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Record W4413332491 · doi:10.1016/j.eats.2025.103820

Arthroscopic Graft Reconstruction for Nonrepairable Scapholunate Ligament Injuries

2025· article· en· W4413332491 on OpenAlexaff
Spencer B. Chambers, Eric R. Wagner

Bibliographic record

VenueArthroscopy Techniques · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsHand and Upper Limb ClinicWestern University
Fundersnot available
KeywordsMedicineScapholunate ligamentSurgeryLigament

Abstract

fetched live from OpenAlex

Disruption of the scapholunate intercarpal ligament (SLIL) remains one of the most challenging wrist pathologies to treat. As this injury progresses, diastasis of the scapholunate interval and secondary carpal malalignment occur, leading to abnormal motion and arthritis. Acute injuries may be repairable, but delayed presentation is common, in which the ligament cannot be fixed primarily. Many reconstructive procedures have been described that improve clinical function, but outcomes are variable and no procedure reliably prevents arthrosis. Some of this variability may be related to disruption of secondary stabilizers during open approaches, which motivated the development of arthroscopic interventions. Arthroscopic SLIL reconstruction is technically demanding but maintains secondary stabilizers and capsular vascularity and allows for treatment after arthroscopic evaluation. We describe an arthroscopic reconstructive technique to re-create the volar and dorsal SLIL while reconstructing the long radiolunate ligament. This approach causes minimal soft-tissue disruption and allows for earlier mobilization compared with open procedures. With arthroscopy being critical to the diagnosis and treatment of SLIL injuries, a reliable arthroscopic reconstructive technique is a vital tool for any surgeon treating this pathology.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.319
Teacher spread0.310 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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