Integrated Ayurvedic and Physiotherapy approach in the management of acute lateral ankle sprain- A Case Report
Bibliographic record
Abstract
Background: Ankle sprains are the most frequent musculoskeletal injuries, often leading to functional instability and temporary impairment. The "RICE’ protocol is commonly practised for early recovery. The management principles in Ayurveda can be understood under Bhagna Chikitsa, Sadyovrana, and Marma chikitsa. Integration of two systems is the need of the hour for better treatment outcome and quality patient care. Clinical findings: A 26-year-old young male student, presented with swelling and pain at the right ankle joint since the last 24 hours, which was associated with difficulty and increased pain while walking. The case was diagnosed as a right-sided lateral ankle sprain by performing a talar tilt test and an anterior drawer test, which showed positive signs. Ottawa ankle rules were performed to differentiate it from fractures by advising an X-ray of the foot with anteroposterior, lateral, and oblique views, which was normal in this case. Outcome: The adopted integrated treatment, which includes local Ayurvedic procedures, standard RICE protocols, and physiotherapy procedures, gave good results in the form of pain reduction, swelling, local temperature, increased range of motion, and an early return to sports. Conclusion: Integrated treatment approach for a period of 2 months has given good outcome with no adverse events. The patient has returned to play and performing well, further research in this area is necessary to validate the results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".