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Record W4390343813 · doi:10.1097/btf.0000000000000411

Split-tendon Docking Technique for Tibialis Anterior Allograft Reconstruction

2023· article· en· W4390343813 on OpenAlexaff
Cameron Elgie, Mark Glazebrook, Andrew F. Walls, Gaurav Arora

Bibliographic record

VenueTechniques in Foot & Ankle Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsDalhousie UniversityNOSM University
Fundersnot available
KeywordsMedicineTendonAnkleSurgeryFoot and ankle surgery

Abstract

fetched live from OpenAlex

Tibialis anterior ruptures present unique surgical challenges due to frequently delayed diagnosis, often necessitating tendon reconstruction. The Pulvertaft weave has been a mainstay for tendon coaptation in graft reconstruction, but the bulky nature of that construct is a disadvantage in areas with limited soft tissue, such as the foot and ankle. Here we introduce the “split-tendon docking” technique as an alternative, aiming to maintain the strength of the tendon coaptation while reducing its profile. Preoperative evaluation is discussed, including clinical and imaging assessments. The technique is described, including the approach, graft preparation, and docking technique. Complications and postoperative care are considered. While the technique requires further use and validation, it presents a promising, lower-profile alternative for foot and ankle tendon coaptation. Level of Evidence: Diagnostic Level 5. See Instructions for Authors for a complete description of levels of evidence.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
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 head0.041
GPT teacher head0.314
Teacher spread0.273 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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