Evidence map›Paper›PMID 37337812›Full record

ReviewJournal of Korean medical science2023

New-Onset Fulminant Type 1 Diabetes Following SARS-CoV-2 Protein Subunit Vaccine: A Case Report and Literature Review.

Lanhui Huang, Min Liang, Yuling He

Open access · goldAbstract readReviewCase Reports
In one paragraph

Review in Journal of Korean medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Lanhui HuangDepartment of Geriatric Endocrinology and Metabolism, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0002-1030-9760
Min LiangDepartment of Geriatric Endocrinology and Metabolism, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. liangm@gxmu.edu.cn.ORCID https://orcid.org/0000-0002-8354-1093
Yuling HeDepartment of Geriatric Endocrinology and Metabolism, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. heyulingy@163.com.ORCID https://orcid.org/0009-0000-7617-2712
Guangxi Medical University · CN

Funding

National Natural Science Foundation of China 81860163
6 · The paper itself

Abstract

The ravages of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) worldwide have sped up the development of relevant vaccines, which is accompanied by public concerns over possible adverse effects. We report a rare case of a 39-year-old woman who suffered from severe hyperglycemia and ketoacidosis with normal hemoglobin A1c four days after SARS-CoV-2 protein subunit vaccine, which is consistent with the diagnosis of fulminant type 1 diabetes (FT1D). She received insulin therapy and recovered after 24 days from onset of the symptoms. This is the first case of new-onset FT1D after SARS-CoV-2 protein subunit vaccination and one of only six that developed after any form of SARS-CoV-2 vaccination. We hope to raise awareness of this potential adverse consequence and recommend careful monitoring after vaccination in patients even without a medical history of diabetes.

Indexed as

COVID-19COVID-19 VaccinesDiabetes Mellitus, Type 1Endocrine System DiseasesAdultFemaleHumansProtein SubunitsSARS-CoV-2VaccinationCOVID-19 VaccinesProtein SubunitsAdverse EffectsFulminant Type 1 DiabetesProtein Subunit VaccineSARS-CoV-2 Vaccine

Identifiers

PMID37337812
PMCPMC10279518
OpenAlexW4379471208

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.