Exercise as a Therapeutic Intervention in Multiple Sclerosis
Bibliographic record
Abstract
The role of exercise as a therapeutic intervention in multiple sclerosis (MS) has shifted over time. Early views surrounding exercise in MS advocated for caution against participation. With increasing evidence, perspectives shifted to promote exercise as a therapeutic approach for symptom management. Recent efforts have focused on understanding the potential disease-modifying effects of exercise in MS, although this work is still in its infancy. While efforts continue to optimize exercise prescriptions and unravel underlying mechanisms of exercise effects, current knowledge and implementation gaps limit the accessibility of exercise as therapy for all people living with MS. This topical review is based on an invited presentation on ‘ Exercise as a Therapeutic Intervention in MS’ delivered at the ACTRIMS Forum 2024. The review summarizes current evidence for the role of exercise as a therapeutic intervention in MS from symptomatic to disease-modifying potential. We highlight directions for future research efforts to advance our understanding of potential exercise benefits and translate findings into real-world contexts for people living with MS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".