Home-based exercise therapy for treating shoulder instability in patients with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders. A randomized trial
Bibliographic record
Abstract
To investigate the effectiveness of two home-based exercise programs for treating multidirectional shoulder instability (MDI) in patients diagnosed with Hypermobile Ehlers-Danlos syndrome (hEDS) or Hypermobility Spectrum Disorders (HSD). Twenty-one hEDS/HSD patients with MDI were recruited from the Center for Medical Genetics of the Ghent University Hospital. Patients were randomly assigned to either the experimental or the control group. Both groups received a 6-month home-based exercise program. The primary outcome measure was the Western Ontario Shoulder Index (WOSI). Secondary outcomes included the Disabilities of the Arm, Shoulder and Hand (DASH), Tampa Scale for Kinesiophobia (TSK), Patient-Specific Functional Scale (PSFS), Global Rating of Change (GROC), and pain pressure thresholds. Outcomes were assessed at baseline, after 6 weeks, 12 weeks, and 24 weeks. Significant main effects for time were observed for all questionnaires, except for the TSK (p = 0.12). Patients improved 240 and 325 points on the WOSI after 12 (p = 0.02) and 24 weeks (p = 0.001), respectively. Additionally, patients improved 8.6 points on the DASH (p = 0.002), 4.3 points on the PSFS (p = 0.01), and 1.02 points on the GROC (p = 0.001) after 24 weeks. No significant differences were found between group A and B. Both home-based exercise programs led to significant improvements in shoulder function. IMPLICATIONS FOR REHABILITATIONHome-based exercise therapy may be effective for treating MDI in the hEDS/HSD population.Home-based training is beneficial for improving shoulder function, but a multidisciplinary, supervised approach might be more effective for altering kinesiophobia in this patient population. Home-based exercise therapy may be effective for treating MDI in the hEDS/HSD population. Home-based training is beneficial for improving shoulder function, but a multidisciplinary, supervised approach might be more effective for altering kinesiophobia in this patient population.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".