Evidence map›Paper›PMID 41800356›Full record

ArticlePediatric diabetes2026

Epidemiological Trends and Seasonal Patterns in Childhood Type 1 Diabetes: Insights From 2001 to 2024 in Lithuania.

Ingrida Stankute, Dale Marciulionyte, Rytas Ostrauskas, Aiste Cemerkaite, Gryte Leonaviciute, Robertas Kemezys, Sigita Vainiene, Kastytis Smigelskas, Rasa Verkauskiene

Abstract read
In one paragraph

Article in Pediatric diabetes, 2026. 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.

Ingrida StankuteInstitute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, lsmuni.lt.ORCID 0000-0002-0228-7143
Dale MarciulionyteInstitute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, lsmuni.lt.
Rytas OstrauskasInstitute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, lsmuni.lt.
Aiste CemerkaiteInstitute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, lsmuni.lt.
Gryte LeonaviciuteMedical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, lsmuni.lt.
Robertas KemezysInstitute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania, vu.lt.
Sigita VainieneKlaipeda Children's Hospital, Klaipeda, Lithuania, ku.lt.
Kastytis SmigelskasInstitute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, lsmuni.lt.
Rasa VerkauskieneInstitute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania, lsmuni.lt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 1 diabetes (T1D) incidence is rising globally, with significant regional variation. Data from highly homogeneous populations, such as Lithuanian, may contribute to a better understanding of contributing T1D factors. This study examines 24-year trends in childhood T1D incidence and seasonal patterns in Lithuania. Methods: The annual incidence rates (IRs) were computed utilizing established methodologies per 100,000 children <15 years. The study included 2369 (1181 boys) patients with T1D. Results: During 2001-2024, the mean IR was 21.4 per 100,000 < 15 years (95% CI: 20.89, 27.28). The incidence rose from 10.8 to 36.4 per 100,000 children under 15 years of age, with notable peaks observed in 2021 and 2022, temporally aligning with the highest COVID-19 infection waves. Subgroup analysis showed the most rapid increase in young teenagers (10-14 years). Most new cases (63.5%) were diagnosed from September to March. Conclusions: This study demonstrates a rapidly increasing incidence of T1D in Lithuanian children over a 24-year period and is one of the highest in European countries. The seasonal distribution of new cases has been speculated to be due to reduced sunlight exposure and lower vitamin D levels, as well as increased school related stress and viral infections during autumn and winter months. However, additional contributing factors are likely involved, underscoring the need for further research.

Indexed as

Diabetes Mellitus, Type 1SeasonsAdolescentChildChild, PreschoolCOVID-19FemaleHumansIncidenceInfantLithuaniaMalechildrenepidemiologyincidenceseasonal variabilitytrendstype 1 diabetes

Identifiers

PMID41800356
PMCPMC12966609

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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.