Long-Term Survival of Patients with Unresectable Hepatocellular Carcinoma Treated with Lenvatinib in Real-World Clinical Practice
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: The real-world survival of patients with unresectable hepatocellular carcinoma (uHCC) treated with lenvatinib has been explored retrospectively with a small sample size. We conducted a prospective observational 2-year extension study (510 study) of a 1-year observational post-marketing study of lenvatinib (504 study) to evaluate the long-term overall survival (OS) of patients with uHCC treated with lenvatinib and associated factors with a large sample size. METHODS: Patients with uHCC included (July 2018 to January 2019) in the 504 study and who consented were eligible for the 510 study and were followed for up to 3 years after lenvatinib treatment initiation. Using the data from the 504 study and 510 study of the 504 study analysis set, we estimated the OS, the time from the first lenvatinib dose to all-cause death by the Kaplan-Meier method (ClinicalTrials.Gov Registration ID, 504 study: NCT03663114; 510 study: NCT04008082). RESULTS: < 0.05) associated with bile duct invasion (hazard ratio [HR]: 1.621), portal vein invasion (HR: 1.365), ≥ 4 intrahepatic lesions (HR: 1.437), extrahepatic lesions (HR: 1.357), Child-Pugh B/C (HR: 1.515), mALBI Grade 2a (HR: 1.331), and Grade ≥ 2b (HR: 1.811). CONCLUSIONS: This large-scale, prospective, real-world study demonstrated a long OS, comparable to that reported in the global Phase III REFLECT trial. More advanced-stage tumors and worse hepatic function have been suggested as OS-associated factors, consistent with previous reports.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".