20 Disparities in survival for patients with glioblastoma multiforme
Bibliographic record
Abstract
Background: Glioblastoma multiforme (GBM) is the most common malignant primary brain cancer in adults. Recent efforts have elucidated genetic features of tumor cells and thus enhanced our knowledge of GBM pathophysiology. The most recent clinical trials report median overall survival between 14 and 20 months. However, real-world outcomes are quite variable and there is a paucity of data within the literature. Methods: Three hundred seventy two GBM patients were diagnosed in the province of British Columbia between January 2013 and January 2015. We have performed a retrospective review on the survival outcomes of the 278 patients who underwent surgical resection as part of the initial treatment. Results: Our results indicate a median age of 61.8y at time of diagnosis with a slight preponderance of males. The median overall survival was 10 months for patients who underwent surgery. As expected, patients over the age of 65 and those with worse initial Karnofsy Performance Status (KPS) scores had a poorer prognosis. Moreover, we have found extent of resection (EOR), treatment strategies and treatment location affect overall survival. Conclusion: The present study highlights factors which affect patient survival after surgery in British Columbia. Our outcomes are slightly worse than survival reported in the US. Variability in pathologic classification and in treatment strategy likely contribute to this difference. Further efforts should ensure access to the gold-standard of care.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".