A multimodal rehabilitation approach including body weight supported treadmill training, manual therapy, and therapeutic exercise for a patient with hip osteoarthritis
Bibliographic record
Abstract
A patient with bilateral (BL) hip osteoarthritis was seen for physical therapy treatment over 6 weeks for 10 sessions at an outpatient physical therapy clinic.Treatment was provided by a student physical therapist under the supervision of a licensed physical therapist.The patient was evaluated at the initial encounter assessing: pain intensity with the Numeric Pain Rating Scale, hip range of motion (ROM) with a standard goniometer, hip isometric strength testing with a hand held dynamometer, gait endurance with the 6 minute walk test, and physical function with the Western Ontario and McMaster Universities Arthritis Index (WOMAC); and a plan of care was established.Main goals for the patient were to decrease BL hip pain, improve hip strength, increase hip ROM, increase gait endurance, and resume all daily life activities without pain.The main vi interventions used were body-weight supported treadmill training, manual therapy focusing on mobilization techniques, and therapeutic exercises.The patient improved strength in BL hip abduction, improved ROM for left hip internal rotation, and resumed all daily life activities without pain.In addition, the WOMAC score was significantly decreased representing a lower amount of overall disability.The patient was discharged to continue living at home with a progression in home exercise program and recommendations for daily physical activity.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".