Metastatic disease of the long bones: a review of the health care burden in a major trauma centre
Bibliographic record
Abstract
BACKGROUND: More than 140,000 new cases of cancer are diagnosed annually in Canada, nearly half of which metastasize to bone. The implications for orthopedic oncology services are potentially huge. We reviewed the experience in a major Canadian orthopedic trauma centre treating long bone metastases. The primary aim was to quantify the caseload, and the secondary aim was to report on the methods of fixation. METHODS: We conducted a retrospective review of all patients treated for pathologic lesions or fracture secondary to metastatic disease over a 20-year period from July 1987 to March 2007. RESULTS: The mean number of cases treated annually was 13. Most patients came from the local oncology centre. The median length of stay in hospital was 11 days. In-hospital mortality was 14%. The fatal pulmonary embolus rate was 5% for femoral lesions. The revision rate for the operative intervention was 3%. CONCLUSION: The caseload was much lower than anticipated, likely owing to under-referring from oncology services. The high mortality rate may reflect delay in seeking orthopedic opinion, but overall the fixation methods appeared durable.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".