Evidence map›Paper›PMID 39747377›Full record

ArticleScientific reports2025

Impact of the severe acute respiratory syndrome coronavirus 2 pandemic on the incidence of type 1 diabetes mellitus in children in Yamanashi, Japan.

Tomohiro Saito, Mie Mochizuki, Kisho Kobayashi, Hiromune Narusawa, Daisuke Watanabe, Koichi Makino, Hideaki Yagasaki, Kazumasa Sato, Tomoaki Sano, Masanori Ohta and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

13 authors.

Tomohiro SaitoDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan. tosaito@yamanashi.ac.jp.
Mie MochizukiDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Kisho KobayashiDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Hiromune NarusawaDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Daisuke WatanabeDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Koichi MakinoDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Hideaki YagasakiDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Kazumasa SatoDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Tomoaki SanoDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Masanori OhtaDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Hiroshi YokomichiDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.
Shin AmemiyaDepartment of Pediatrics, Faculty of Medicine, Saitama Medical University, Saitama, Japan.
Koji KobayashiDepartment of Pediatrics, Faculty of Medicine Graduate School of Medicine, University of Yamanashi, Shimokato, Chuo, Yamanashi, 1110, 409- 3898, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been hypothesized that the biopsychosocial stress associated with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, in combination with the immunological effects of SARS-CoV-2 and pancreatic β-cell dysfunction, may contribute to the onset of type 1 diabetes (T1D) in children. In this study, we documented the incidences of T1D in Yamanashi Prefecture, Japan, from 1986 to 2018, and expanded the analysis to include cases from 2019 to 2022 to evaluate the potential influence of coronavirus disease 2019 (COVID-19) on T1D incidence. The COVID-19 pandemic period was defined as 2020 to 2022. Data spanning from 1986 to 2022 were analyzed in annual increments, while data from 1987 to 2022 were analyzed in 3-year interval increments using Joinpoint regression analysis. Across all analyses, no joinpoints were identified, and a consistent linear increase was observed. These findings suggest that there was no statistically significant change in the incidence of T1D attributable to the COVID-19 pandemic in Yamanashi Prefecture. The annual increase in the incidence was calculated to be 3.384% per year, while the increase in the 3-year interval incidence was calculated to be 2.395% per year. Although the incidence of pediatric T1D among children aged 0-14 years in Yamanashi Prefecture increased during the COVID-19 pandemic (2020-2022), this trend appeared to be a continuation of the pre-2019 increase. The direct or indirect impact of COVID-19 on this trend could not be conclusively determined due to the limited number of cases included in this study.

Indexed as

COVID-19Diabetes Mellitus, Type 1AdolescentChildChild, PreschoolFemaleHumansIncidenceInfantJapanMalePandemicsSARS-CoV-2CoronavirusCOVID-19IncidencePandemicSARS-CoV-2Type 1 diabetes

Identifiers

PMID39747377
PMCPMC11697265

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.