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Record W3124247133 · doi:10.1016/j.eats.2020.09.004

Arthroscopic Medial Meniscal Posterior Root Repair With Transtibial Luggage‐Tag and Horizontal Mattress Sutures

2021· article· en· W3124247133 on OpenAlexaff
David Drynan, Marcel Betsch, Waael Aljilani, Daniel B. Whelan

Bibliographic record

VenueArthroscopy Techniques · 2021
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsSt. Michael's HospitalWomen's College HospitalUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsMedicineMedial meniscusFibrous jointMeniscusSurgeryKnee flexionAnatomyOrthodonticsOsteoarthritis

Abstract

fetched live from OpenAlex

Medial meniscal posterior root repair techniques have shown positive yet varied results in the literature. The decision to perform repair has improved clinical outcomes in many situations, although the healing rate is approximately 64% and the repair strength is roughly one-third of the native root strength, with meniscal extrusion being common. We present a technique based on biomechanical evidence to obtain a strong anatomic posterior root repair to restore nearly normal knee mechanics, combining an increased size of footprint under the lateral aspect of the medial meniscal horn for healing and a luggage-tag suture with a posteriorly placed horizontal mattress suture. The horizontal mattress suture is passed to capture the circumferential fibers of the meniscus and the luggage-tag suture is passed to capture the radial fibers of the meniscal body, through a single transtibial tunnel. The aim of this repair is to restore the normal meniscal function.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.255
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.258
Teacher spread0.253 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations5
Published2021
Admission routes1
Has abstractyes

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