Augmented latissimus dorsi transfer: initial results in patients with massive irreparable posterosuperior rotator cuff tears
Bibliographic record
Abstract
Background The surgical treatment of irreparable massive rotator cuff tears is challenging. The purpose of the present study was to report the initial outcomes after a modified latissimus dorsi transfer (LDT) augmented by acellular dermal allograft (ADA). Methods This retrospective study includes 24 patients managed with LDT using ADA augmentation as a bursal-sided onlay between March 2009 and December 2015. Results All patients were men with a mean age of 57 years (range 48 years to 70 years). Seven patients had a previously failed rotator cuff repair and ten patients presented with a deficient subscapularis tendon. At last follow-up (mean 27 months), there was a significant improvement in active forward flexion (mean increase 31°; p = 0.016), and abduction by 25° ( p = 0.059). The acromiohumeral distance remained stable and the failure rate was low (4%). Neither a history of previous rotator cuff surgery, nor the presence of a subscapularis tear had a negative impact on functional outcome. Conclusions In our cohort of patients, LDT augmented with ADA was a reasonable option for patients with previously failed rotator cuff repair, as well as in the subgroup of patients with a deficient subscapularis tendon. Level of evidence Level IV: Therapeutic study (case series)
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 0.000 |
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.
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 teacher head, 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".