Treatment algorithm in Vancouver B2 periprosthetic hip fractures: osteosynthesis vs revision arthroplasty
Bibliographic record
Abstract
There is currently a debate on whether all Vancouver B2 periprosthetic hip fractures should be revised. The aim of our work was to establish a decision-making algorithm that helps to decide whether open reduction and internal fixation (ORIF) or revision arthroplasty (RA) should be performed in these patients. Relative indications in favour of ORIF are low-medium functional demand (Parker mobility score (PMS) <5), high anaesthetic risk (American Society of Anesthesiologists score (ASA) ≥ 3), many comorbidities (Charlson Comorbidity Index (CCI) ≥ 5), 1 zone fractured (VB2.1), anatomical reconstruction possible, and no prior loosening (hip pain). Relative indications in favour of RA are high functional demand (PMS ≥6), low anaesthetic risk (ASA< 3), few comorbidities (CCI<5), fracture ≥ 2 zones (VB2.2), comminuted fractures, and prior loosening (hip pain). In cemented stems, those fractures with fully intact cement-bone interface, no stem subsidence into the cementraliser, cement mantle anatomically reducible, and some partial stem-cement attachment can be safely treated with ORIF.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".