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Record W4408519484 · doi:10.1016/j.jorep.2025.100652

Evaluating the impact of repetitive peripheral magnetic stimulation (rPMS) on physical therapy outcomes for musculoskeletal and neurological disorders

2025· article· en· W4408519484 on OpenAlexaboutno aff
P Madhuripu, Premkumar Mariarathinam, Riyas Basheer K. B., Ajay Kumar, Royline Fathima Pinto, Reshma Kolar

Bibliographic record

VenueJournal of Orthopaedic Reports · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeripheralPhysical medicine and rehabilitationMedicinePhysical therapyStimulationInternal medicine

Abstract

fetched live from OpenAlex

Repetitive Peripheral Magnetic Stimulation (rPMS) is an innovative neuromodulation technique that has gained attention for its potential therapeutic effects in both musculoskeletal and neurological disorders. By delivering pulsed magnetic fields to peripheral nerves, rPMS modulates neural activity, alleviates pain, and enhances motor function, offering a non-invasive alternative to conventional treatments. This systematic review synthesizes the current evidence on the application of rPMS across a range of musculoskeletal conditions (eg., low back pain, myofascial syndrome, etc.) and neurological disorders (e.g., stroke, neuropathies, etc.). To review the current evidence on repetitive peripheral magnetic stimulation (rPMS), focusing on its therapeutic applications, mechanisms of action, clinical efficacy, and future directions in neuromodulation. A comprehensive search was conducted across PubMed, Google Scholar, Cochrane Library, Scopus, and Embase from January 2000 to October 2023 using keywords related to Repetitive Peripheral Magnetic Stimulation (rPMS) and its applications in musculoskeletal and neurological disorders. Studies included were RCTs, CCTs, or observational studies reporting on rPMS treatment protocols and outcomes such as pain reduction, motor function, and functional improvement. Data extraction was performed by four independent reviewers, focusing on study characteristics, intervention details, and outcomes. Study quality was assessed using the Cochrane Risk of Bias Tool and Newcastle-Ottawa Scale, with evidence strength evaluated using the GRADE system. Repetitive Peripheral Magnetic Stimulation (rPMS) has demonstrated therapeutic benefits in both musculoskeletal and neurological conditions. In musculoskeletal disorders, rPMS significantly reduced pain, improved functional outcomes, and enhanced joint mobility in conditions. It also improved muscle strength and range of motion in Rotator Cuff Injury and Carpal Tunnel Syndrome patients, while enhancing proprioception and postural control in patients with musculoskeletal imbalances. In neurological disorders, rPMS improved motor function and promoted neuroplasticity in neurological patients. It also reduced tremor amplitude, alleviated pain, improved muscle strength, reduced spasticity in neurological conditions. These findings support rPMS as a promising neuromodulation therapy across a range of conditions. rPMS shows promising potential as a non-invasive therapeutic tool for managing a wide range of musculoskeletal and neurological disorders. However, further research is needed to refine treatment protocols, explore its mechanisms, and assess long-term efficacy for broader clinical application.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.068
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.068
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.015
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.403
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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