Evidence map›Paper›PMID 37781245›Full record

ArticleFrontiers in neuroscience2023

The association between epilepsy and COVID-19: analysis based on Mendelian randomization and FUMA.

Mingyao You, Ping Yuan, Liangqian Li, Baoduo Li, Zijun Peng, Hongbei Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Mingyao You *Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Ping Yuan *Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Liangqian Li *Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Baoduo LiDepartment of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Zijun PengDepartment of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Hongbei XuDepartment of Neurology, The Affiliated Hospital of Guizhou Medical University, Guizhou, China.
Affiliated Hospital of Guizhou Medical University · CNGuiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A multitude of observational studies have underscored a substantial comorbidity between COVID-19 and epilepsy. This study was aimed at establishing a conclusive causal link between these two conditions. Methods: We employed Mendelian randomization (MR) to evaluate the causal link between COVID-19 and epilepsy, as well as its focal and generalized subtypes. The GWAS for epilepsy and its subtypes database were abstracted from both FinnGen consortium and ILAE. Additionally, we leveraged functional mapping and annotation (FUMA) to integrate information from genome-wide association studies (GWAS) results. Results: The MR analyses revealed that genetic liability to COVID-19 infection conferred a causal effect on epilepsy [FinnGen: OR: 1.5306; 95% confidence interval (CI): 1.1676-2.0062, Conclusion: Our study demonstrates that COVID-19 can be a contributing factor to epilepsy, but we found no evidence that epilepsy contributes to COVID-19.

Indexed as

causal relationshipCOVID-19epilepsyFUMAMendelian randomization

Identifiers

PMID37781245
PMCPMC10540302
OpenAlexW4386813413

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.