Therapeutic Potential of Repetitive Transcranial Magnetic Stimulation (TMS) in Long COVID: A Systematic Review and Meta-Analysis Protocol

The cumulative global incidence of long COVID is around 400 million individuals, yet effective treatment options remain limited. A recent systematic review published in 2025 highlighted promising results for non-invasive brain stimulation in alleviating long COVID symptoms. Given the growing use of repetitive transcranial magnetic stimulation (rTMS) for people with long COVID, a focused meta-analysis on the therapeutic effectiveness of rTMS is warranted. To address this gap, this protocol outlines the planned procedures for a systematic review and meta-analysis. A comprehensive search will be conducted across CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus. Retrieved studies will be managed using Rayyan, with two independent reviewers screening titles and abstracts, followed by full-text review. Data extraction will follow PRISMA and Cochrane guidelines using a standardised form, with dual independent extraction and reconciliation of discrepancies. Risk of bias will be assessed using Cochrane RoB 2.0. Meta-analytical procedures will include calculation of standardised effect sizes (e.g., Hedges’ g), use of random-effects models, and assessment of heterogeneity via I2, Cochran’s Q, and tau2. Subgroup and moderator analyses will explore variations in rTMS protocols, participant characteristics, and symptom domains. Sensitivity analyses and meta-regression will be conducted where data permit. Results will be visualised using forest and funnel plots, and the GRADE framework will be used to assess the quality of evidence.

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Publication Details

Journal
COVID
Published
2025-11-27
DOI
https://doi.org/10.3390/covid5120196
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.00
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article

Therapeutic Potential of Repetitive Transcranial Magnetic Stimulation (TMS) in Long COVID: A Systematic Review and Meta-Analysis Protocol

Emma Swift, Nilihan E. M. Sanal‐Hayes, Ethan C J Berry, Marie Mclaughlin et al.
COVID
Long-Term Effects of COVID-19
article

Therapeutic Potential of Repetitive Transcranial Magnetic Stimulation (TMS) in Long COVID: A Systematic Review and Meta-Analysis Protocol

Emma Swift, Nilihan E. M. Sanal‐Hayes, Ethan C J Berry, Marie Mclaughlin, Lawrence D. Hayes, Kate Slade
article en

Abstract

The cumulative global incidence of long COVID is around 400 million individuals, yet effective treatment options remain limited. A recent systematic review published in 2025 highlighted promising results for non-invasive brain stimulation in alleviating long COVID symptoms. Given the growing use of repetitive transcranial magnetic stimulation (rTMS) for people with long COVID, a focused meta-analysis on the therapeutic effectiveness of rTMS is warranted. To address this gap, this protocol outlines the planned procedures for a systematic review and meta-analysis. A comprehensive search will be conducted across CINAHL Ultimate, MEDLINE, ScienceDirect, and Scopus. Retrieved studies will be managed using Rayyan, with two independent reviewers screening titles and abstracts, followed by full-text review. Data extraction will follow PRISMA and Cochrane guidelines using a standardised form, with dual independent extraction and reconciliation of discrepancies. Risk of bias will be assessed using Cochrane RoB 2.0. Meta-analytical procedures will include calculation of standardised effect sizes (e.g., Hedges’ g), use of random-effects models, and assessment of heterogeneity via I2, Cochran’s Q, and tau2. Subgroup and moderator analyses will explore variations in rTMS protocols, participant characteristics, and symptom domains. Sensitivity analyses and meta-regression will be conducted where data permit. Results will be visualised using forest and funnel plots, and the GRADE framework will be used to assess the quality of evidence.

COVIDVol. 5(12)
University of Salford (GB), Lancaster University (GB), University of the West of Scotland (GB), University of Edinburgh (GB)
Openalex Percentile: Top 49%
Long-Term Effects of COVID-19
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