What does a structured review of the effectiveness of exercise interventions for persons with multiple sclerosis tell us about the challenges of designing trials?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The goal of this review is to ascertain the extent to which the current body of research on the role of exercise in multiple sclerosis (MS) provides sufficiently strong evidence to guide regular exercise prescription. METHODS: We searched CINAHL, COCHRANE, EMBASE, and MEDLINE between 1950 and December 2007 with combinations of MeSH terms and keywords. We assessed the methodological quality of selected randomized controlled trials (RCTs) of exercise interventions using the Physiotherapy Evidence Database scale and evaluated the effects of the exercise interventions by calculating effect sizes (ES) for the target outcomes. RESULTS: Eleven RCTs met the criteria, all with acceptable methodological quality. The ES ranged from -0.36 to 3.50 on the target outcomes. Only one study had 95% confidence intervals clearly excluding a value of 0. Measures of body functions and structures and activities were the most common target outcomes of interventions. CONCLUSION: Although there was some evidence to support positive effects of exercise on physical and psychosocial functioning and on quality of life, our review revealed insufficient research in this area, making it difficult to guide regular exercise prescription. Furthermore, it also emphasizes the methodological challenges in these RCTs leading us to believe that there is a great need for high quality RCTs in this area, contributing evidence for regular exercise and physical activity prescription for persons with MS.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it