In a ‘Real-World’, Clinic-Based Community Setting, Sorafenib Dose of 400 mg/day is as Effective as Standard Dose of 800 mg/day in Patients with Advanced Hepatocellular Carcimona, with Better Tolerance and Similar Survival
Bibliographic record
Abstract
BACKGROUND: Sorafenib, an oral multityrosine kinase inhibitor, has been approved for treatment of unresectable hepatocellular carcinoma (HCC). British Columbia (BC) was the first province in Canada to provide drug coverage for sorafenib. OBJECTIVE: To review the BC experience with sorafenib to assess its effectiveness and tolerance in a 'real-world' clinical setting. METHODS: A retrospective clinic chart review identified 99 patients referred to the BC Cancer Agency from 2008 to 2010 with a diagnosis of HCC who qualified for treatment with sorafenib. RESULTS: Therapy with sorafenib was initiated and continued at a reduced dosage of 400 mg⁄day in 66 of 99 patients, with 22 patients requiring further dose reduction. Full- and reduced-dose group patients had similar baseline characteristics, except for a higher proportion of female patients (P=0.02) and individuals with alcoholic liver disease (P=0.04) in the full-dose group. The incidence of any grade of adverse effects was higher in the full-dose group (94% versus 77% in the reduced-dose group; P=0.04). Dose reduction rates were significantly higher in the full-dose group, occurring in 66% versus 24% of reduced-dose group patients (P=0.001). The overall survival rates were similar between the two groups: 7.8 months versus 7.1 months in full- versus reduced-dose groups (P=0.14), as were radiological progression rates and alpha-fetoprotein levels. CONCLUSIONS: In a review of 99 patients in a 'real-world' community setting, a sorafenib dose of 400 mg⁄day was better tolerated and had similar efficacy compared with a sorafenib dose of 800 mg⁄day with respect to survival and outcomes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".