Pilot Trial Data on Multimodal Exercise for Frailty in Multiple Sclerosis

Tobia Zanotto's dataset contains results from a 6-week pilot randomized controlled trial investigating a multimodal exercise training program for frail people with multiple sclerosis. The data includes feasibility metrics and exploratory health outcomes for 16 participants, collected between baseline and 6 weeks. The dataset was last updated on 2026-04-15.

Use Cases

• Analyze feasibility outcomes like recruitment and adherence rates for pilot clinical trials.
• Model changes in frailty scores (EFIP) following a structured exercise intervention.
• Assess the impact of exercise on quality of life (MSQoL-54) and fatigue (MFIS) in a clinical population.
• Evaluate safety and user engagement data from a virtual reality and resistance training program.

Strengths

• Dataset includes specific feasibility metrics: 0.33 participants/week recruitment rate and 97.2% training adherence.
• Contains complete outcome data for exploratory measures like EFIP, MSQoL-54, MFIS, and PPA with 95% confidence intervals.
• Data collection was successfully implemented with no recorded adverse events, as stated in the description.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Small pilot study with 16 total participants, limiting statistical power and generalizability.

Provenance

Source

Tobia Zanotto via figshare.

Collection Method

Data collected from a pilot randomized controlled trial (ClinicalTrials.gov NCT06042244).

Time Range

Data covers a 6-week intervention period.

Freshness

Last updated 2026-04-15 17:33:24; freshness should be verified.