Level of Evidence for the Treatment of Chronic Noninsertional Achilles Tendinopathy
Bibliographic record
Abstract
Background Noninsertional Achilles tendinopathy affects both athletes and sedentary individuals, and its incidence is rising. Conservative management is the mainstay of treatment, but a variety of operative techniques have been described to treat recalcitrant cases. We seek to outline the current available evidence for surgical management of noninsertional Achilles tendinopathy. Study design and methods A systematic review was performed using the MEDLINE and EMBASE databases, and all articles were reviewed by at least 2 authors. Each article was assigned a level of evidence in accordance with the standards of Journal of Bone and Joint Surgery. The available data were reviewed and a level of evidence was assigned to each intervention of interest, based on the revised classifications of Wright. Results and conclusion A total of 46 articles met inclusion and exclusion criteria. There is fair evidence (grade B) in support of open debridement with 1 level II study, 1 level III study, and 8 level IV studies. There is fair evidence (grade B) in support of arthroscopic or minimally invasive surgical techniques. There is poor evidence (grade C) in support of flexor hallucis longus transfer, longitudinal tenotomy, peritenolysis, gastrocnemius recession, and plantaris excision. There is insufficient evidence (grade I) to provide a recommendation about other surgical treatment methods for noninsertional Achilles tendinopathy. Levels of Evidence: Level III: Systematic review
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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 | 0.011 | 0.082 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.011 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.010 | 0.005 |
| Insufficient payload (model declined to judge) | 0.056 | 0.009 |
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".