Evidence map›Paper›PMID 35632539›Full record

ArticleVaccines2022

Probable Vogt-Koyanagi-Harada Disease after COVID-19 Vaccination: Case Report and Literature Review.

Xinyi Ding, Qing Chang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Vogt-Koyanagi-Harada Disease and COVID.Journal of clinical medicine · 2023
    Review
  4. Correction.Human vaccines & immunotherapeutics · 2023
    Article
  5. Article
  6. A COVID-19 perspective of Vogt-Koyanagi-Harada disease.Indian journal of ophthalmology · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. 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

2 authors at 1 institution in 1 country.

Xinyi DingDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai 200031, China.ORCID 0000-0001-9539-8178
Qing ChangDepartment of Ophthalmology, Eye and ENT Hospital of Fudan University, Shanghai 200031, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

National Natural Science Foundation of China 82171078
6 · The paper itself

Abstract

COVID-19 vaccination is considered the most effective and promising approach for the elimination of the SARS-CoV-2 pandemic globally. Although the vaccine has been proven to be safe, as evidenced by the promotion of mass vaccination, new side effects, including several ocular complications that were not described during the experimental stage, are now emerging. In the present study, we report a 33-year-old Chinese man who developed probable Vogt-Koyanagi-Harada (VKH) disease only one day after his first dose of an inactivated COVID-19 vaccine, without any systemic symptoms. His medical history was unremarkable, except for hypertension. Although successfully relieved by oral prednisone, the patient progressed to the chronic stage of VKH disease with ocular depigmentation 4 months after onset. By reviewing similar cases previously reported, we discuss and summarize the common characteristics of VKH disease associated with vaccines against SARS-CoV-2, as well as the possible mechanisms behind this phenomenon. Although the causality is unclear, ophthalmologists and generalists should be aware of this possible ocular adverse effect after COVID-19 vaccination.

Indexed as

adverse eventsCOVID-19ocular complicationsvaccinationVogt–Koyanagi–Harada disease

Identifiers

PMID35632539
PMCPMC9146171
OpenAlexW4280560036

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.