Evidence map›Paper›PMID 41693192›Full record

ArticlePediatric endocrinology, diabetes, and metabolism2025

Environmental triggers of pediatric type 1 diabetes: A protocol for a systematic review and meta-analysis on the impact of COVID-19 infection and vaccination.

Olga Kamińska-Jackowiak, Martyna Kolasa, Agata Chobot, Tiago Dos Santos

Abstract read
In one paragraph

Article in Pediatric endocrinology, diabetes, and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Olga Kamińska-JackowiakDepartment of Pediatrics, Institute of Medical Sciences, University of Opole, Poland.
Martyna KolasaDepartment of Pediatrics, Institute of Medical Sciences, University of Opole, Poland.
Agata ChobotDepartment of Pediatrics, Institute of Medical Sciences, University of Opole, Poland. agata.chobot@gmail.com.
Tiago Dos SantosDepartment of Nursing Sciences, Physiotherapy, and Medicine, Faculty of Health Sciences, University of Almería, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe study aimed to systematically evaluate whether coronavirus disease (COVID-19) infection and/or vaccination act as environmental triggers for new-onset type 1 diabetes (T1D) in children and adolescents. MATERIAL AND

methodsWe will conduct a systematic review and meta-analysis in accordance with PRISMA 2020 guidelines. PubMed, Embase, Scopus, Web of Science, and Cochrane Library will be searched for studies from 2020 onward. Eligible studies must report new-onset T1D in individuals aged 0-19 years following confirmed SARS-CoV-2 infection or COVID-19 vaccination, with a clearly defined comparator group. Data will be extracted using the Population-Exposure-Comparator-Outcome (PECO) framework, aiming to capture diabetes incidence, diabetic ketoacidosis (DKA) severity, immunologic and genetic markers, direction of effect, and potential confounders. Risk of bias will be assessed with the Newcastle-Ottawa Scale, and GRADE will be used to assess certainty of evidence. A random-effects meta-analysis will be conducted if appropriate. EXPECTED

resultsWe anticipate mapping the direction of effect (-, ¯, mixed, or = no difference) for each exposure-outcome pair, and identifying gaps related to immunologic markers, diagnostic timing, and confounding factors.

conclusionsThis review will provide a comprehensive synthesis of evidence on infection- and vaccine-triggered pediatric T1D, informing future prospective studies and surveillance efforts.

Indexed as

COVID-19COVID-19 VaccinesDiabetes Mellitus, Type 1AdolescentChildChild, PreschoolDiabetic KetoacidosisHumansMeta-Analysis as TopicSARS-CoV-2Systematic Reviews as TopicVaccinationCOVID-19 VaccinesCOVID-19 infectionCOVID-19 vaccinationdiabetic ketoacidosissystematic reviewtype 1 diabetes

Identifiers

PMID41693192
PMCPMC12928144

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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.