Several nondrug approaches improved fatigue scores in multiple sclerosis trials
A network meta-analysis found lower fatigue scores with several approaches compared with controls. Combined programs looked promising, but their superiority over other active approaches remains uncertain.
Based on the published abstract. The full paper may contain additional methods, results and limitations.
The 30-second takeaway
Combined programs, exercise, cognitive behavioral therapy, acupuncture or massage, and digital health interventions improved fatigue scores compared with controls in people with multiple sclerosis. The authors suggested combined programs might be most effective. However, the abstract does not establish a definitive ranking or describe which combinations of approaches were tested.
This abstract-based summary lacks details on program content, control conditions, assessment periods and evidence certainty. These gaps limit interpretation of the apparent treatment ranking.
What researchers found
Fatigue scores with combined interventions
Combined interventions versus controls: -0.79 standard deviations, with uncertainty from -1.27 to -0.31 on that same scale. Negative values mean lower fatigue scores; units reflect score variability. Assessment timing was unreported; clinical importance is unclear.
What the review compared
The review brought together randomized trials of nondrug approaches to fatigue in multiple sclerosis. It addressed both whether approaches helped compared with controls and how their effects compared across the treatment network.
What the scale tells us
A standard deviation describes how widely fatigue scores vary. Expressing results in these units allows scores to be combined, but does not show an absolute score change, percentage improvement or a clinically established benefit.
The original publication
Comparative efficacy of non-pharmacological interventions on fatigue in people with multiple sclerosis: A systematic review and network meta-analysis.
Chang H, Wang X, Shi Y
Int J Nurs Stud · 2026
- PubMed ID
- 41167042
- Record checked
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