Liver Transplantation for Hepatocellular Carcinoma. Working Group Report from the ILTS Transplant Oncology Consensus Conference
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
Liver transplantation (LT) offers excellent long-term outcome for certain patients with hepatocellular carcinoma (HCC), with a push to not simply rely on tumor size and number. Selection criteria should also consider tumor biology (including alpha-fetoprotein), probability of waitlist and post-LT survival (ie, transplant benefit), organ availability, and waitlist composition. These criteria may be expanded for live donor LT (LDLT) compared to deceased donor LT though this should not adversely affect the double equipoise in LDLT, namely ensuring both acceptable recipient outcomes and donor safety. HCC patients with compensated liver disease and minimal tumor burden have low urgency for LT, especially after local-regional therapy with complete response, and do not appear to derive the same benefit from LT as other waitlist candidates. These guidelines were developed to assist in selecting appropriate HCC patients for both deceased donor LT and LDLT.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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