Spine Metastasis: Patients With Poor Performance Status (ECOG) Could benefit From Palliative Surgical Care! A Prospective Cohort Study
Bibliographic record
Abstract
STUDY DESIGN: This study used a French prospective national multi-center database of patients with spine metastasis (SpM). OBJECTIVE: The main challenge was to clarify if SpM patients presenting poor ECOG-PS could benefit from a surgical intervention. BACKGROUND: Spine metastases (SpM) are debilitating lesions commonly found in the evolution of cancer. At present, patients with poor ECOG-PS do not benefit from surgical care. MATERIALS AND METHODS: Between 2014 and 2017, 176 SpM patients with poor initial ECOG-PS (3 or 4) were identified. RESULTS: The median overall survival of patients was 2.1 months (SD 0.2). Seventy-one patients (40.3%) underwent surgery: for 49 patients (27.8%) the intervention consisted of a simple decompression and for 22 patients (12.5%) the previous was associated with an osteosynthesis. Patients who underwent surgery demonstrated significantly longer median overall survival than those who did not: 3.5 months (SD 0.4) versus 1.6 (SD 0.2) ( P <0.0001). No significant differences between operated/nonoperated patients were noted concerning median age (66.4 vs. 64.2 y, P =0.897), the median number of SpM (4.1 vs. 4.2, P =0.374), ECOG-PS 4 ratio (41.6 vs. 39.3%, P =0.616), or for primary tumors ( P =0.103). Patients who underwent surgery statistically improved their neurological impairment according to the Frankel score: 5/11 (45.4%) from A to C, 5/17 (29.4%) from B to C or D, 6/11 (54.5%) from C to D and 2/4 (50%). Twelve patients (16.9%) presented a postoperative complication. CONCLUSION: Patients with poor ECOG-PS could benefit from surgery. Even though survival gain is small, it permits the preservation of their neurological function. By making ambulation possible, pain is decreased during the last months of their lives.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".