The 2024 ILTS-ILCA consensus recommendations for liver transplantation for HCC and intrahepatic cholangiocarcinoma
Bibliographic record
Abstract
Liver transplantation (LT) provides the best long-term survival outcomes for patients with liver cancer. As a result, the field of transplant oncology has grown greatly over the past few decades, and many centers have expanded their criteria to allow increased access to LT for liver malignancies. Center-level guidelines and practices in transplant oncology significantly vary across the world, leading to debate regarding the best course of treatment for this patient population. An international consensus conference was convened by the International Liver Transplantation Society and the International Liver Cancer Association on February 1-2, 2024, in Valencia, Spain to establish a more universal consensus regarding LT for oncologic indications. The conference followed the Delphi process, followed by an external expert review. Consensus statements were accepted regarding patient assessment and waitlisting criteria, pretransplant treatment (including immunotherapy) and downstaging, living donor LT, post-LT patient management, and patient- and caregiver-related outcomes. The multidisciplinary participants in the consensus conference provided up-to-date recommendations regarding the selection and management of patients with liver cancer being considered for LT. Although participants deferred to center protocols in many cases, there was great interest in safely expanding access to LT for patients with larger tumor burden and biologically amenable lesions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 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".