What’s new in the critical care management of acute liver failure: a focus on global accessibility
Bibliographic record
Abstract
INTRODUCTION: Acute liver failure (ALF) is a rare syndrome characterized by acute severe liver dysfunction and hepatic encephalopathy. The etiology of ALF varies according to age and geographical distribution and hence management depends on the etiology and clinical condition. AREAS COVERED: While high-income-countries (HIC) most often see acetaminophen (APAP) and drug-induced liver injury (DILI) as causes of ALF, low-middle-income countries (LMIC) face a higher burden of viral hepatitis (particularly hepatitis A and E virus) and herbal/traditional/toxin medicine-related ALF transplant-free survival from ALF continues to improve with corresponding reduced rates of intracranial hypertension and cerebral edema particularly in APAP-ALF. EXPERT OPINION: In this review, we will provide an update on the epidemiology and management of ALF with a particular focus on the differences in worldwide populations.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".