ACL Reconstruction in Skeletally Immature Athletes: Current Concepts
Bibliographic record
Abstract
ACL injury in skeletally immature patients remains a debatable topic in terms of its management, surgical choices and rehabilitation. The treatment preferences vary across the globe. Children are not little adults in terms of their physiology and anatomy. Hence, contemporary treatment inferred from the adult population does not give the same outcomes in pediatric patients. An in-depth study of specific challenges and difficulties is warranted to optimize the treatment strategies to cater to this group of patients. There is a paucity of literature giving long-term follow-up of ACLR in skeletally immature patients and no standardized guidelines are present for managing this group of patients. The authors have tried to summarize the current concepts for managing ACL injuries in skeletally immature patients through this article. Multiple lacunae and controversies exist in the knowledge regarding the optimum treatment of pediatric patients with ACL injuries who are comparatively more prone to ACL tears than their adult counterparts. Identifying the best mode of management of ACL tears in these skeletally immature patients is necessary. Level of evidence: Level IV.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".