Achilles hero or heel? A systematic review of popliteal nerve block for achilles repair
Bibliographic record
Abstract
Achilles tendon rupture is an exceptionally common injury, particularly among athletes. Popliteal nerve block is often performed for pain relief during surgical Achilles repair; however, the evidence basis demonstrating its analgesic effectiveness is uncertain. Popliteal nerve block faces an especially high burden of proof in this setting, because percutaneous Achilles repair and popliteal nerve block are each independently associated with a relatively high risk of iatrogenic nerve injury, which is potentially catastrophic for athletes competing at any level. Therefore, we undertook a systematic review of the literature to understand the evidence basis for popliteal nerve block compared to systemic multimodal analgesia for Achilles repair surgery. We followed a predefined protocol (CRD42024577995) and adhered to PRISMA reporting guidelines. However, our systematic review of the published literature identified zero randomized trials comparing popliteal nerve block to systemic analgesia for Achilles repair surgery, and only one small retrospective cohort study which failed to demonstrate a significant difference in patient outcomes after popliteal nerve block versus systemic analgesia alone. There is presently no high-quality evidence to support or refute the routine administration of a popliteal nerve block relative to systemic analgesia for Achilles repair surgery. Providers, patients, and payers alike must recognize this major gap in the literature. Future randomized controlled trials are required to validate the analgesic effectiveness and safety profile of popliteal nerve block compared to systemic analgesia for surgical Achilles repair.
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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 | 0.013 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.008 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".