Treatment Costs for Glioblastoma Multiforme in Nova Scotia
Bibliographic record
Abstract
BACKGROUND: Glioblastoma Multiforme (GBM) is the most common and malignant brain tumor in adults. The median survival in patients harboring this neoplasm is 12 months irrespective of any form of therapy. Health care costs of illnesses with high mortality rates, such as GBM, are of particular interest in times of constrained health care resources. No information regarding costs for the treatment of patients with GBM is available in Canada. The aim of this study was to conduct an analysis of the costs of treatment of GBM in Nova Scotia. METHODS: Patients with histologically proven GBM during a three year period (1996-1998) in Nova Scotia were included in the study. Analysis was based on hospital costs supplemented by data on additional medical services received following discharge for the primary intervention. RESULTS: The mean cost of medical care per patient from the time of diagnosis to death was $17,149. The highest costs were related to hospitalization with ward costs alone accounting for 48% of all costs. Radiotherapy costs were 25%, surgery costs were 16% and chemotherapy costs were 7% of all costs. Costs for diagnostic procedures were 6% of the total costs. CONCLUSION: Our data reflect the costs and practice pattern in the treatment of GBM in Nova Scotia and may be of value as an initial attempt to analyze costs of treatment of GBM in Canada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".