Tumor response based on adapted Macdonald criteria and assessment of pseudoprogression (PsPD) in the phase III AVAglio trial of bevacizumab (Bv) plus temozolomide (T) plus radiotherapy (RT) in newly diagnosed glioblastoma (GBM).
Bibliographic record
Abstract
2002^ Background: Until recently the primary criteria for assessing response to GBM therapy were those by Macdonald et al. (JCO 1990;8:1277–80). Advances in imaging technology/targeted therapies exposed limitations, addressed in 2010 by Response Assessment in Neuro-Oncology Working Group. Prior to this, the AVAglio study similarly adapted Macdonald criteria to address anti-angiogenic therapy/corticosteroid use by incorporating non-contrast-enhancing components and integrating a strict algorithm to standardize assessment of possible PsPD. Methods: Randomisedpts (n=921) received: T/RT + Bv or placebo (P), 6 wks; 28-d break; maintenance T + Bv or P (6 cycles); monotherapy Bv or P until PD/unacceptable toxicity. Tumor response was investigator (inv)-assessed by MRI (adapted Macdonald criteria) at baseline (BL), end of break, every 2nd maintenance cycle, every 9 wks during monotherapy, at PD and 9 wks post-PD. PsPD was inv-assessed at the end of the break. A ≥25% increase in index lesions and/or unequivocal progression of existing non-index lesions relative to BL and in the absence of clinical deterioration was assessed as PsPD. Confirmatory PsPD assessment: end of the 2nd maintenance cycle. If progression was confirmed, PsPD was retrospectively designated as PD. If PsPD was confirmed, pts remained on treatment and the 1st post-RT MRI was used as a new BL. Best ORR was evaluated in pts with lesions at BL, excluding pts with confirmed PsPD. Results: Co-primary endpoint of inv-assessed PFS was longer for pts receiving Bv+RT/T compared with P+RT/T (HR 0.64, 95% CI 0.55–0.74; p<0.0001). Best ORR and PsPD are shown (Table). Conclusions: Addition of Bv to 1st-line T/RT significantly improves ORR. The rate of confirmed PsPD was low in both arms. Clinical trial information: NCT00943826. [Table: see text]
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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 | 0.005 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".