Humeral Head Replacement and Reverse Shoulder Arthroplasty for the Treatment of Proximal Humerus Fracturesm
Bibliographic record
Abstract
Acute proximal humeral fractures in the elderly are generally treated non-operatively if alignment is acceptable and in stable fracture patterns. When operative treatment is indicated, surgical fixation is often difficult or impossible to obtain. Hemiarthroplasty has long been the standard of care. However, with its reliance on tuberosity healing, functional outcomes and patient satisfaction are often poor. Reverse shoulder arthroplasty has emerged as a new technology for treating proximal humeral fractures but the indications for its use remain uncertain. While not conclusive, the evidence suggests that reverse shoulder arthroplasty yields more consistent results, with improved forward elevation and higher functional outcome scores. The primary advantages of hemiarthroplasty are improved shoulder rotation and shorter operative time. Complication rates do not vary significantly between the two options. Although higher quality trials are needed to further define the role of reverse shoulder arthroplasty, current evidence suggests that this is a reasonable option for surgeons who are highly familiar with its use.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".