The philosophy of total hip replacement revision at Mayo Clinic
Bibliographic record
Abstract
Background: Revision total hip arthroplasty (THA) rates are increasing, with instability, aseptic loosening, and infection identified as primary indications for surgery. Managing significant acetabular and femoral bone loss remains a complex challenge, requiring standardized classification systems to guide reconstruction strategies. Objective: This article reviews current surgical protocols and clinical outcomes for complex THA revisions, specifically focusing on the management of bone defects and periprosthetic fractures using techniques employed at the Mayo Clinic. Key Points: Preoperative evaluation must prioritize the exclusion of infection via inflammatory markers and joint aspiration. Acetabular reconstructions are categorized by the Paprosky classification; Type 3 defects often necessitate jumbo cups, porous tantalum augments, or custom triflange implants to achieve stability. In cases of pelvic discontinuity, tantalum cup-cage constructs or distraction techniques are utilized, showing high short-term survival despite risks of stress fractures or reduced bone stock. Femoral revisions utilize modular fluted tapered stems (TMFT) for Paprosky Type 3 and 4 defects, providing superior axial and longitudinal stability compared to cemented options. Extended lateral femoral osteotomy is frequently employed to facilitate component removal. Periprosthetic fractures are managed according to the Vancouver classification, with stable stems treated via internal fixation and loose stems requiring TMFT or proximal femoral replacement. Conclusion: Successful THA revision relies on meticulous preoperative planning and the selection of implants that ensure osseointegration and mechanical stability. The shift toward porous metal technology and modular femoral components has improved outcomes in cases of severe bone deficiency.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".