Multiligament knee injury and dislocation in a 17-year old football player: clinical focus on rehabilitation exercise and return to sport.
Bibliographic record
Abstract
Objective: To highlight the rehabilitation exercises of a football player following surgical reconstruction of a multi-ligament knee injury (MLKI) with vascular compromise. Case Presentation: A 17-year-old male high school football player sustained a traumatic MLKI requiring immediate limb saving surgery and subsequent tissue repair. Post-operatively, he engaged in an interdisciplinary phased and structured rehabilitation program with an emphasis on progressive loading, neuromuscular control and return-to-sport (RTS) readiness. At eight months post-op the athlete returned to a United States prepatory school where he transitioned to an external strength and conditioning program. Summary: This case report illustrates the complexities and value of an interdisciplinary and individualized rehabilitation program in the early stages of MLKI recovery. Outcomes were positive through eight months, but there were limitations related to the continuity of care that prevented long-term follow up.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| 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".