Risk factors for periprosthetic femoral fractures following hip arthroplasty: a systematic review and meta-analysis
Bibliographic record
Abstract
INTRODUCTION: Periprosthetic femoral fracture (PPFF) is a serious complication following hip arthroplasty. The objective of this study was to determine the risk factors for PPFF following hip arthroplasty from existing studies. METHODS: A comprehensive systematic search was performed in 4 databases: Pubmed, Embase, Web of Science, and Cochrane Library. The last search was carried out on 26th July 2024. We focused on identifying risk factors for PPFF following hip arthroplasty. Study eligibility required PPFF as an outcome and reporting of associated risk factors. Quality assessment was performed using the Newcastle-Ottawa Scale (NOS), with evidence certainty evaluated via Grading of Recommendations, Assessment, Development, and Evaluations (GRADE). Meta-analyses employed both fixed-effect and random-effects models to pool odds ratios for identified risk factors. RESULTS: Out of 1553 articles, 36 studies published between 2006 and 2024 were included. Risk factors associated with increased incidence of PPFF ranges from very Low to High. High-quality evidence supported the use of uncemented stems (Odds Ratio [OR]: 3.36, 95% Confidence Interval [95% CI]: 3.02-3.74), major teaching hospital (OR: 2.04, 95% CI: 1.37-3.05). Moderate-quality evidence: female gender (OR: 1.60, 95% CI: 1.43-1.78), morbid obesity (OR: 1.44, 95% CI: 1.01-2.16), higher Deyo-Charlson index (OR: 1.44, 95% CI: 1.18-1.77), rheumatoid arthritis (OR: 1.89, 95% CI: 1.16-3.06), femoral Dorr type C (OR: 4.23, 95% CI: 2.82-6.33). Low evidence: age > 70 years (OR: 1.67, 95% CI: 1.19-2.34), revision hip arthroplasty (OR: 2.60, 95% CI: 1.59-4.27). BMI > 30 and history of hip surgery are not the risk (very low). Diagonized as osteoarthritis before surgery is a protective factor (OR:0.51, 95%CI: 0.40-0.65, quality = High). CONCLUSION: This meta-analysis provided some low-to-high evidence about the risk of PPFF following hip arthroplasty. It's recommended that clinicians consider these risk factors when evaluating patients for hip arthroplasty and take steps to mitigate their impact, like optimizing patients health preoperatively, using cemented stems, and monitoring high-risk patients closely.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.020 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".