Evidence map›Paper›PMID 40566787›Full record

ReviewSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2025

[The research progress on the improvement effect of repeated peripheral magnetic stimulation on upper limb and lower limb spasm after stroke].

Lijuan Xu, Liang Ye, Jie Jia, Shugeng Chen

Abstract readReviewEnglish Abstract
In one paragraph

Review in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2025. 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

4 authors.

Lijuan XuRehabilitation Department, Hangzhou Linping Hospital of Traditional Chinese and Western Medicine, Hangzhou 310000, P. R. China.
Liang YeRehabilitation Department, Hangzhou Linping Hospital of Traditional Chinese and Western Medicine, Hangzhou 310000, P. R. China.
Jie JiaRehabilitation Department, Huashan Hospital, Fudan University, Shanghai 200040, P. R. China.
Shugeng ChenRehabilitation Department, Huashan Hospital, Fudan University, Shanghai 200040, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-stroke spasticity, a common sequelae of upper motor neuron lesions, results in motor control deficits and pathological hypertonia that not only reduce patients' activities of daily living but may also cause impairment of adaptive neuroplasticity. Repetitive peripheral magnetic stimulation (rPMS), as a novel non-invasive neuromodulation technique, demonstrates unique clinical potential through targeted modulation of electromagnetic coupling effects in the peripheral neuromuscular system. Although current international studies have validated the therapeutic potential of rPMS for spasticity, significant heterogeneity persists in elucidating its mechanisms of action, optimizing parameter protocols, and standardizing outcome assessment systems. This review innovatively synthesized recent randomized controlled trials (RCTs) and mechanistic evidence, systematically summarizing rPMS-mediated multidimensional intervention paradigms for upper- and lower-limb spasticity. It rigorously examined the correlations between stimulation frequency parameters (low-frequency

Indexed as

Lower ExtremityMagnetic Field TherapyMuscle SpasticitySpasmStrokeUpper ExtremityHumansRandomized Controlled Trials as TopicStroke RehabilitationRepetitive peripheral magnetic stimulationSpasmStroke

Identifiers

PMID40566787
PMCPMC12236197

What OpenQuestion holds

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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.