External coxa saltans (snapping hip) treated with Active Release Techniques: a case report.
Bibliographic record
Abstract
BACKGROUND: The presence of painful coxa saltans (snapping hip) can be a debilitating injury for a competitive athlete, hindering both training, and performance. Considering the various potential etiologies, it often poses a diagnostic and management dilemma for health care practitioners and the success of treatment is often dependent on the practitioner's precise understanding of the cause. Although it is suggested by various authors that conservative therapy should be attempted before considering surgical management, little is known in terms of the most effective modes of manual therapy that should be attempted. CASE PRESENTATION: A case of chronic, external coxa saltans in a 16 year old competitive dancer treated with Active Release Techniques(R) is presented. The clinical presentation, differential diagnosis, management and rehabilitation of the case are discussed. CONCLUSION: Active Release Techniques, or ART, is a soft tissue treatment method that focuses on relieving tissue tension via the removal of fibrosis/adhesion that develops in tissue that is overloaded with repetitive use. In this case of external coxa saltans, the underlying cause of the condition was increased tissue tension leading to increased friction of the proximal Iliotibial band (ITB) complex over the greater trochanter. Utilizing ART resulted in a complete resolution of this athlete's symptoms and may be a good treatment option for external coxa saltans.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".