A.6 INDIGO: a global, randomized, double-blinded, Phase 3 study of vorasidenib versus placebo in patients with grade 2 glioma with an IDH1/2 mutation (mIDH1/2)
Bibliographic record
Abstract
Background: We evaluated vorasidenib (VOR), a dual inhibitor of mIDH1/2, in patients with mIDH1/2 glioma (Phase 3; NCT04164901). Methods: Patients with residual/recurrent grade 2 mIDH1/2 oligodendroglioma or astrocytoma were enrolled (age ≥12; Karnofsky Performance Score ≥80; measurable non-enhancing disease; surgery as only prior treatment; not in immediate need of chemoradiotherapy). Patients were stratified by 1p19q status and baseline tumor size and randomized 1:1 to VOR 40 mg or placebo (PBO) daily in 28-day cycles. Endpoints included imaging-based progression-free survival (PFS), time to next intervention (TTNI), tumor growth rate (TGR), health-related quality of life (HRQoL), neurocognition and seizure activity. Results: 331 patients were randomized (VOR, 168; PBO, 163). The median age was 40.0 years. 172 and 159 patients had histologically confirmed oligodendroglioma and astrocytoma, respectively. Treatment with VOR significantly improved PFS and TTNI. Median PFS: VOR, 27.7 mos; PBO, 11.1 mos ( P =0.000000067). Median TTNI: VOR, not reached; PBO, 17.8 mos ( P =0.000000019). Treatment with VOR resulted in shrinkage of tumor volume. Post-treatment TGR: VOR, -2.5% (95% CI: -4.7, -0.2); PBO, 13.9% (95% CI: 11.1, 16.8). HRQoL and neurocognition were preserved and seizure control was maintained. VOR had a manageable safety profile. Conclusions: VOR was effective in mIDH1/2 diffuse glioma not in immediate need of chemoradiotherapy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".