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Record W4407039931 · doi:10.1177/23259671241307673

Comparing Conventional Double-Row With Transosseous Equivalent Suture Bridge Fixation in Arthroscopic Rotator Cuff Repairs: A Multicenter Retrospective Cohort Study

2025· article· en· W4407039931 on OpenAlexaffabout
Stéphanie Antoniades, Kellen Walsh, J. Whitcomb Pollock, Elham Sabri, Peter S. Macdonald, Martin Bouliane, Katie McIlquham, Taryn Hodgdon, Peter Lapner

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of AlbertaUniversity of ManitobaOttawa HospitalPan Am ClinicUniversity of Ottawa
Fundersnot available
KeywordsMedicineRotator cuffSurgeryElbowTearsFixation (population genetics)Randomized controlled trialRotator cuff injuryCuffCohortInternal medicinePopulation

Abstract

fetched live from OpenAlex

Background: Biomechanical studies have shown that the transosseous equivalent suture bridge (TOE-SB) rotator cuff repair technique improves contact areas and pressure between the tendon and footprint, which may facilitate healing. However, few studies have directly compared its outcomes with traditional double-row (DR) repair. Purpose/Hypothesis: The primary objectives of this study were to (1) compare the functional outcomes of DR with TOE-SB fixation in patients undergoing arthroscopic rotator cuff repairs and (2) compare healing rates between the 2 groups and investigate whether any factors were associated with healing. It was hypothesized that arthroscopic rotator cuff repair using DR repair would demonstrate no difference in disease-specific quality of life, patient-reported outcomes, or healing rates compared with TOE-SB repair. Study Design: Cohort study; Level of evidence, 3. Methods: This was a cohort study conducted as a subanalysis of 2 larger randomized controlled trials. Patients ≥18 years old with degenerative rotator cuff tears confirmed by magnetic resonance imaging who had persistent symptoms of pain and functional impairment after 6 months of nonoperative management were enrolled in prospective randomized controlled trials and underwent either a traditional DR repair or a TOE-SB rotator cuff repair. Functional outcomes were assessed using the Western Ontario Rotator Cuff index, the American Shoulder and Elbow Surgeons score, and the Constant score at baseline and 3, 6, 12, and 24 months postoperatively. Healing rates were determined using ultrasound at 24 months postoperatively. Results: A total of 184 patients were included in this study; 34 patients underwent conventional DR repair and 150 underwent TOE-SB repair. Postoperative changes in the outcome measures from baseline were statistically significant for all outcomes in both groups ( P < .0001). No statistically significant differences were found between outcomes at any of the follow-up times, except a significant difference in the Constant score at 24 months in favor of the DR group (mean ± SE, 80.5 ± 1.1 [95% CI, 78.4-82.7]) and TOE-SB and DR, respectively (mean ± SE, 85.7 ± 2.2 [95% CI, 81.2-90.1]) ( P = .041). Healing rates were 77.8% for DR and 83% for TOE-SB (odds ratio, 1.34 [95% CI, 0.53-3.38]; P = .53). Multivariable regression analysis showed a positive correlation between nonhealing rates and the rotator cuff tear size in the sagittal plane (odds ratio, 1.97 (95% CI, 1.02-3.78); P = .042). Conclusion: No difference was found between DR and TOE-SB rotator cuff repair in the Western Ontario Rotator Cuff index, the American Shoulder and Elbow Surgeons score, Constant strength subscore, or the healing rate. The Constant score at the 24-month follow-up favored DR repair but did not reach the minimal clinically important difference. An association was found between higher healing rates and smaller sagittal plane tear sizes.

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)0.007
metaresearch head score (Gemma)0.011
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 score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.316
Teacher spread0.295 · 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 routes2
Has abstractyes

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