Management of Bone Defects in Revision Total Knee Arthroplasty
Bibliographic record
Abstract
Background: Bone defects remains a frequent complication of total knee arthroplasty (TKA). The management of these defect in the revision TKA is a surgical challenge. The aim of the work: This study aimed to evaluate the clinical and radiological outcome of the bone defects management in revision TKA (rTKA). Patients and Methods: Thirty patients with bone defects after TKA were included. All were classically evaluated by history taking, clinical examination, laboratory and radiological workup. Then submitted to rTKA with management of bone defects by different methods. They were followed up at 6 weeks, 3 months, 6 months then yearly. The clinical outcome was measured by Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, range of motion (ROM), leg raising test and clinical assessment of limb alignment. The radiological outcome by limb & component alignment. In addition, any complications were recorded. Results: The side of surgery was mainly the right side (66.7%). The bone defect was mainly femoral (50.0%), then tibial (40.0%) The majority of cases were Anderson class IIA (53.3%) and aseptic loosening was the major cause (56.7%). Metal augments was the commonest treatment method (50% of cases) followed by bone graft in 16.7%. There was significant increase of postoperative ROM (100) and WOMAC score (85.9) after surgery than corresponding values before surgery (45 and 19 respectively). Deep infection was confined to cases with cone and metal block, while deep vein thrombosis (DVT) was confined to metal block and metal augments. The postoperative WOMAC score was significantly different between management methods (the highest score was recorded with metal augments and metal blocks (90 and 90.5 respectively), while the lowest was registered with the cone (70.7). Conclusion: The management method of bone defect had significant impact on complication type and operative time, but not on functional outcome following revision TKA.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".