Ultrasound v. sham ultrasound for experimentally induced delayed-onset muscle soreness: A double-blind, randomised controlled trial
Bibliographic record
Abstract
Background. Therapeutic ultrasound (US) is an electrophysical therapy that is commonly used by sports physiotherapists, but its mechanismof action is unclear. There is little evidence that US therapy is more effective than sham US therapy, and any clinical benefits may be dueto a placebo effect.Objective. To investigate whether US has a specific effect that renders it effective in its own right, or whether its effect is placebo driven.Methods. In a double-blind controlled trial, delayed-onset muscle soreness (DOMS) was experimentally induced in both bicep musclesof 15 females. Sham US was applied to one bicep (n=15 biceps) and pulsed active US to the other bicep (n=15 biceps) of each participant,48 and 72 h after induction of DOMS. Primary and secondary outcomes were pain reported on the McGill Pain Questionnaire (MPQ) andrange of movement (ROM) (elbow extension) measured by goniometry, respectively.Results. Results showed significant improvements in pain and ROM over the intervention periods, but there was no difference betweeninterventions.Conclusion. US and sham US therapy improve pain equally when treating DOMS of the biceps in the context of a therapeutic encounter.This analgesic effect is placebo driven. Clinicians can influence the analgesic effect of US by managing the therapeutic context. Managementof patients’ anxiety may also boost the analgesic effect of US.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".