Treatment of an infected total hip replacement with the PROSTALAC system. Part 2: Health-related quality of life and function with the PROSTALAC implant in situ.
Bibliographic record
Abstract
INTRODUCTION: Infection after total hip replacement (THR) adversely affects patients' function and health-related quality of life (HRQL). A prosthesis with antibiotic-loaded acrylic cement (PROSTALAC) was designed to improve the function and quality of life of patients undergoing treatment for infected THR. METHODS: We assessed 23 patients with the PROSTALAC implant in situ for treatment of an infected THR for function and HRQL, using standardized outcome measures. These patients were compared with a referent cohort of patients who had undergone assessment of function and HRQL before and 6 months after primary THR in the same tertiary health centres. RESULTS: The mean (standard deviation) Western Ontario MacMaster (WOMAC) scores for PROSTALAC patients were 70.0 (21.1), 65.8 (20.4) and 63.0 (21.1) for pain, stiffness and function, respectively. The median Harris Hip score was 62.3 (minimum 20.4, maximum 86.3) and median global hip range of motion was 100.0 (minimum 80.0, maximum 140.0) degrees. CONCLUSION: The mean WOMAC scores for pain, stiffness and function were better than they were for patients awaiting THR but not as good as 6 months after primary THR. The PROSTALAC implant allows patients to have reasonable function and quality of life during the interim treatment for deep joint infection.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".