2010 Society for Neuro-Oncology Annual Meeting: a report of selected studies
Bibliographic record
Abstract
A number of important studies were presented at the Society for Neuro-Oncology annual meeting in Montréal, Canada, on 18-21 November 2010. Cediranib as monotherapy or in combination with lomustine did not show increased efficacy when compared with lomustine alone in patients with recurrent glioblastoma (GBM). Addition of temozolomide (TMZ) or irinotecan (CPT) to bevacizumab (BEV) in patients with recurrent GBM was well tolerated, with similar efficacy to BEV alone. The addition of BEV to radiation and TMZ in newly diagnosed GBM improved progression-free survival but did not improve overall survival. TMZ alone may be a reasonable approach in elderly GBM patients with poor performance status. Two Phase II trials with sunitinib and vatalanib showed a hint of activity in patients with recurrent or progressive meningiomas.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.012 | 0.019 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".