Evidence map›Paper›PMID 39081310›Full record

ArticleFrontiers in immunology2024

Causal effect of COVID-19 on optic nerve and visual pathway disorders: genetic evidence of lung-brain axis.

Chunge Cao, Qiong Li, Dajun Cai, Chaoyan Yue, Hu Zhao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. 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
–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

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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.

  1. 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

5 authors.

Chunge Cao *Department of Obstetrics and Gynecology, Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qiong Li *Department of Obstetrics and Gynecology, First People's Hospital of Chenzhou, Chenzhou, China.
Dajun CaiDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chaoyan YueDepartment of Laboratory Medicine, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Hu ZhaoDepartment of Obstetrics and Gynecology, Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the potential causal association between COVID-19 exposure and optic nerve and visual pathway disorders through a two-sample bidirectional Mendelian randomization (MR) analysis, and to provide empirical support for the lung-brain axis. Methods: This MR analysis utilized publicly accessible summary-level data from genome-wide association studies on COVID-19 (n=158,783) and optic nerve and visual pathway diseases (n=412,181), primarily involving individuals of European descent. The random-effect inverse-variance weighted estimation was applied as the main analytical approach, complemented by MR-Egger, weighted median, and weighted mode methods. The heterogeneity and pleiotropy of the instrumental variables were assessed using Cochran's Q test, leave-one-out sensitivity analysis, MR-Egger intercept test, MR-PRESSO, and funnel plot evaluations. Results: In the forward analysis, the inverse-variance weighted method identified a significant causal effect of COVID-19 on optic nerve and visual pathway disorders (odds ratio = 1.697, 95% confidence interval: 1.086-2.652, Conclusion: Our findings suggest that COVID-19 exposure may increase the risk of developing optic nerve and visual pathway disorders, supporting the lung-brain axis hypothesis. These results underscore the importance of vigilant monitoring of the visual system in patients recovering from COVID-19 and suggest potential avenues for future therapeutic strategies.

Indexed as

COVID-19Genome-Wide Association StudyMendelian Randomization AnalysisSARS-CoV-2BrainGenetic Predisposition to DiseaseHumansLungOptic NerveOptic Nerve DiseasesPolymorphism, Single NucleotideVisual PathwaysCOVID-19lung-brain axisMendelian randomizationoptic nervevisual pathways

Identifiers

PMID39081310
PMCPMC11286426

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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.