ATIM-12. AVELUMAB IN NEWLY DIAGNOSED GLIOBLASTOMA MULTIFORME-THE SEJ STUDY
Bibliographic record
Abstract
Abstract INTRODUCTION Glioblastoma Multiforme (GBM) has well documented systemic and local immunosuppressive mechanisms to escape immune surveillance. GBM tumor cells as well as the microglia within it have a high PD-L1 surface expression which may make it susceptible to anti-PD-L1 antagonism and ADCC with avelumab therapy. Combining immunotherapy to other chemotherapeutic agents have proven benefical in certain cancers. A clinical trial looking at adding avelumab to standard therapy in patients with newly diagnosed GBM is indicated. METHODS This is a single center, phase 2, open label study of avelumab 10 mg/kg Q2W for 156 weeks duration in patients receiving standard therapy for newly diagnosed GBM. Thirty patients will be entered into the study within 3 weeks of completing combined radiotherapy/temozolomide. Here we will report the results our second interim analysis when the first 20 patients will have completed 52 weeks or an end of study event which will occur in 10–2019. RESULTS The results will be presented at the meeting
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".