Liver Transplantation for Acute‐on‐Chronic Liver Failure: Science or Fiction?
Bibliographic record
Abstract
Acute clinical deterioration of a patient with chronic liver disease remains a decisive time point both in terms of medical management and prognosis. This condition, also known as acute decompensation (AD), is an important event determining a crossroad in the trajectory of patients. A significant number of patients with AD may develop hepatic or extrahepatic organ failure, or both, which defines the syndrome acute-on-chronic liver failure (ACLF), and ACLF is associated with a high morbidity and short-term mortality. ACLF may occur at any phase during chronic liver disease and is pathogenetically defined by systemic inflammation and immune metabolic dysfunction. When organ failures develop in the presence of cirrhosis, especially extrahepatic organ failures, liver transplantation (LT) may be the only curative treatment. This review outlines the evidence supporting LT in ACLF patients, highlighting the role of timing, bridging to LT, and possible indicators of futility. Importantly, prospective studies on ACLF and transplantation are urgently needed.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".