Effects of repetitive transcranial magnetic stimulation on upper limb motor recovery after stroke: an overview of systematic reviews - Scorecard - MDSpire

Effects of repetitive transcranial magnetic stimulation on upper limb motor recovery after stroke: an overview of systematic reviews

  • By

  • Linli Zhang

  • Chengshuo Wang

  • Zujian Zhang

  • Hongwei Sun

  • June 10, 2026

  • 0 min

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Clinical Scorecard: Impact of repetitive transcranial magnetic stimulation on recovery of upper limb motor function following stroke: a comprehensive review of systematic analyses

At a Glance

CategoryDetail
Condition
Key MechanismsRepetitive transcranial magnetic stimulation (rTMS) modulates cortical excitability, potentially enhancing motor recovery through targeted stimulation protocols.
Target Population
Care Setting

Key Highlights

  • 17 meta-analyses/systematic reviews evaluated.
  • High certainty of evidence for 13 outcome indicators, indicating strong support for rTMS in clinical settings.
  • Moderate certainty for 47, low for 91, and very low for 71 indicators, highlighting the need for cautious interpretation.
  • Methodological rigor and reporting quality were suboptimal, suggesting improvements are necessary.
  • Need for rigorous standards and MRI-derived biomarkers in future research to enhance evidence quality.

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

      • Evaluate the effectiveness of rTMS on upper limb function using standardized assessment tools and adjust treatment as necessary.

      Risks

        Patient & Prescribing Data

        rTMS may improve muscle strength and fine motor coordination, but evidence quality is variable, necessitating careful consideration in treatment planning.

        Clinical Best Practices

        • Adopt rigorous methodological standards in systematic reviews, such as AMSTAR-2 criteria.
        • Utilize transparent reporting practices in clinical research, including adherence to PRISMA guidelines.
        • Integrate MRI-derived biomarkers to enhance evidence quality and tailor interventions.

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