An update on BREAK-3, a phase III, randomized trial: Dabrafenib (DAB) versus dacarbazine (DTIC) in patients with BRAF V600E-positive mutation metastatic melanoma (MM).
Bibliographic record
Abstract
9013 Background: Dabrafenib is a selective BRAF inhibitor with demonstrated efficacy in BRAF V600E-positive mutation in MM. The primary analysis of BREAK-3 (NCT01227889) compared progression-free survival (PFS) in patients (pts) with BRAF V600E-positive mutation MM treated with dabrafenib or DTIC. Methods: Median PFS for dabrafenib of 5.1 months (mo) and study methods were previously described (Hauschild A, et al. Lancet. 2012,380:358–365). Independent review ended at the primary analysis. PFS was updated in Jun 2012 at median follow-up of 10.5 mo for dabrafenib (67% of PFS events), and 9.9 mo for DTIC. Median overall survival (OS) was not reached, so another analysis of OS and safety was performed with data as of Dec 2012, at which time the median follow-up was 15.2 (dabrafenib) and 12.7 (DTIC) mo. PFS of subjects who crossed over was also evaluated at that time. Results: PFS hazard ratio was 0.37 [95% CI; 0.23, 0.57]; median PFS was 6.9 mo dabrafenib and 2.7 mo DTIC. In Dec 2012, 36/63 DTIC pts crossed over; median PFS was 4.3 [95% CI; 4.1, 6.1] mos. OS is presented in the Table.The four most common adverse events (AE) on the dabrafenib arm were hyperkeratosis (39%), headache (35%), arthralgia (35%), and pyrexia (32%). Serious AEs ≥ 5% on the dabrafenib arm included cutaneous squamous cell carcinoma/keratoacanthoma (10%) and pyrexia (5%). Conclusions: Longer follow-up confirms the benefits of dabrafenib on PFS and response rate. Median OS in the dabrafenib arm was over 18 mo and over 15 mo in the DTIC arm. OS results are confounded by crossover of DTIC pts to dabrafenib and likely by subsequent therapy after progression. The effects of subsequent therapy results will be investigated. The safety profile had no significant changes. Clinical trial information: NCT01227889. [Table: see text]
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".