Treatment of Metastatic Spinal Cord Compression: cepo Review and Clinical Recommendations
Bibliographic record
Abstract
BACKGROUND: Metastatic spinal cord compression (mscc) is an oncologic emergency that, unless diagnosed early and treated appropriately, can lead to permanent neurologic impairment. After an analysis of relevant studies evaluating the effectiveness of various treatment modalities, the Comité de l'évolution des pratiques en oncologie (cepo) made recommendations on mscc management. METHOD: A review of the scientific literature published up to February 2011 considered only phase ii and iii trials that included assessment of neurologic function. A total of 26 studies were identified. RECOMMENDATIONS: Considering the evidence available to date, cepo recommends that cancer patients with mscc be treated by a specialized multidisciplinary team.dexamethasone 16 mg daily be administered to symptomatic patients as soon as mscc is diagnosed or suspected.high-loading-dose corticosteroids be avoided.histopathologic diagnosis and scores from scales evaluating prognosis and spinal instability be considered before treatment.corticosteroids and chemotherapy with radiotherapy be offered to patients with spinal cord compression caused by myeloma, lymphoma, or germ cell tumour without sign of spinal instability or compression by bone fragment.short-course radiotherapy be administered to patients with spinal cord compression and short life expectancy.long-course radiotherapy be administered to patients with inoperable spinal cord compression and good life expectancy.decompressive surgery followed by long-course radiotherapy be offered to appropriate symptomatic mscc patients (including spinal instability, displacement of vertebral fragment); andpatients considered for surgery have a life expectancy of at least 3-6 months.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".