Evidence map›Paper›PMID 42158815›Full record

ArticleInternational journal of medical sciences2026

Association Between Post-COVID-19 Herpes Zoster Reactivation and Peripheral Nervous System Disorders: Multinational Real-World Evidence from TriNetX.

Yu-Chen Cheng, Chien-Lin Lu, Joshua Wang, Yi-Chou Hou, Kuo-Cheng Lu

Abstract read
In one paragraph

Article in International journal of medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yu-Chen ChengSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Chien-Lin LuSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Joshua WangDepartment of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.
Yi-Chou HouSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Kuo-Cheng LuDivision of Nephrology, Department of Internal Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City 24352, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increased incidence of herpes zoster (HZ) following coronavirus disease 2019 (COVID-19) suggests a period of immune dysregulation, but the associated long-term neuro-immunological risks remain unclear. Methods: Utilizing de-identified electronic health records from the TriNetX Global Collaborative Network, we established 1:1 propensity score-matched cohorts of COVID-19 survivors, comparing HZ-exposed and unexposed groups over a three-year follow-up. Primary endpoints included the incidence of peripheral nervous system disorders: Bell's palsy, Guillain-Barré syndrome (GBS), and myasthenia gravis (MG). Analyses included Cox proportional hazards models, landmark analyses, and multiple sensitivity analyses. Results: HZ reactivation was associated with increased three-year risks of all outcomes. The risk of Bell's palsy was elevated early and remained sustained (hazard ratio 3.625, 95% confidence interval 3.151-4.170). In contrast, the risks of GBS (hazard ratio 1.858, 95% confidence interval 1.243-2.779) and MG (hazard ratio 1.640, 95% confidence interval 1.178-2.284) showed delayed increases emerging after the first year. These associations remained consistent across sensitivity analyses and were more pronounced in individuals with metabolic comorbidities. COVID-19 vaccination was not associated with an increased risk of these outcomes, although subgroup findings should be interpreted with caution due to limited event counts. Conclusions: Post-COVID-19 HZ is associated with an increased risk of peripheral nervous system disorders, highlighting the need for symptom-based neurological awareness during both early and delayed post-infectious periods.

Indexed as

COVID-19Herpesvirus 3, HumanHerpes ZosterPeripheral Nervous System DiseasesAdultAgedBell PalsyFemaleGuillain-Barre SyndromeHumansIncidenceMaleMiddle AgedMyasthenia GravisPost-Acute COVID-19 SyndromeSARS-CoV-2autoimmune diseasesBell's palsyCOVID-19Guillain-Barré syndromeherpes zostermyasthenia gravisperipheral nervous systemSARS-CoV-2

Identifiers

PMID42158815
PMCPMC13181386

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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.