Evidence map›Paper›PMID 37077605›Full record

ArticleCureus2023

New Onset Multiple Sclerosis Post-COVID-19 Vaccination and Correlation With Possible Predictors in a Case-Control Study.

Majed Alluqmani

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 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
1.9field-weighted citation impact, top 15% 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, 10 citations in OpenAlex.

  1. Article
  2. An overview of HLA variants in COVID-19 vaccine-induced autoimmunity.International journal of molecular epidemiology and genetics · 2025
    Review
  3. Article
  4. Article
  5. Review
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

1 author at 1 institution in 1 country.

Majed AlluqmaniNeurology, Taibah University, Medina, SAU.
Taibah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVarious inflammatory diseases have been associated with the administration of various vaccines. Several reports have associated vaccine administration with the demyelinating diseases of the central nervous system (CNS). However, no clear or strong scientific evidence exists to support the association of vaccine administration with the onset of demyelinating diseases. Some CNS demyelination diseases such as acute disseminated encephalomyelitis (ADEM) and neuromyelitis optica spectrum disorders (NMOSD) were reported following the administration of COVID-19 vaccines. In this study, new onset multiple sclerosis (MS) following COVID-19 vaccine administration was reported.

methodsIn this longitudinal observational case-control study, a total of 65 participants were studied, who were divided into two groups. Group A included 32 MS patients who were diagnosed post-COVID-19 vaccine administration and group B included 33 participants who received COVID-19 vaccines and did not develop MS. Group B was used as a control. The Chi-square test and logistic regression analysis were carried out using Statistical Product and Service Solutions (SPSS) (IBM SPSS Statistics for Windows, Armonk, NY) software.

resultsUnivariate and multivariate logistic regression analysis was performed and a significant correlation between the risk factors and the development of MS post-COVID-19 vaccination was identified.

conclusionThe risk factors, identified in this study, can be used as significant independent predictors for developing MS post-COVID-19 vaccinations.

Indexed as

case control studycovid-19 vaccinesmultiple sclerosisnervous systemneuromyelitis

Identifiers

PMID37077605
PMCPMC10108897
OpenAlexW4327814721

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.