Time to first-line (1L) therapy discontinuation in metastatic melanoma (MM).
Bibliographic record
Abstract
196 Background: Nivolumab or pembrolizumab monotherapy (N/P) and dabrafenib+trametinib combination therapy (D+T) are currently the most commonly used regimens for the treatment of MM in anti-PD1 and BRAF inhibitor classes, respectively. We describe time to discontinuation of 1L therapy with N/P or D+T in patients (pts) with MM in a real-world setting. Methods: Adults with MM initiated on N/P or D+T in 1L were identified in Truven MarketScan databases (Q1/2014 - Q2/2016; n = 443). Outcomes included (a) distribution of time to 1L discontinuation among pts who discontinued 1L therapy during the study follow-up (reported by year of 1L start) and (b) rates of pts still on 1L therapy at different time points after 1L therapy start ("on treatment" rates) estimated from Kaplan-Meier analyses. Results: Of 443 pts, 243 (55%) were initiated on N/P and 200 (45%) on D+T. Pts initiated on D+T appeared to be younger, with more brain metastases, and higher use of emergency care in the 6 mo prior to 1L therapy start as compared to those initiated on N/P (Table). Time to 1L discontinuation and "on treatment" rates were similar between the treatment groups, with a tendency towards longer time to 1L discontinuation for D+T (Table). Conclusions: This real-world data study showed numerically longer time to 1L discontinuation for pts treated with D+T as compared to N/P, despite higher comorbidity burden. [Table: see text]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".