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Record W4283220056 · doi:10.1016/j.eats.2022.03.017

Posterior‐Medial Meniscal Root Repair Through Lateral Tibial Tunnel Combined With Medial Opening Osteotomy and Homologous Graft

2022· article· en· W4283220056 on OpenAlexaff
Rodrigo Araújo Goes, Raphael Serra Cruz, Douglas Mello Pavão, Thiago Vivacqua, André Luiz Siqueira Campos, Phelippe Augusto Valente Maia, Rodrigo Salim, José Leonardo Rocha de Faria

Bibliographic record

VenueArthroscopy Techniques · 2022
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsFowler Kennedy Sport Medicine Clinic
Fundersnot available
KeywordsMedicineValgusHigh tibial osteotomyVarus deformityOsteotomySurgeryCompartment (ship)Knee JointMedial meniscusTibiaDeformityOsteoarthritis

Abstract

fetched live from OpenAlex

When there is a rupture in the meniscal roots or close to them, the menisci suddenly and considerably reduce their capacity to absorb the axial mechanical load that passes through the knee, quickly leading to the development of a process of chondral degeneration. The varus deformity of the lower limb (when the mechanical axis crosses the medial compartment of the knee) favors this type of injury owing to the overload in the medial compartment. When the patient has both varus deformity and medial meniscal posterior root injury, there is a clear indication for surgical realignment of the affected lower limb. There is still not a consensus regarding combining meniscal root repair with corrective osteotomy, although there is a tendency to perform both procedures aiming at long-term joint preservation. We present a safe alternative technique for simultaneous medial meniscal posterior root repair using a lateral tibial transosseous tunnel associated with a valgus-producing high tibial osteotomy with homologous bone grafting, allowing a full return to daily activities and sports.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.265
Teacher spread0.257 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

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