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Record W1983000523 · doi:10.2106/jbjs.d.02784

Supracondylar Femoral Fracture After Arthroscopic Reconstruction of the Anterior Cruciate Ligament: A Case Report

2005· article· en· W1983000523 on OpenAlexaboutno aff
Kai Mithoefer, Mark S. Vrahas

Bibliographic record

VenueJBJS Case Connector · 2005
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnterior cruciate ligament reconstructionAnterior cruciate ligamentSurgeryFracture (geology)OrthodonticsGeology

Abstract

fetched live from OpenAlex

R econstruction of the anterior cruciate ligament is one of the most frequently performed orthopaedic procedures, with more than 100,000 reconstructions performed annually in the United States alone1. Autogenous bone-patellar tendon-bone graft is the graft option that is most frequently utilized by orthopaedic surgeons in the United States, Canada, and Europe2. Complications have been reported to occur in association with 1.8% to 24% of anterior cruciate ligament reconstructions3-5. Serious complications have included arthrofibrosis, patellar fracture, patellar tendon rupture, tibial tubercle fracture, tibial plateau fracture, and osteonecrosis of the femoral condyles3-6. Femoral fracture following anterior cruciate ligament reconstruction is a devastating complication that has been reported only in isolated cases and has been attributed to technical errors or the creation of additional bone holes for supplemental fixation devices used with earlier reconstructive techniques7-12. We present a rare case of a supracondylar femoral fracture that occurred after an arthroscopic anterior cruciate ligament reconstruction that had been performed without supplemental fixation and had not been associated with intraoperative complications. The fracture occurred through an enlarged femoral tunnel following an injury of the involved extremity. Our patient was informed that data concerning this case would be submitted for publication. A thirty-three-year-old man sustained an injury of the left knee after falling off a mountain bike. He reported that he had lost his balance while in a standing position and had fallen onto the right side with hyperextension of the left knee after getting his foot caught in the pedal. He presented to the emergency room with left knee pain and the inability to bear weight on the affected leg. A review of the history revealed that an arthroscopic reconstruction of the left anterior cruciate ligament had been performed …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0050.003
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0030.003
Research integrity0.0110.005
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.008
GPT teacher head0.272
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2005
Admission routes1
Has abstractyes

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