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Record W2801828974 · doi:10.1016/j.eats.2018.01.011

Arthroscopic Anterior and Posterior Glenoid Bone Augmentation With Capsular Plication for Ehlers‐Danlos Syndrome With Multidirectional Instability

2018· article· en· W2801828974 on OpenAlexaff
Mitchel D. Armstrong, Benjamin Smith, Catherine Coady, Ivan Wong

Bibliographic record

VenueArthroscopy Techniques · 2018
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsNova Scotia Health AuthorityDalhousie UniversityJoseph Brant HospitalOttawa Hospital
Fundersnot available
KeywordsMedicineSurgeryIliac crestEhlers–Danlos syndromeArticular surfaceAnatomy

Abstract

fetched live from OpenAlex

Recurrent multidirectional shoulder instability is a difficult clinical problem. This can be compounded in patients with connective tissue diseases such as Ehlers-Danlos syndrome. We present an all-arthroscopic technique involving extra-articular anterior and posterior glenoid bone grafting to augment a capsular repair in a patient with Ehlers-Danlos syndrome and recurrent multidirectional shoulder instability. Graft options include either distal tibial allograft or iliac crest autograft. Anterior graft placement uses a dilated far medial portal using an inside-out technique. The posterior graft is placed through a dilated posterior portal. A 1-mm edge of anterior and posterior glenoid rim is denuded of cartilage for later capsular repair, and grafts are secured flush to the osseous surface. A capsular plication is then completed and repaired to the prepared native glenoid surface, using the grafts as extra-articular osseous bumpers.

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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.014
GPT teacher head0.314
Teacher spread0.300 · 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

Citations19
Published2018
Admission routes1
Has abstractyes

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