The safety and efficacy of dabrafenib plus trametinib for patients with brain metastatic melanoma: a systematic review and meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Brain metastases (BM) are common complications of metastatic cancer and typically occur in patients with melanoma. This study aims to investigate the dabrafenib plus trametinib for patients diagnosed with melanoma brain metastasis (MBM). METHOD: This review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). PubMed, Embase, Scopus, and Web of Science were searched until January 1, 2025. Data on the neurological progression-free survival (PFS), overall survival (OS), radiological response rate, whether intracranial and total, and adverse events were collected. Quality assessment of the studies was conducted using the Newcastle-Ottawa Scale (NOS). The STATA version 17.0. has been used for analysis of the outcomes. RESULTS: Eleven studies met the inclusion criteria. Our results showed pooled 6-month OS rate of 76% (95% CI [69-84%]), 1-year OS of 45% (95% CI [38-51%]), 6-month PFS rate of 46% (95% CI [40-52%]), 1-year PFS of 22% (95% CI [13-30%]), disease control rate (DCR) of 71% (95% CI [61-80%]), overall response rate (ORR) of 45% (95% CI [33-57%]), complete response rate (CRR) of 4% (95% CI [0-11%]), partial response rate (PRR) of 47% (95% CI [31-63%]), progressive disease rate (PDR) of 29% (95% CI [13-44%]), and stable disease rate (SDR) of 21% (95% CI [14-27%]). The pooled intracranial CRR, intracranial PRR, intracranial SDR, and intracranial PDR were 4% [95% CI: 1-8%], 42% [95% CI: 32-53%], 24% [95% CI: 18-31%], and 24% [95% CI: 13-34%], respectively. CONCLUSION: These findings underscore the effectiveness of dabrafenib plus trametinib in managing MBM, offering potential benefits in disease control and patient outcomes.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it