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Record W2916194007 · doi:10.21037/aoj.2019.02.01

Consideration of lateral augmentation in anatomic anterior cruciate ligament reconstruction

2019· article· en· W2916194007 on OpenAlex
Scott Tulloch, Alan Getgood

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Joint · 2019
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsFowler Kennedy Sport Medicine ClinicWestern University
Fundersnot available
KeywordsAnterolateral ligamentBiomechanicsAnterior cruciate ligamentAnterior cruciate ligament reconstructionKinematicsMedicineLigamentAnatomyOrthodonticsPhysics

Abstract

fetched live from OpenAlex

Anatomic intra-articular anterior cruciate ligament reconstruction (ACLR) techniques have been shown to reliably correct anteroposterior (translational) stability; however, they have failed to restore normal tibial rotational kinematics. Re-establishing rotational stability correlates with return to sport, functional scores, overall knee function and patient satisfaction. Several structures in addition to the ACL have been identified as important contributors to rotational knee stability. Recent interest in the anatomical and biomechanical properties of the anterolateral soft tissue structures has led to a resurgence in surgical techniques, specifically anterolateral ligament (ALL) reconstruction and lateral extra-articular tenodesis (LET), to address rotational stability at the time of ACL reconstruction. In the accompanying review we outline the relevant anatomy, biomechanics and clinical results for lateral augmentation procedures; discuss the indications and describe our preferred LET technique for lateral augmentation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.327
Teacher spread0.292 · 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