Chondrosarcomas of the Spine: Prognostic Variables for Local Recurrence and Mortality in a Multicenter Study
Bibliographic record
Abstract
Introduction Primary spinal chondrosarcomas are rare. Best available evidence consists of small case series, making it difficult to determine optimal management and risk factors for local recurrence and mortality. The application of the Enneking classification in the treatment of primary bone tumors in the appendicular skeleton has led to a longer life expectancy, yet the application of the Enneking system in the treatment of primary bone tumors in the spine has not been widely accepted. Therefore, the aim of this multicenter cohort study was to determine prognostic variables, including application of the Enneking classification, for local recurrence and mortality following surgical intervention for spinal chondrosarcomas. Patients and Methods AOSpine knowledge forum tumor developed a multicenter ambispective database of surgically treated patients with spinal chondrosarcoma. Patient data pertaining to demographics, diagnosis, treatment, cross-sectional survival, and local recurrence were collected. Tumors were classified according to the Enneking classification. Patients were analyzed in the following two different cohorts; Enneking appropriate (EA) and Enneking inappropriate (EI). EA was defined by the final pathology margin matching the Enneking recommended surgical margin and EI by not matching. Results Between 1987 and 2011, 112 patients (mean age at surgery = 47 ± 16 years) underwent surgical treatment for a primary spinal chondrosarcoma. EA surgery was performed in 61 (58%) patients. Overall, 15 patients (25%) suffered a local recurrence in the EA group and 21 (48%) in the EI group. EI approach significantly increased the risk for local recurrence ( p = 0.009). Overall, 38 (34%) patients died during the study period (mean follow-up = 3.6 ± 3.2 years); factors associated with increased overall survival were absence of adjuvant therapy ( p = 0.002), low-grade tumors ( p = 0.051), and involvement of one or two vertebral levels ( p = 0.038). Enneking appropriateness and surgical margin was not significantly associated with survival. Local recurrence was strongly related to mortality, with an odds ratio of 7.4. Conclusion This is the largest multicenter cohort of spinal chondrosarcomas. EI surgical management correlated with increased rates of local recurrence. This robust correlation strongly mandates to surgeons perform an EA resection with disease-free margins for spinal chondrosarcomas.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".