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Prophylactic Antibiotics for Upper Gastrointestinal Bleeding in Patients With Cirrhosis

2025· review· en· W4413101751 on OpenAlexaff
Connor Prosty, Dean Noutsios, Laurie-Rose Dubé, Rachel Baden, Kusha Davar, Sarah Freling, Taft Bhuket, Hal F. Yee, Brad Spellberg, Emily G. McDonald, Todd C. Lee

Bibliographic record

VenueJAMA Internal Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsMedicineCirrhosisObservational studyAntibioticsUpper gastrointestinal bleedingRandomized controlled trialInternal medicineGastrointestinal bleedingCochrane LibraryMEDLINESubgroup analysisRelative riskMeta-analysisConfidence intervalEndoscopy

Abstract

fetched live from OpenAlex

Importance: International guidelines recommend 5 to 7 days of antibiotic prophylaxis for patients with cirrhosis and upper gastrointestinal bleeding. However, the evidence for this recommendation has not been reassessed recently. Objective: To determine whether current evidence continues to support the recommended 5 to 7 days of antibiotic prophylaxis in patients with cirrhosis and upper gastrointestinal bleeding. Data Sources: Searches were performed of the Embase, MEDLINE, and CENTRAL databases for randomized clinical trials (RCTs) from inception to September 25, 2024. The search query included the keywords gastrointestinal bleeding and prophylactic antibiotics. Study Selection: Included RCTs compared longer durations of antibiotic prophylaxis to shorter durations (or 0 days) in patients with cirrhosis and upper gastrointestinal bleeding. Observational and pediatric studies, gray literature, comparisons of systemic antibiotics, studies not reporting mortality or early rebleed, and studies of nonsystemic antibiotics were excluded. Data Extraction and Synthesis: Data were extracted in duplicate by independent reviewers. Study quality was assessed in duplicate using the Cochrane Risk of Bias 2 tool. Data were pooled by random-effects bayesian meta-analyses using a noninformative prior for the effect and a weakly informative prior for heterogeneity. To account for therapeutic advancements, a post hoc subgroup analysis was performed for studies published after 2004. Main Outcomes and Measures: The primary outcome was all-cause mortality with a prespecified 5% noninferiority margin on the risk difference (RD) scale. Early rebleed and bacterial infections were secondary outcomes. Results: The analysis included 14 RCTs totaling 1322 participants (mean age range, 41.5 to 62.0 years; 981 male [74.2%] individuals), of whom 1202 (90.9%) had a variceal source of bleeding. Study quality was low to moderate, bacterial infections were heterogeneously defined, and no studies reported adverse events. Two RCTs compared longer (5-7 days) to shorter (2-3 days) durations and 12 RCTs compared any prophylaxis (1-10 days) to none. Shorter durations (including none) had a 97.3% probability of noninferiority for all-cause mortality (RD, 0.9%; 95% credible interval [95% CrI], -2.6 to 4.9). Shorter durations had a 73.8% probability of noninferiority for early rebleeding (RD, 2.9%; 95% CrI, -4.2 to 10.0) but were associated with more study-defined bacterial infections (RD, 15.2%; 95% CrI, 5.0 to 25.9). The probabilities of noninferiority of shorter durations for all 3 outcomes were higher in studies published after 2004. Conclusions and Relevance: The findings of this systematic review and bayesian meta-analysis do not support the purported mortality benefit driving guideline recommendations for antibiotic prophylaxis in patients with cirrhosis and upper gastrointestinal bleeds. Although prophylaxis reduced reported infections, methodological concerns regarding infection definitions introduced high risk of bias. Higher-quality RCTs are needed to determine the benefit and optimal duration of antibiotic prophylaxis in the modern era of advanced interventions. Until these studies are available, clinicians should be aware that the current guideline recommendations are not based on high-quality evidence.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.577
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.310
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations11
Published2025
Admission routes1
Has abstractyes

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