Real-world treatment patterns, clinical outcomes, and health care resource utilization in advanced unresectable hepatocellular carcinoma
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: The incidence of advanced unresectable hepatocellular carcinoma (HCC) is increasing in developed countries and the prognosis of advanced HCC remains poor. Real-world evidence of treatment patterns and outcomes can highlight the unmet clinical need. METHODS: We conducted a retrospective population-based cohort study of advanced unresectable HCC patients diagnosed in Alberta, Canada (2008–2018) using electronic medical records and administrative claims data. A chart review was conducted on patients treated with systemic therapy to capture additional information related to treatment. RESULTS: A total of 1,297 advanced HCC patients were included of whom 555 (42.8%) were recurrent cases and the remainder were unresectable at diagnosis. Median age at diagnosis was 64 (range 21–94) years and 82.1% were men. Only 274 patients (21.1%) received first-line systemic therapy and of those, 32 patients (11.7%) initiated second-line therapy. Nearly all of the patients received sorafenib (>96.4%) in first-line, and these patients had considerably higher median survival (12.23 months; 95% CI 10.72–14.10) compared with patients not treated with systemic therapy (2.66 months; 95% CI: 2.33–3.12; log-rank p value <0.001). Among patients treated with systemic therapy, overall survival was higher for recurrent cases, patients with Child-Pugh A functional status, and patients with HCV or multiple known HCC risk factors ( p <0.05). CONCLUSIONS: In a Canadian real-world setting, patients who received systemic therapy had greater survival than those who did not, but outcomes were universally poor. These results underscore the need for effective front-line therapeutic options.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it