Beta‐blockers in patients with advanced liver disease: Has the dust settled?
Bibliographic record
Abstract
Nonselective beta-blockers (NSBBs) have been the backbone for the treatment of portal hypertension in cirrhosis for the last 3 decades. A publication in 2010 of a prospective observational study suggested that NSBBs could increase mortality in patients with refractory ascites. This opened a controversy about the safety and efficacy of NSBBs in patients with advanced liver disease and led to the publication of a large corpus of observational data assessing the safety of NSBBs in patients with advanced cirrhosis. In this article, we briefly review the clinical pharmacology of NSBBs, the pathophysiological basis for the underlying benefits and harms of NSBBs in advanced cirrhosis, and the evidence in favor and against the use of NSBBs in specific scenarios. Finally, we summarize the current recommendations and propose areas of opportunity for future research. Liver Transplantation 23 1058-1069 2017 AASLD.
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 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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 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".