Cost-Utility Analysis of Transarterial Radioembolization With Yttrium-90 Resin Microspheres Compared With Sorafenib in Locally Advanced and Inoperable Hepatocellular Carcinoma
Bibliographic record
Abstract
PURPOSE: The SARAH (Sorafenib Versus Radioembolization in Advanced Hepatocellular Carcinoma) trial (ClinicalTrials.gov Identifier NCT01482442) did not show a significant survival benefit for patients treated with transarterial radioembolization (TARE) compared with continuous oral sorafenib. The improved toxicity profile of patients treated with TARE in the trial, however, could result in a quality of life benefit in economic evaluations. Our objective was to perform a cost-utility analysis of TARE versus sorafenib for locally advanced and inoperable hepatocellular carcinoma. METHODS: This study used patient-level data of the SARAH trial regarding resource use, progression-free and overall survival, and quality of life for the within-trial period for the patients who received at least 1 dose of sorafenib or 1 treatment with TARE according to their randomization arm. Data were extrapolated by using a partitioned survival model that incorporated costs and health outcomes, measured in life-years and quality-adjusted life-years (QALYs). FINDINGS: The use of TARE resulted in an average loss of 0.036 life-year and a gain of 0.006 QALY compared with sorafenib. The aerage cost for the TARE arm was €17,179 (95% CI, 9,926-24,280) higher than the sorafenib arm, for an incremental cost-effectiveness ratio of €3,153,086/QALY. The probabilistic sensitivity analysis revealed a 50% risk that the TARE strategy was dominated. TARE was consistently dominated by sorafenib or had an incremental cost-effectiveness ratio more than €450,000/QALY in all sensitivity analyses. IMPLICATIONS: This economic evaluation of SARAH found that using radioembolization with yttrium-90 microspheres for the treatment of hepatocellular carcinoma was not a cost-effective option at the usually accepted willingness-to-pay thresholds.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".