A prospective study of hip revision surgery using the Exeter long-stem prosthesis: function, subsidence, and complications for 57 patients
Bibliographic record
Abstract
BACKGROUND: The long-stem Exeter femoral component is commonly used in revision hip surgery. Subsidence of the femoral stem in primary hip arthroplasty has been studied extensively, but much less is known about its significance in revision surgery. This prospective study examined the relationship between radiological subsidence, Western Ontario and McMaster (WOMAC) osteoarthritis index pain score, patient satisfaction and complication rates for the long-stem Exeter hip prosthesis. MATERIALS AND METHODS: Data was prospectively collected for a single-surgeon series of 96 patients undergoing revision surgery with a mean follow-up period of 36 months. Pre- and post-operative clinical evaluation was carried out using the validated WOMAC osteoarthritis index. Radiographic evaluation was carried out on magnification-adjusted digital radiographic images. RESULTS: Data from 57 patients were analysed. The mean rate of subsidence recorded was 0.43 mm/year, with a mean total subsidence of 0.79 mm [95% confidence interval (CI) 0.57-1.01] at 36.3 months. There was no correlation between subsidence and post-operative WOMAC score, complication rate or patient satisfaction. There was a statistically significant reduction between pre-operative and post-operative WOMAC scores, with means of 33.5 and 10.7, respectively (P < 0.001), and high patient satisfaction. CONCLUSION: Our subsidence rates for long-stem revision femoral components are lower than the published data but demonstrate the same plateau. Radiographic subsidence does not appear to relate to functional outcome or complication rates in our data.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".