Comparative analysis of medical costs after hepatectomy versus radiofrequency ablation in patients with hepatocellular carcinoma in real‐world clinical practice
Bibliographic record
Abstract
AIM: To compare the total medical costs and treatment outcomes in patients with primary hepatocellular carcinoma (HCC) according to their initial treatment, that is, hepatectomy or radiofrequency ablation (RFA), in real-world clinical practice in Japan. METHODS: This retrospective observational study was conducted using a medical claims database. Patients who underwent hepatectomy or RFA for primary HCC were matched using propensity score matching methods for available baseline characteristics. The average per-patient total medical costs from the date of initial treatment to up to 3 years were estimated. The 3-year survival and recurrence rates were estimated using the Kaplan-Meier method. RESULTS: Data of 1726 patients (863 in each group) were analyzed. The average 3-year medical costs were USD 8000 lower in the RFA group than in the hepatectomy group (USD 35,000 vs. USD 43,000). Patients in the RFA group had comparable 3-year overall survival to those in the hepatectomy group (87.6% vs. 90.4%). However, the 3-year recurrence rate was significantly higher in the RFA group than in the hepatectomy group (41.5% vs. 30.8%; hazard ratio = 1.56, 95% confidence interval: 1.31-1.87). CONCLUSIONS: In this 3-year study, patients achieved similar survival rates irrespective of initial treatment, but the RFA group had a lower total medical cost burden than the hepatectomy group. If both treatments are equally feasible, RFA may be a preferable initial curative treatment for primary HCC. However, careful consideration and adequate treatment should be given due to its higher recurrence risk.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".