Adverse soft-tissue reactions around non-metal-on-metal total hip arthroplasty - a systematic review of the literature.
Bibliographic record
Abstract
UNLABELLED: Adverse local soft-tissue reactions have been associated with severe osteolysis and implant failure in metal-on-metal total hip arthroplasty (THA). Such a causal relationship has not often been associated with non metal-on-metal bearing surfaces. The purpose of this study was to assess the literature for cases of adverse soft-tissue reactions in non-metal-on-metal bearings in order to determine if a consistent histological diagnosis existed and if it was bearing-specific. METHODS: A systematic review was performed in Medline and Embase databases, utilizing keyword searches to target reports of soft tissue complications following THA. Strict exclusion criteria were applied to retrieved studies in order to ensure that analyzed papers involved non-metal-on-metal bearing surfaces, had a final histological diagnosis, and had no previous history of periprosthetic infection or neoplastic process. Presenting symptoms, diagnostic work-up, histological diagnosis, and operative treatment were recorded for all reports retained for analysis. RESULTS: Twenty-seven reports representing 31 cases of adverse soft-tissue reactions for non-metal-on-metal THAs met the criteria for analysis. In the majority of cases, patients presented with painful, limited motion in the affected hip, and radiological evidence of severe osteolysis. Histological examination often revealed a cystic mass, denoted by a granulomatous reaction comprised of histiocytes and giant cells, but few plasma cells. Revision of loose components was the most common successful therapeutic strategy utilized. CONCLUSION: The present analysis revealed that similar adverse soft-tissue reactions have been described for both metal-on-polyethylene and ceramic bearing surfaces. When encountering such reactions in patients, a comprehensive diagnostic workup, including computed tomography (CT) scanning, lesion biopsy, and revision planning to alternate bearing surfaces should be considered.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 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".