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Record W2891002609 · doi:10.1177/0363546518795165

Clinical and Radiological Long-term Results After Implant-Free, Autologous, Iliac Crest Bone Graft Procedure for the Treatment of Anterior Shoulder Instability

2018· article· en· W2891002609 on OpenAlexaboutno aff
Philipp Moroder, Fabian Plachel, Johannes Becker, Eva Schulz, Shejla Abdic, Maximilian Haas, Herbert Resch, Alexander Auffarth

Bibliographic record

VenueThe American Journal of Sports Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineShouldersIliac crestRange of motionRadiological weaponSurgeryRadiographyAnterior shoulderArthropathyCoracoidOsteoarthritis

Abstract

fetched live from OpenAlex

BACKGROUND: The implant-free, autologous, iliac crest bone graft procedure (J-bone graft) for the treatment of anterior shoulder instability shows low rates of recurrent dislocations and moderate progression of instability arthropathy in the midterm follow-up. PURPOSE: To analyze the clinical and radiological long-term results of the J-bone graft procedure. STUDY DESIGN: Case series; Level of evidence, 4. METHODS: A total of 46 patients (47 shoulders) with anterior shoulder instability and a relevant bony glenoid defect who received a J-bone graft between 1993 and 2000 and who were previously subjected to a midterm follow-up (mean, 8 years) were included. In total, 34 patients and 35 shoulders (74%) were clinically and radiologically assessed after a mean follow-up of 18 years (range, 15-23 years). Patients were assessed in terms of pain, bilateral active range of motion, and strength; in addition, the Western Ontario Shoulder Instability Index (WOSI), the Rowe Score, and the Subjective Shoulder Value (SSV) were obtained. Both an apprehension test and a relocation test were performed. Radiological imaging included bilateral radiographs (true anteroposterior and axillary view) to determine the grade of instability arthropathy. RESULTS: At final follow-up, a mean WOSI score of 295 (range, 0-1765), Rowe Score of 94 (range, 55-100), SSV of 90% (range, 20%-100%), and pain level of 0.5 (range, 0-4) were noted. Slight differences were detected in active range of motion between the affected and the contralateral side: flexion 178° vs 179° ( P = .325), abduction 177° vs 179° ( P = .225), external rotation 63° vs 67° ( P = .048), high external rotation 77° vs 82° ( P = .007), internal rotation 8.8 vs 9.4 points ( P = .017), and high internal rotation 70° vs 74° ( P = .026). No significant strength deficit of the affected side was noticed. In 1 patient, a traumatic redislocation with fracture of the bone graft was observed 6 weeks after index surgery. No further recurrences were found during the follow-up period. Negative apprehension and relocation tests were confirmed in 77% of the shoulders, while 23% were positive. At final follow-up, 9 shoulders showed no signs of instability arthropathy (26%), mild arthropathy was revealed in 22 shoulders (63%), moderate arthropathy was noted in 3 shoulders (9%), and signs of severe arthropathy were found in 1 shoulder (3%) (collective instability arthropathy score, 0.9). The collective instability arthropathy score on the contralateral side was 0.4 ± 0.8 with no instability arthropathy in 24 shoulders (69%), mild arthropathy in 8 shoulders (23%), moderate signs of arthropathy in 2 shoulders (6%), and severe arthropathy in 1 shoulder (3%) at the time of follow-up examination (collective instability arthropathy score, 0.4). The overall difference between affected shoulders and contralateral shoulders was significant ( P = .005). CONCLUSION: The J-bone graft procedure for the treatment of recurrent anterior shoulder instability shows excellent results regarding stability and function after a mean follow-up period of 18 years. However, the development of instability arthropathy of the affected shoulder is not prevented by this procedure.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.370
Teacher spread0.334 · 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".

Quick stats

Citations50
Published2018
Admission routes1
Has abstractyes

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