transporter 8Idiopathic type 1 diabetesIslet autoantibodyLong-standing type 1 diabetesThailandType 1 diabetes

Identifiers

PMID39971754
PMCPMC12021985

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