Evidence map›Paper›PMID 39676798›Full record

ArticleWorld journal of diabetes2024

COVID-19 infection and inactivated vaccination: Impacts on clinical and immunological profiles in Chinese children with type 1 diabetes.

Zhen-Ran Xu, Li Xi, Jing Wu, Jin-Wen Ni, Fei-Hong Luo, Miao-Ying Zhang

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Article in World journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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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

1 citing paper in PubMed.

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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

6 authors.

Zhen-Ran XuDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai 201102, China.
Li XiDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai 201102, China.
Jing WuDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai 201102, China.
Jin-Wen NiDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai 201102, China.
Fei-Hong LuoDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai 201102, China.
Miao-Ying ZhangDepartment of Pediatric Endocrinology and Inherited Metabolic Diseases, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai 201102, China. miaoyingzhang@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has been linked to an increased incidence of diabetes and diabetic ketoacidosis (DKA). However, the relationship between COVID-19 infection and progression to type 1 diabetes (T1D) in children has not been well defined.

aimTo evaluate the influence of COVID-19 infection and inactivated vaccine administration on the progression of T1D among Chinese children.

methodsA total of 197 newly diagnosed patients with T1D were retrospectively enrolled from Children's Hospital of Fudan University between September 2020 and December 2023. The patients were divided into three groups based on their history of COVID-19 infection and vaccination: the infection group, the vaccination-only group, and the non-infection/non-vaccination group. Comprehensive clinical assessments and detailed immunological evaluations were performed to delineate the characteristics and immune responses of these groups.

resultsThe incidence of DKA was significantly higher in the COVID-19 infection group (70.2%) compared to the non-infection/non-vaccination group (62.5%) and vacscination-only group (45.6%;

conclusionCOVID-19 infection predisposes children to severe T1D, characterized by enhanced DKA risk. Inactivated vaccination significantly lowers DKA incidence at T1D onset. These findings are valuable for guiding future vaccination and T1D risk surveillance strategies in epidemic scenarios in the general pediatric population.

Indexed as

COVID-19 infectionDiabetic ketoacidosisImmune profilesType 1 diabetesVaccination

Identifiers

PMID39676798
PMCPMC11580597

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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.