Predictors of Conversion Total Hip Arthroplasty After Surgically Managed Acetabulum Fractures
Bibliographic record
Abstract
BACKGROUND: Operative management of acetabular fractures can be complicated by the development of symptomatic post-traumatic arthritis, which may necessitate conversion total hip arthroplasty (THA). There is increased interest in treatment with THA for acute management, but optimal patient selection depends on identifying those at risk of later symptomatic post-traumatic arthritis requiring conversion THA. METHODS: We systematically reviewed prognostic factors associated with conversion THA in adult patients with operatively managed acetabulum fractures. We searched MEDLINE and EMBASE from inception to September 27, 2024. Screening, data extraction, risk of bias assessment, and evidence grading were completed in duplicate. Data were pooled using a random-effects model to produce summary odds ratios (ORs), hazard ratios (HRs), and mean differences, with 95% confidence intervals (CIs). Risk of bias was assessed using the Quality in Prognosis Studies tool. Certainty of evidence was evaluated using the Grade of Recommendation, Assessment, Development, and Evaluation framework. RESULTS: A total of 3,054 citations were screened, and 38 studies (6,931 fractures) met inclusion criteria. Eight factors were associated with conversion THA in unadjusted analyses: acetabular impaction (OR 2.08, 95% CI 1.60-2.70, moderate certainty), femoral head impaction (OR 2.70, 95% CI 1.80-4.06, moderate certainty), dislocation (OR 2.20, 95% CI 1.51-3.19, moderate certainty), nonanatomic reduction on radiography (OR 2.36, 95% CI 1.58-3.51, moderate certainty), nonanatomic reduction on computed tomography (OR 3.46, 95% CI 1.25-9.57, moderate certainty), associated fracture type (OR 1.76, 95% CI 1.29-2.41, moderate certainty), female sex (OR 1.48, 95% CI 1.15-1.88, moderate certainty), and posterior wall involvement (OR 1.82, 95% CI 1.18-2.80, moderate certainty). In multivariable analyses, age (adjusted OR 1.04, 95% CI 1.02-1.06, high certainty; adjusted HR 1.04, 95% CI 1.03-1.05, high certainty) and femoral head impaction (adjusted HR 3.19, 95% CI 1.16-8.75, moderate certainty) were associated with conversion THA. The weighted proportion of patients requiring THA conversion was 17.6% (95% CI 15.2%-20.4%, low certainty). CONCLUSION: Older age and femoral head impaction were the only factors associated with conversion to THA in univariable and multivariable analyses. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.007 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".