Physiotherapy Program for Managing Adhesive Capsulitis in Patients with Diabetes: A Protocol for a Pilot Randomized Trial
Bibliographic record
Abstract
Background: Adhesive capsulitis (AC) occurs five times more often in people with diabetes and leads to prolonged disability. Exercises and joint mobilization are usually used to manage AC. However, the recovery is slow and often incomplete. Aerobic exercises improve hyperglycemia and insulin sensitivity. Currently, no research has formally assessed the benefits of incorporating an aerobic training program into the treatment plan of AC in patients with diabetes. This single blind pilot randomized trial will compare the preliminary effect of a regular physiotherapy program (PT), to a regular PT program combined with a progressive walking program (PT+) in patients with and without diabetes who have AC. Methods: Patients (n= 40) will be recruited from St. Joseph's HealthCare Centre and associated primary care practices. Patients will be randomly assigned into either the regular PT program or regular PT combined with a progressive walking program. Patients will be referred to physical therapy facilities and the intervention will be chosen by the treating physical therapist. In the PT+ group, patients will be asked to perform free walking at their own pace for 30-45 minutes, five days per week, for six consecutive weeks. The primary outcome will be testing the functional performance of the shoulder using the Functional Impairment Test- Hand and Neck/ Shoulder/Arm (FIT-HaNSA) test. Secondary outcomes will include shoulder pain and function using the Shoulder Pain and Disability Index (SPADI) questionnaire; shoulder range of motion in flexion, abduction, and external rotation; muscles strength of shoulder flexors and abductors; and physical activity level using an accelerometer and the Rapid Assessment of Physical Activity (RAPA) questionnaire. The primary outcome will be evaluated at baseline and after six weeks. Secondary outcomes will be evaluated at baseline, and after three, six and 12 weeks from enrolment. Discussion: The novel approach taken in this pilot trial will establish the preliminary effect of a regular PT program combined with a progressive walking program and will evaluate a study design prior to the performance of a full-scale research project that may lead to better outcomes for managing adhesive capsulitis in people with diabetes.
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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 | 0.018 | 0.017 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.005 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.057 | 0.008 |
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".