Evidence map›Paper›PMID 42501005›Full record

Trial reportJournal of primary care & community health

The Use of a Handheld Non-Invasive Vagal Nerve Stimulation (nVNS) Device for the Treatment of Long COVID: A Pilot Randomized Controlled Trial.

Ravindra Ganesh, Siddhant Yadav, Darrell R Schroeder, Ivana T Croghan, Jennifer Hanson, Megan Erickson, Shawn Fokken, Sara Seegmiller, Stephanie L Grach, Elizabeth A Gilman and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

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

12 authors.

Ravindra GaneshDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-6877-1712
Siddhant YadavDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Darrell R SchroederDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Ivana T CroghanDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-3464-3525
Jennifer HansonDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Megan EricksonDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Shawn FokkenDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Sara SeegmillerDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Stephanie L GrachDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-8337-6219
Elizabeth A GilmanDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-0166-391X
Ryan T HurtDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Michael R MuellerDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-2415-703X

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
NCATS NIH HHS UL1 TR002377
6 · The paper itself

Abstract

ObjectivesLong-term symptoms following infection with acute respiratory syndrome coronavirus-2 (SARS-CoV-2), termed post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID (LC), persist beyond 90 days and may impact at least 10% of patients with acute infection. The exact cause of LC remains unknown, but several theories include persistent viral particles, immune dysfunction, and autonomic nervous system (ANS) imbalance, particularly involving the vagus nerve. Given the role of the vagus nerve in inflammation regulation, vagal nerve stimulation (VNS) is being explored as a treatment option. The present study aimed to evaluate the feasibility, safety, and exploratory effects of a handheld external transcutaneous cervical non-invasive VNS (tcVNS) on the primary endpoint of Post-COVID Functional Status (PCFS) grade, alongside secondary outcomes such as LC-related fatigue and other symptoms.MethodsParticipants from our Post COVID Care Clinic were randomized into treatment (tcVNS treatments two minutes, three times a day) and control (no VNS) groups for a study period of 12 weeks. Participants completed validated questionnaires, PET-CT scans, and inflammatory cytokines at baseline and 12 weeks.ResultsAll randomized patients (8 tcVNS, 10 control) completed the 12-week study. Participants randomized to tcVNS were observed to have improvements in PHQ-9, PROMIS-F, and COMPASS-31 when compared to controls, but these differences were not statistically significant. Cortisol and DHEA were also observed to increase less in the tcVNS group when compared to the control group, but these changes were also not statistically significant.ConclusionstcVNS was well tolerated and may be a promising therapeutic approach for LC, a chronic disease with no approved treatments and very low rates of complete recovery.

Indexed as

Post-Acute COVID-19 SyndromeVagus Nerve StimulationAdultAgedFemaleHumansMaleMiddle AgedPilot ProjectsTreatment OutcomeCOVIDdisease managementhealth outcomesimpact evaluationprogam evaluation

Identifiers

PMID42501005
PMCPMC13401660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.