The functional and financial impact of isolated and recurrent dislocation after total hip arthroplasty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aims of this study were to determine the functional impact and financial burden of isolated and recurrent dislocation after total hip arthroplasty (THA). Our secondary goal was to determine whether there was a difference between patients who were treated non-operatively and those who were treated operatively. We retrospectively reviewed 71 patients who had suffered dislocation of a primary THA. Their mean age was 67 years (41 to 92) and the mean follow-up was 3.8 years (2.1 to 8.2). Because patients with recurrent dislocation were three times more likely to undergo operative treatment (p < 0.0001), they ultimately had a significantly higher mean Harris Hip Score (HHS) (p = 0.0001), lower mean Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores (p = 0.001) and a higher mean SF-12 score (p < 0.0001) than patients with a single dislocation. Likewise, those who underwent operative treatment had a higher mean HHS (p < 0.0001), lower mean WOMAC score (p < 0.0001) and a higher mean SF-12 score (p < 0.0001) than those who were treated non-operatively. Recurrent dislocation and operative treatment increased costs by 300% (£11 456; p < 0.0001) and 40% (£5217; p < 0.0001), respectively. The operative treatment of recurrent dislocation results in significantly better function than non-operative management. Moreover, the increase in costs for operative treatment is modest compared with that of non-operative measures.
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.
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 | 0.000 |
| 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) | 0.000 | 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 it