Effects of Intrinsic Foot Muscles Training in Improving Stability in Multiple Sclerosis Patients

Status unknownNot a drug-phase studyMS (type not specified)NCT06665607

We could not find results for this trial

What it found

No results found

We found no results in the registry or in papers.

What was tested

Treatment tested

  • Intrinsic Mucle Training

What it measured

Main measures

  • Four Square Step Test (FSST): dynamic stability assessment test.

    Initial and after 8 weeks

  • Six Spot Step Test (SSST): test that quantitatively assesses lower limb function

    Initial and after 8 weeks

    Walking and mobility
  • The Frailty and Injuries: Cooperative Studies of Intervention Tecnhiques (FICSIT-4 test): Test of static balance

    0-9 points. Initial and after 8 weeks

    Walking and mobility
  • Activities-specific Balance Confidence scale (AsBC)

    Initial and after 8 weeks

    Walking and mobility

Who could take part

MS (type not specified) · 18 to 70 · EDSS 3.0 to 6.0

Show the full criteria

Inclusion criteria

* Patients with moderate neurological disability as scored by the Expanded Disability Status Scale (EDSS), ranging from 3.0 to 6.0

Exclusion criteria

* Cognitive disturbances that could affect the performance of any of the tests or questionnaires included in the study * Diagnosis of visual or vestibular disorders that could affect patient stability * Change in Multiple Sclerosis-specific medication in the 2 months prior to the start of the study * Acute relapse in the 2 months prior to the start of the study * Traumatologic or orthopaedic disorders that could negatively affect balance.

As registered. Criteria can change, so ask the trial team or your neurologist.

About this trial

In the sponsor's words

The study tries to assess the efficacy of an 8-week IFM training programme on stability in patients diagnosed with Multiple Sclerosis

Loading reviews and guidelines…

History

  1. Status changed from Recruiting to Status unknown
  2. Result signal changed from Ongoing to Status unknown
  1. Started

    Nov 2024

  2. Main results due

    Jun 2025

  3. Finished

    Jul 2025

Assembled by software from public sources.