Knee Squeaking in Native Joint after Anterior Cruciate Ligament Reconstruction
Bibliographic record
Abstract
Articular squeaking sounds cause discomfort, frustration, and embarrassment for affected patients, especially in social contexts. Postsurgical native knee squeaking is rare, and only limited data on the subject are available in the literature. This study presents a case of knee squeaking after anterior cruciate ligament (ACL) reconstruction. A 22-year-old woman underwent reconstructive ACL surgery for an isolated tear in her right knee using an outside-in bone-patellar tendon-bone technique. Two months after the surgery, squeaking sound at knee flexion in both weight-bearing and non-weight-bearing conditions appeared without any further symptoms. The audible squeaking sound was a source of frustration and embarrassment for the patient. Given the unsuccessful attempts at diagnostic imaging, a diagnostic arthroscopy was performed during which a multistrand, long-chain, ultra-high molecular weight polyethylene suture was found moving freely in the joint. This suture, originally attached to the patellar bone portion of the graft, was removed during the arthroscopy. After the procedure, the patient reported having no more knee squeaking sound episodes. Friction of a nonabsorbable suture between the cartilage of a femoral condyle and a tibial plateau can produce a characteristic articular high-pitch squeaking sound. This should alert the surgeon to the possible presence of a freely moving fixation material in the knee. Diagnosis is clinical, as diagnostic imaging techniques have poor sensitivity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".