Management of Acute Ankle Sprains: Common Questions and Answers.
Bibliographic record
Abstract
Acute ankle sprains are a common musculoskeletal injury. As part of the physical examination, a combination of ankle-specific tests should be used to evaluate ligaments. Delaying the examination until 4 to 7 days postinjury increases diagnostic accuracy of sprain severity. In the acute setting, the Ottawa Foot and Ankle rules can help determine when radiography does not need to be ordered to evaluate for fracture. Management of acute ankle sprains should include joint protection, pain control, external ankle supports for 5 to 10 days, early functional activity, and targeted rehabilitation exercises. Oral medications such as acetaminophen, nonsteroidal anti-inflammatory drugs, and opioids are equally effective in managing pain. Recovery includes the use of external ankle supports (eg, semirigid braces) and a targeted neuromuscular rehabilitation program for 8 to 12 weeks. Continuing functional exercises and the use of external ankle support during sport after recovery can aid in the prevention of recurrent ankle sprains. If an ankle sprain does not follow the expected course of recovery, further evaluation with magnetic resonance imaging should be performed to evaluate for other causes of acute lateral ankle injuries, such as talar fractures and peroneal tendon injuries.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".