Humeral Head Arthroplasty and Meniscal Allograft Resurfacing of the Glenoid
Bibliographic record
Abstract
The two to five-year results of humeral head arthroplasty and lateral meniscal allograft resurfacing of the glenoid in patients fifty-five years of age or younger were previously reported by the senior author (M.A.W.). The purpose of the present study was to report the survival rate, clinical findings, and radiographic results of the original thirty shoulders (thirty patients) followed for a mean duration of 8.3 years (range, five to twelve years). The scores on the visual analog scale for pain, American Shoulder and Elbow Surgeons scoring system, and Simple Shoulder Test were significantly improved at the latest follow-up evaluation compared with the preoperative findings (p < 0.001). Radiographic indices of posterior subluxation did not significantly increase from the immediate postoperative imaging to the latest radiographs, while the glenohumeral joint space demonstrated a gradual decrease. Nine (30%) of thirty shoulders were known to have undergone a reoperation. The present study demonstrated that biological glenoid resurfacing combined with hemiarthroplasty can provide significant improvement in shoulder function and pain relief in young patients with glenohumeral arthritis; however, mid-term follow-up at a mean of over eight years demonstrated a high reoperation rate.
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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 | 0.001 |
| 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) | 0.001 | 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 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".