OUTCOMES FOLLOWING TOTAL HIP AND TOTAL KNEE ARTHROPLASTY IN PATIENTS WITH PAGET'S DISEASE OF BONE: A SYSTEMATIC REVIEW
Bibliographic record
Abstract
Patients with Paget's Disease of Bone (PDB) more frequently require total hip arthroplasty (THA) and total knee arthroplasty (TKA). However, controversy remains regarding their outcome. This project aims to evaluate the current literature regarding outcomes following THA and TKA in PDB patients. MEDLINE, EMBASE and Cochrane databases were searched on February 15th, 2022. Inclusion criteria comprised studies evaluating outcomes following THA/TKA in PDB patients. Quality of included studies was assessed using the Newcastle-Ottawa Scale. 19 articles (published between 1976–2022) were included, comprising 58,695 patients (48,766 controls and 10,018 PDB patients), from 209 potentially relevant titles. No study was of high quality. PDB patient pooled mortality was 32.5% at mean 7.8(0.1-20) years following THA and 31.0% at mean 8.5(2-20) years following TKA. PDB patient revision rate was 4.4% at mean 7.2(0-20) years following THA and 2.2% at mean 7.4(2-20) years following TKA. Renal complications, respiratory complications, heterotopic ossification, and surgical site infection were the most common medical and surgical complications. The largest systematic review, to date, evaluating outcomes following THA and TKA in PDB patients. All functional outcome scores improved. PDB patient revision rate was comparable to UK National Joint Registry. However, there is a significant need for prospective matched case-control studies to robustly compare outcomes in PDB patients with unaffected counterparts.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".