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Record W4220662888 · doi:10.1016/j.jseint.2022.02.010

Arthroscopic revision rotator cuff repair of large and massive retears using an interpositional bridging dermal allograft

2022· article· en· W4220662888 on OpenAlexaffabout
Tanujan Thangarajah, Saho Tsuchiya, Jayd Lukenchuk, Ian K.Y. Lo

Bibliographic record

VenueJSES International · 2022
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRotator cuffMedicineSurgeryBridging (networking)Computer science

Abstract

fetched live from OpenAlex

BackgroundThe purpose of this study was to report the clinical outcomes and retear rate following arthroscopic interpositional bridging dermal allograft for revision rotator cuff repair of large and massive retears.MethodsTwenty-three patients were retrospectively reviewed at a minimum follow-up of 24 (mean, 47; range, 24-77) months after revision rotator cuff repair using an interpositional bridging dermal allograft. There were 17 males and 6 females with a mean age of 56 (range, 40-74) years. Clinical outcomes were assessed using range of motion, the American Shoulder and Elbow Surgeons score and Western Ontario Rotator Cuff Index. Graft integrity was assessed at 12-months using magnetic resonance imaging.ResultsThe interval between the primary rotator cuff repair and interpositional bridging graft was a mean of 82 (range, 7-192) months. Forward flexion improved from a mean of 145° (range, 60-180°) preoperatively to 152° (range, 135-170°) postoperatively (P = .3561). There was a decrease in external rotation from a mean of 50° (range, 20-80°) preoperatively to 37° (range, 0-45°) postoperatively (P = .0021). The American Shoulder and Elbow Surgeons score improved (P = .0196) from a mean of 50 (range, 10-88) to 69 (range, 22-97), and the Western Ontario Rotator Cuff index improved (P = .0008) from a mean of 34 (range, 3-90) to 57 (range, 14-93). The graft was intact in 39% of patients. No patients underwent further surgery.ConclusionInterpositional bridging grafting for revision rotator cuff repair of large and massive retears leads to a significant improvement in functional outcome but is associated with a high retear rate. The purpose of this study was to report the clinical outcomes and retear rate following arthroscopic interpositional bridging dermal allograft for revision rotator cuff repair of large and massive retears. Twenty-three patients were retrospectively reviewed at a minimum follow-up of 24 (mean, 47; range, 24-77) months after revision rotator cuff repair using an interpositional bridging dermal allograft. There were 17 males and 6 females with a mean age of 56 (range, 40-74) years. Clinical outcomes were assessed using range of motion, the American Shoulder and Elbow Surgeons score and Western Ontario Rotator Cuff Index. Graft integrity was assessed at 12-months using magnetic resonance imaging. The interval between the primary rotator cuff repair and interpositional bridging graft was a mean of 82 (range, 7-192) months. Forward flexion improved from a mean of 145° (range, 60-180°) preoperatively to 152° (range, 135-170°) postoperatively (P = .3561). There was a decrease in external rotation from a mean of 50° (range, 20-80°) preoperatively to 37° (range, 0-45°) postoperatively (P = .0021). The American Shoulder and Elbow Surgeons score improved (P = .0196) from a mean of 50 (range, 10-88) to 69 (range, 22-97), and the Western Ontario Rotator Cuff index improved (P = .0008) from a mean of 34 (range, 3-90) to 57 (range, 14-93). The graft was intact in 39% of patients. No patients underwent further surgery. Interpositional bridging grafting for revision rotator cuff repair of large and massive retears leads to a significant improvement in functional outcome but is associated with a high retear rate.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.024
GPT teacher head0.351
Teacher spread0.327 · 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 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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Citations4
Published2022
Admission routes2
Has abstractyes

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