Non-surgical management of advanced hepatocellular carcinoma: A systematic review by Cancer Care Ontario
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: Hepatocellular carcinoma (HCC) is a global health problem, accounting for 4.7% of all new cancer cases and 8.2% of all cancer deaths worldwide in 2018. Resection and transplantation are the only modalities that offer a cure for HCC; however, most patients are diagnosed at an advanced stage, precluding these curative treatments. A number of local (ie, ablative therapies) and/or local-regional therapies (ie, chemo-embolization) are used and followed by systemic therapy for advanced or progressive disease. Other treatments are available, but their efficacy compared with these standards is not well known. Methods: Literature searches (1/2000 to 1/2020 or 1/2005 to 1/2020, depending on the specific systematic review question) were conducted, including MEDLINE, Embase and the Cochrane Database of Systematic Reviews. Results: Over 30,000 articles were identified. In total, 49 studies were included in the systematic review. Conclusions: There is no evidence to support the addition of sorafenib to any local or regional therapy. First-line systemic therapy options for unresectable or metastatic HCC include sorafenib, lenvatinib, and atezolizumab + bevacizumab. Regorafenib or cabozantinib provide survival benefits when given as second-line treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it