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Record W2983116164 · doi:10.1097/bte.0000000000000177

Reconstruction of Chronic Distal Biceps Tendon Rupture With Autogenous Semitendinosis Graft Using the “Anatomic Length Method” and Concomitant Bicipital Aponeurosis Repair

2019· article· en· W2983116164 on OpenAlexaff
Waleed Albishi, Jason J. Lam, Amr Elmaraghy

Bibliographic record

VenueTechniques in Shoulder & Elbow Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsUniversity of TorontoSt Joseph's Health Centre
Fundersnot available
KeywordsMedicineCadaveric spasmAponeurosisBicepsBiceps tendonAnatomyTendonElbowFixation (population genetics)Surgery

Abstract

fetched live from OpenAlex

We present a novel variation of a surgical technique for reconstruction of chronic distal biceps tendon ruptures using the “Anatomic Length Method.” Graft length for chronic distal biceps tendon rupture reconstruction is extremely variable and typically empirically determined by elbow position during final fixation. These techniques do not account for chronicity and varying degrees of retraction and muscle shortening. For this unique variation in the surgical technique, the graft length used is based on previous anatomic cadaveric measurements done in our center with an external distal biceps tendon length mean of 6.3 cm. In addition, our technique routinely reconstructs the bicipital aponeurosis. This allows for a highly reproducible surgical technique and restores a more normal biceps anatomy and muscle length-tension relationship.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.023
GPT teacher head0.294
Teacher spread0.271 · 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 designObservational
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

Citations2
Published2019
Admission routes1
Has abstractyes

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