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Record W3210601735 · doi:10.1177/2325967121s00351

Primary versus revision arthroscopic bridging reconstruction using dermal allograft: a clinical and radiographic analysis (243)

2021· article· en· W3210601735 on OpenAlexaffabout
Ivan Wong, Sara Sparavalo, Jie Ma, Nedal Alkhatib

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineRotator cuffRadiological weaponSurgeryTearsArthrofibrosisArthroscopyRadiographyRetrospective cohort studyRange of motion

Abstract

fetched live from OpenAlex

Objectives: Large or massive rotator cuff tears make up between 10-40% of all rotator cuff tears, yet there is no agreement on the best treatment. Previous studies have shown that acellular human dermal allograft (AHDA) can be used for bridging reconstruction with positive patient outcomes. The use of this surgical technique has not been extensively studied in the primary or revision surgical setting. The main objective of this study was to compare the clinical and radiographic outcomes of patients who received primary or revision arthroscopic bridging reconstruction. Methods: This study is a retrospective review of a sequential series of patients who underwent arthroscopic bridging reconstruction (ABR) using AHDA by the primary author (IW). A total of 130 patients underwent ABR between 2010 and 2018. The inclusion criteria were patients with completed Western Ontario Rotator Cuff (WORC) questionnaire, Disabilities of the Arm, Shoulder, and Hand (DASH) score, or both pre-operatively and at multiple post-operative timepoints. Patients with missing WORC scores were excluded from the study. Eighty-three patients were included following chart review. Patients with available post-operative MRIs were also used for radiological assessment by an independent MSK-trained radiologist. Post-operative MRIs were reviewed to assess for graft integrity and changes to rotator cuff muscle atrophy (using the Warner classification) and fatty degeneration (using the Goutallier classification). Results: There were 46 patients who received primary ABR and 37 who received revision ABR. Forty-eight patients had a post-operative MRI available for review (Primary: 25; Revision: 23). The demographics are summarized in Table 1. Both groups showed a significant improvement in WORC score post-operatively (p<0.001). Primary ABR resulted in higher post-operative WORC scores as compared to revision ABR (p=0.015; Figure 1). The incidence of complete re-tears in the primary group was 8% and 17.4% in the revision group. More than 35% of patients in the primary group showed improvement in fatty infiltration of the infraspinatus and supraspinatus muscles. There was a higher progression in muscle atrophy in the revision group as compared to the primary group (74% and 30%, respectively). Conclusions: Arthroscopic primary arthroscopic bridging reconstruction for large/massive rotator cuff tears using acellular human dermal allograft had better improvement in their WORC scores compared to revision group at the final follow-up. Although the revision group had improved at the two-year follow-up, these changes in WORC score were not sustained at the final follow-up while the improvements were maintained for the primary group. The primary group had a smaller re-tear rate, better fatty infiltration and muscle atrophy as compared to the revision group. This suggests that primary bridging reconstruction provides better outcomes than a revision surgery.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.376
Teacher spread0.345 · 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
Published2021
Admission routes2
Has abstractyes

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