Poster 104: Lower trapezius tendon transfer improves range of motion, function, and restores external rotation in patients with a massive, irreparable, posterosuperior rotator cuff tear
Bibliographic record
Abstract
Objectives: Massive, irreparable rotator cuff tears can cause severe pain and weakness. In younger, more active patients, joint salvage interventions are the preferred treatment. Over the last decade, lower trapezius tendon transfer (LTTT) has increasingly been used to reduce pain and improve function in patients with massive posterosuperior rotator cuff tears. Few studies have reported outcomes following LTTT or examined risk factors for failure and poor patient reported outcomes The objective of this study was to report on failure rate, patient reported outcomes, and possible risk factors up to 2-years postoperative in those undergoing LTT in the management of massive, irreparable, posterosuperior rotator cuff tears. Methods: This is a prospective longitudinal observational study conducted between 2018 and 2023. All patients undergoing arthroscopic assisted LTTT by 2 fellowship trained upper extremity surgeons from two sites were screened. Inclusion criteria were patients with massive (2+ tendons), irreparable rotator cuff tears in the primary or revision setting. Irreparable was defined as two or more of the following: grade 3 or higher fatty infiltration, patte grade 3, tendon length < 15mm, previous rotator cuff repair surgery. Exclusion criteria were prisoners, military, non-English speakers, and patients <18 years old. Consented patients completed a demographic form, the Single Assessment Numeric Score (SANE), 4-point satisfaction scale (poor, fair, good, excellent), and the American Shoulder and Elbow Surgeon test at baseline at 12- and 24-months postoperative. A clinical assessment was conducted at all time points including range of motion and lag sign. Surgical failure was defined as reoperation, LTTT failure, SANE score of <50%, or forward flexion of less than 90°. Descriptive statistics were generated for all measures. Independent t tests were performed between time points for patient-reported outcomes. Exploratory logistic regression was conducted to evaluate risks of failure with age, sex, workers’ compensation benefits (WCB), primary or revision surgery, subscapularis status, and subscapularis repair as possible predictors. Linear regression was conducted to evaluate possible predictors of 12-month postoperative SANE scores including WCB status and revision or primary surgery. Results: Seventy-four patients were recruited to this study and completed 1-year follow-up. Fifty-one patients reached 24 months of follow-up. Twenty-six had previous rotator cuff procedures before undergoing LTTT. The mean (SD) age was 58.3 (7.8) years with 17 (23%) females and 57 (77%) males. Seven patients were WCB clients and 10 patients were smokers. Five patients had a complete full tear of subscapularis and 19 had a tear of the upper 50% or less. Ten (14%) LTTT surgeries were considered failures by 24-months postoperative, of which 5 had a subscapularis repair during their LTTT procedure, and 5 had a normal subscapularis. Table 1 presents patient reported outcomes and active range of motion scores pre- and postoperatively. Lag sign was positive in 42 of 74 patients preoperatively, with 32 patients corrected with surgery, 4 patients remaining positive, and 6 patients who did not attend in-person postoperative follow-up. The 4 patients with persistent lags were identified as failures. A complete full-thickness subscapularis tear was predictive of failure (p=0.009) despite full repair. WCB status was predictive of 12-month SANE score (p=0.006). Other variables were not predictive. Conclusions: Most patients experience improved range of motion, functional outcomes and restoration of external rotation at up to 2 years post-LTTT surgery. However, those that have a complete full-thickness subscapularis tear may be at greater risk of failure despite undergoing repair, and WCB patients may have lower SANE scores at 12-months postoperative.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".