WGO Guidance for the Care of Patients With COVID-19 and Liver Disease
Bibliographic record
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the least deadly but most infectious coronavirus strain transmitted from wild animals. It may affect many organ systems. Aim of the current guideline is to delineate the effects of SARS-CoV-2 on the liver. Asymptomatic aminotransferase elevations are common in coronavirus disease 2019 (COVID-19) disease. Its pathogenesis may be multifactorial. It may involve primary liver injury and indirect effects such as "bystander hepatitis," myositis, toxic liver injury, hypoxia, and preexisting liver disease. Higher aminotransferase elevations, lower albumin, and platelets have been reported in severe compared with mild COVID-19. Despite the dominance of respiratory disease, acute on chronic liver disease/acute hepatic decompensation have been reported in patients with COVID-19 and preexisting liver disease, in particular cirrhosis. Metabolic dysfunction-associated fatty liver disease (MAFLD) has a higher risk of respiratory disease progression than those without MAFLD. Alcohol-associated liver disease may be severely affected by COVID-19-such patients frequently have comorbidities including metabolic syndrome and smoking-induced chronic lung disease. World Gastroenterology Organization (WGO) recommends that interventional procedures such as endoscopy and endoscopic retrograde cholangiopancreatography should be performed in emergency cases or when they are considered strictly necessary such as high risk varices or cholangitis. Hepatocellular cancer surveillance may be postponed by 2 to 3 months. A short delay in treatment initiation and non-surgical approaches should be considered. Liver transplantation should be restricted to patients with high MELD scores, acute liver failure and hepatocellular cancer within Milan criteria. Donors and recipients should be tested for SARS-CoV-2 and if found positive donors should be excluded and liver transplantation postponed until recovery from infection.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.049 | 0.026 |
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".