Primary and Secondary Total Knee Arthroplasty for Tibial Plateau Fractures
Bibliographic record
Abstract
The surgical management of tibial plateau fractures can be technically demanding. In younger patients, the mainstay is fixation with cartilage preservation. In older patients with osteoporotic bone, this method has higher rates of fixation failure; in addition, it requires prolonged bed rest or protected weight bearing, which are major challenges in this group. In contrast, total knee arthroplasty performed acutely for primary treatment of tibial plateau fractures has potential advantages for elderly patients, such as immediate stability, early mobilization, and positive functional outcomes with decreased rates of reoperation. Additionally, arthroplasty can be technically challenging in younger patients with previous tibial plateau fractures in whom debilitating posttraumatic arthritis develops. In these patients, old wounds, retained metalwork, bony deficiency, and instability can lead to poorer outcomes and higher complication rates than in routine knee arthroplasty. In both cases, we recommend surgery be performed by experienced arthroplasty surgeons with ample access to a range of implants with varying constraints and the option of stems and augments.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".