Decade-long Trends in Treatment, Healthcare Utilization, Travel Burden and Outcomes in Patients with Glioblastoma in Ontario
Bibliographic record
Abstract
Glioblastoma (GBM) is the most common malignant primary brain tumour in adults. Clinical trials have demonstrated the critical effect of adjuvant therapies on patient survival. Little is known about how changes in, and access to, standard of care has affected real-world outcomes. Using administrative databases, we conducted two retrospective population-based cohort studies of newly diagnosed GBM patients in Ontario (2010-2019). We describe the GBM population and evaluate the implications of new practice standards on outcomes. Further, we investigate travel time as a barrier to receipt of chemoradiation and the impact of the expansion of neuro-oncology care delivery on treatment and travel patterns. As the incidence of GBM rises, outcomes remain poor. Expansion of neuro-oncology care delivery resulted in changes in healthcare utilization patterns consistent with decreased travel burden without compromising care, suggested by increased delivery of chemoradiation. These findings will inform future decisions to improve neuro-oncology care delivery in Ontario.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".