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Record W4410855772 · doi:10.1016/j.xrrt.2025.05.008

Comparative study between arthroscopic repair vs. débridement of Ellman grade II PASTA lesions

2025· article· en· W4410855772 on OpenAlexaff
Dimitrios V. Papadopoulos, Athanasios Kontogiannis, James R. Mullen, Vasiliki Kakogeorgou, Nikolaos A. Stavropoulos, Stavros Goumenos, Vasileios S. Nikolaou, George C. Babis

Bibliographic record

VenueJSES Reviews Reports and Techniques · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsSt. Clair College
Fundersnot available
KeywordsDebridement (dental)MedicineSurgery

Abstract

fetched live from OpenAlex

Background: Although débridement is typically recommended for the treatment of medium-sized 3-6 mm (Ellman grade II) partial-thickness articular-sided supraspinatus tendon avulsion (PASTA) lesions, this approach is associated with mixed results. The purpose of this study is to compare the postoperative outcomes between arthroscopic débridement vs. repair in Ellman grade II PASTA lesions. Methods: A retrospective study was performed in which 17 patients with a grade II PASTA lesion underwent arthroscopic débridement compared to 18 patients in whom conversion to full-thickness tear and repair was performed. Patients were evaluated preoperatively, at 6 months, 12 months and 24 months postoperatively. Shoulder range of motion and residual pain using the visual analog scale score were assessed. Constant-Murley and American Shoulder and Elbow Surgeons (ASES) scores were also calculated. Results: < .001) scores. Conclusions: The results of this study indicate that repair of grade II PASTA lesions are associated with improved outcomes when compared to débridement. However, future studies with a larger sample size are needed to validate the results of this study to determine whether a change in the "commonly accepted" practice of débridement alone for grade II PASTA lesions should be considered.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.080
GPT teacher head0.425
Teacher spread0.346 · 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.

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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