Surgical repair of complete proximal hamstring tendon ruptures in water skiers and bull riders: a report of four cases and review of the literature
Bibliographic record
Abstract
OBJECTIVE: Hamstring strains are one of the most common muscle strains in athletes; however, complete rupture of the proximal hamstring origin is rare and results from significant trauma. The objective of this paper is to present our experience of management of complete ruptures where surgical repair resulted in good results in both acute and delayed cases. METHODS: Two water skiers and two bull riders sustained complete rupture of the proximal origin of the hamstring muscles. All underwent repair of the hamstring origin and sciatic nerve neurolysis. A post operative hamstring rehabilitation programme was instituted. Regular follow up was performed at 2, 3, 6, 9, and 12 months. RESULTS: At a minimum final follow up of 12 months all patients had regained functional knee flexion strength with no pain and a near normal range of knee flexion. All four individuals were able to return to their previous line of work and three were able to return to their pre-injury level of sport. CONCLUSION: Complete rupture of the hamstring origin is a potentially devastating sports injury that has implications affecting the individual's activities of daily living as well as potential as a sportsperson. Surgical repair restores the distorted anatomy, allows early functional rehabilitation, and avoids the potential debilitating neurological problem of gluteal sciatica.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".