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Record W3041102035 · doi:10.1016/j.asmr.2020.05.017

Patient‐Determined Outcomes After Arthroscopic Margin Convergence Rotator Cuff Repair

2020· article· en· W3041102035 on OpenAlexaboutno aff
Keith M. Baumgarten

Bibliographic record

VenueArthroscopy Sports Medicine and Rehabilitation · 2020
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
FundersArthrex
KeywordsRotator cuffMargin (machine learning)Convergence (economics)MedicineSurgeryComputer scienceEconomicsMachine learning

Abstract

fetched live from OpenAlex

PURPOSE: To determine whether patients who require margin convergence would have equivalent postsurgical patient-determined scores compared with patients with standard rotator cuff repair. The secondary purpose of this study was to determine whether the short-term results found for patients with margin convergence repairs would be durable through medium-term follow-up. METHODS: A retrospective analysis of patients undergoing arthroscopic rotator cuff repair was performed to examine the effects of marginal convergence on patient-determined outcomes (Western Ontario Rotator Cuff Index, American Shoulder and Elbow Surgeons score, Simple Shoulder Test, Single Assessment Numeric Evaluation, and Shoulder Activity Level). Patient-determined outcomes in patients who had margin convergence repairs were compared with patients who had standard rotator cuff repair. Prospective follow-up of patients that had margin convergence repairs was performed to determine whether patient-determined outcomes deteriorated over time. RESULTS: Two-hundred-seventy-two patients had standard rotator cuff repairs and 9 patients had margin convergence rotator cuff repair (3.2%). All patients had significant improvements in their Western Ontario Rotator Cuff Index, American Shoulder and Elbow Surgeons score, Simple Shoulder Test, and Single Assessment Numeric Evaluation. Patients requiring margin convergence rotator cuff repair had similar preoperative and postoperative scores compared with patients with a standard rotator cuff repair. At a mean follow-up of 7.5 years, there was no change in outcome scores compared with the early follow-up time point (mean 3.3 years) for patients undergoing margin convergence. CONCLUSIONS: Arthroscopic margin convergence repair techniques along with the treatment of concomitant pathologies result in similar patient-determined outcomes compared with standard rotator cuff repair techniques. These results appear to be durable and do not deteriorate from short-term to medium-term follow-up. LEVEL OF EVIDENCE: III: Retrospective comparative study.

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 score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.013
GPT teacher head0.294
Teacher spread0.282 · 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".

Quick stats

Citations8
Published2020
Admission routes1
Has abstractyes

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