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Record W2109327526 · doi:10.1111/apt.12433

Commentary: non-haemodynamic effects of beta-blockers in cirrhosis - more than meets the eye?

2013· letter· en· W2109327526 on OpenAlexaff
Sharad Sharma, Jordan J. Feld

Bibliographic record

VenueAlimentary Pharmacology & Therapeutics · 2013
Typeletter
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsToronto Liver CentreUniversity of Toronto
Fundersnot available
KeywordsPropensity score matchingMedicineCirrhosisInternal medicineProspective cohort studyConfoundingRetrospective cohort studyCohort studyAscitesCohortHemodynamics

Abstract

fetched live from OpenAlex

In addition to their benefit for prevention of variceal bleeding, recent evidence points to non-haemodynamic effects of nonselective beta-blockers (NSBBs) in decreasing intestinal permeability to microbes1 and thus reducing the risk of infection. However, clinical studies have shown mixed results. A meta-analysis including three RCTs showed a significant decrease in risk of SBP in patients on NSBBs;2 however, a prospective cohort study of patients with refractory ascites showed increased mortality in patients on NSBBs.3 Bajaj and colleagues4 address this controversy in a large retrospective cohort study of veterans with cirrhosis. Propensity score matching was used to compare patients on beta-blockers with controls. This powerful technique allows patients to be matched on a number of important variables to isolate the effect of NSBB therapy and in effect, model a randomised study. Despite an apparently lower rate of infections in compensated and decompensated cirrhotics using NSBBs, no difference was found once patients were matched on propensity score. The time to death or transplant was significantly shorter in patients on NSBB; however, propensity matching was not performed for this outcome. The major strengths of this study are the large number of patients and the use of propensity scores to ensure that comparisons were made between patients with similar characteristics. However, this methodology is not foolproof. It is unclear, for example, why patients with high propensity scores for NSBB use were not on NSBB therapy. This may be an important confounder. For example, patients in this group may have had poor follow-up or had EVL (endoscopic variceal ligation) instead, either of which may have affected the outcomes. In addition, the study only looked at in-hospital infections and could not account for patients who stopped NSBBs due to intolerance. Ultimately, this study suggests that NSBBs have minimal effect on the rate of infections and an unclear effect on mortality. An RCT would be required to answer the question definitively, but is unlikely to be deemed ethical due to the proven efficacy of NSBBs in variceal haemorrhage prophylaxis. Follow-up of previous randomised trials of NSBBs vs. EVL may be useful to assess the risk of infection with these therapies but would like be underpowered to definitively answer this question. Thus, although these data reassure and support the continued use of NSBB in patients with varices, some looming uncertainty remains. Declaration of personal and funding interests: None.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.048
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.052
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0030.005
Open science0.0070.001
Research integrity0.0480.032
Insufficient payload (model declined to judge)0.0220.012

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.

Opus teacher head0.012
GPT teacher head0.297
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations1
Published2013
Admission routes1
Has abstractyes

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