Primary total knee arthroplasty in patients with a significant bone defect in the medial tibial plateau: Case series and literature review
Bibliographic record
Abstract
INTRODUCTION AND IMPORTANCE: Total knee arthroplasty (TKA) can significantly enhance a patient's quality of life and knee function. As a result, it has become a popular procedure among orthopedic surgeons. However, there are some challenging cases that surgeons may encounter, such as treating bony defects in the tibial plateau in patients with advanced degeneration. If not managed properly, these cases can have serious consequences. CASE PRESENTATION: 4 patients with severe knee joint degeneration and bone loss in the medial tibial plateau were included in the series. The patients underwent TKA using the cement and screws technique to compensate for the defect in the medial tibial plateau. After (12-24 months) follow-up, all patients showed a clear clinical and functional improvement. CLINICAL DISCUSSION: Several ways exist to address bone loss in the tibial plateau in primary total knee joint arthroplasty. Among them, metal prostheses are frequently used. In certain situations, we may need to use more affordable techniques to ensure success for patients facing financial difficulties. This is particularly common in our country, and we may utilize methods such as the cement and screws technique. This study showed a clear improvement in the patient's clinical and functional outcomes according to The Western Ontario and McMaster Universities Arthritis Index (WOMAC) at the end of the follow-up period. CONCLUSION: The cement and screw technique might be a good solution for moderate bone loss in the tibial plateau. It might be a safe and simple method for patients, and it's also a viable option for those who can't afford pricier alternatives like metal augmentation or structural allografts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".