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Record W4392384972 · doi:10.1177/26350254231204641

Concomitant Anatomic PCL and FCL Reconstructions With Partial Lateral Meniscectomy

2024· article· en· W4392384972 on OpenAlexaboutno aff
Mark T. Banovetz, Jacob A. Braaten, Morgan D. Homan, Nicholas I. Kennedy, Robert F. LaPrade

Bibliographic record

VenueVideo Journal of Sports Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsConcomitantMaterials scienceMedicineSurgery

Abstract

fetched live from OpenAlex

Background: Fibular collateral ligament (FCL) injuries commonly present in a multiligament knee injury pattern. These injuries are associated with significant instability leading to altered tibiofemoral biomechanics and therefore require surgical intervention. Similarly, grade 3 posterior cruciate ligament (PCL) injuries may disrupt normal tibiofemoral and patellofemoral biomechanics and increase the risk of secondary osteoarthritis. Therefore, concomitant reconstruction of the FCL and PCL should be performed to decrease knee laxity and optimize functional outcomes. Indications: Early operative treatment is indicated for patients with combined grade 3 FCL injuries and complete PCL tears. Contraindications to this procedure include patients who have significant osteoarthritis, open knee dislocations, or medical comorbidities making them unfit for surgery. Technique Description: The fundamental idea behind this technique is a stepwise treatment starting with open aspects of the procedure and followed by arthroscopic work.The technique is initiated with a lateral approach, common peroneal neurolysis, fibular and femoral FCL reconstruction tunnel preparation, and a gracilis or semitendinosus tendon autograft harvest. After that, focus shifts to intra-articular work such as associated meniscal assessment and treatment, PCL femoral and tibial tunnel preparation, graft passage, and PCL femoral tunnel fixation. Final graft fixation order is as follows: anterolateral bundle of PCL, posteromedial bundle of PCL, and finally FCL. Results: Multiple studies have reported that an anatomic FCL reconstruction in the setting of multiligament injury results in improved patient outcomes. In a prospective study of 20 patients, LaPrade et al reported -0.4 mm difference in side-to-side lateral compartment gapping and significant postoperative improvement of symptom and functional scores at a minimum 2 year postoperative follow-up after anatomic reconstruction of the FCL. Similarly, Moulton et al reported significant improvement in the average Western Ontario and Lysholm scores at 2.7 years follow-up. LaPrade et al also reported significant improvement in function and objective outcome scores at 3 years' follow-up from anatomic double-bundle PCL reconstruction. Discussion: Anatomic FCL and PCL reconstructions successfully restore near native knee objective stability and provide superior clinical outcomes when compared to nonanatomic-based FCL reconstructions that continue to be performed. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.008
GPT teacher head0.268
Teacher spread0.260 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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