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Record W4409099343 · doi:10.1016/j.jse.2025.02.047

Tornier Perform Anatomic Augmented Glenoid Implants correct posterior subluxation and maintain active joint reduction in Walch B2 glenoids

2025· article· en· W4409099343 on OpenAlexaff
Kylie K. Paliani, James C. Hunter, James A. Johnson, Ting‐Yim Lee, George S. Athwal, Emily Lalone

Bibliographic record

VenueJournal of Shoulder and Elbow Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsSt Joseph's Health CareHand and Upper Limb ClinicWestern University
FundersStryker
KeywordsMedicineSubluxationReduction (mathematics)Joint (building)OrthodonticsSurgeryPathology

Abstract

fetched live from OpenAlex

BACKGROUND: The Walch type B2 glenoid is characterized by retroversion, posteroinferior erosion and posterior humeral head subluxation. A surgical management option for a B2 glenoid is an anatomic total shoulder arthroplasty (aTSA) with a posteriorly augmented all-posterior augmented glenoid (PAG) implant. However, little is known about what occurs actively at the glenohumeral articulation after aTSA with a PAG. Additionally, most studies on B2 glenoids, whether pre-aTSA or post-aTSA, assess subluxation statically. Presently, it is unknown if subluxation recurs after aTSA with a PAG or if it varies dynamically throughout active motion. Therefore, the primary objective of this study was to determine if Walch type B2 patients managed with an aTSA and a PAG (Tornier Perform Anatomic Augmented Glenoid Implant) would maintain correction of subluxation when examined statically and when stressed with active motion. The secondary objective was to analyze if a patient's range of motion (good or limited), magnitude of B2, or PAG implant size (15° or 25°) affect postoperative correction of subluxation. METHODS: Twenty Walch type B2 patients (mean age 68 years, range 54-83) underwent stemless aTSA with a 15° or 25° PAG implant and were assessed at a minimum 2-year follow-up. All patients underwent dynamic four-dimensional computed tomography scanning to actively track glenohumeral implant alignment and subluxation during a provocative active internal rotation (IR) motion protocol. Bone and implant 3D models of the humerus and scapula for each four-dimensional computed tomography scan were created using 3D Slicer. Landmarks were selected on the models to create coordinate systems that were then used in conjunction with a custom program (MATLAB) to determine subluxation preoperatively (statically), and postoperatively (dynamically). RESULTS: Posterior humeral head subluxation was significantly corrected (P < .001) from an average of 66% (range 51%-98%) preoperatively to 54% (range 41%-77%) postoperatively. Concentric aTSA joint alignment was maintained throughout an active IR motion protocol, as subluxation percentage only varied by 1% throughout IR movement (range 54%-55%). Neither patient IR range of motion (good or limited) nor size of PAG (15° or 25°) had a significant effect (P > .05) on subluxation postoperatively. CONCLUSION: At short-term follow-up, aTSA with an all-polyethylene PAG (Tornier Perform Anatomic Augmented Glenoid Implant) was successful at restoring and maintaining glenohumeral alignment with correction of subluxation throughout a provocative active IR motion protocol. As such, recurrence of subluxation does not occur statically or actively in patients who have undergone glenoid reconstruction with correction of posteroinferior erosion with a half-wedge PAG implant. Thus, aTSA with a PAG implant is an acceptable option for patients with mild or moderate B2 glenoids.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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