FIVE-YEAR SURVIVORSHIP OF CERAMIC-ON-CERAMIC HIP RESURFACING: AN INTERNATIONAL MULTICENTRE STUDY
Bibliographic record
Abstract
Metal-on-metal (MoM) hip resurfacing (HR) has shown excellent results in male patients with adequate head size and suitable morphology. However, due to the long-term risk of adverse tissue reactions, particularly in females as well as limitations in component sizes, ceramic-on-ceramic (CoC) HRA has been introduced as an alternative. This study aims to examine overall survivorship and the effect of gender and component sizes on the five-year survivorship of the ReCerf CoC HRA. An international retrospective analysis was conducted on 604 consecutive patients (330 males, 264 females) with a mean age of 50.1 years (range 20–80 years) who underwent CoC HR from 3 September 2018 to 4 June 2024. All revisions were captured, and no patients were lost to follow-up. Kaplan-Meier analysis was used to determine the survivorship at 5 years. Cox proportional hazards model was used to analyse the influence of gender and implant size on the risk of revision. At a mean follow-up of 3.6 years (range: 2.4–5.7 years), the 5-year survivorship was 98.2% (95% CI 96.7–99.0%). The 5-year survivorship rates were 98.1% for males (95% CI 95.7–99.1%), 98.4% for females (95% CI 95.7–99.4%), 98.4% for femoral head sizes ≤ 48 mm (95% CI 95.9–99.4%), and 98% for head sizes ≥ 48 mm (95% CI 95.6–99.1%). Multivariate analysis indicated that neither sex nor smaller head sizes had a statistically significant impact on revision risk: males had an odds ratio (OR) of 1.2 (95% CI 0.21–6.9, p-value 0.84), and an increase in head diameter by 1 mm was associated with an OR of 1.0 (95% CI 0.81–1.23, p-value 0.99). CoC HRA demonstrates excellent survivorship at 5 years, irrespective of gender or implant size. This compares favourably to previously published outcomes for MoM HR, which typically report lower survivorship in female patients and smaller component sizes. Longer-term follow-up is required to confirm these outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".