Evidence map›Paper›PMID 40755561›Full record

ArticleActa medica Philippina2025

Evaluating the Clinical Endpoint of Antibiotic Prophylaxis for Cirrhosis Patients Complicated with Upper Gastrointestinal Bleeding: An Updated Systematic Review and Meta-analysis.

Putu Itta Sandi Lesmana Dewi, Kadek Mercu Narapati Pamungkas, Ni Luh Putu Yunia Dewi, Ni Nyoman Gita Kharisma Dewi, Dwijo Anargha Sindhughosa, I Ketut Mariadi

Abstract read
In one paragraph

Article in Acta medica Philippina, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Putu Itta Sandi Lesmana DewiCentre Research for Alimentary and Hepatobiliary System, Bali, Indonesia.
Kadek Mercu Narapati PamungkasCentre Research for Alimentary and Hepatobiliary System, Bali, Indonesia.
Ni Luh Putu Yunia DewiCentre Research for Alimentary and Hepatobiliary System, Bali, Indonesia.
Ni Nyoman Gita Kharisma DewiCentre Research for Alimentary and Hepatobiliary System, Bali, Indonesia.
Dwijo Anargha SindhughosaCentre Research for Alimentary and Hepatobiliary System, Bali, Indonesia.
I Ketut MariadiCentre Research for Alimentary and Hepatobiliary System, Bali, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Antibiotic prophylaxis is used to prevent bacterial infections and rebleeding in cirrhosis patients with upper gastrointestinal bleeding (UGIB). However, the effects of various antibiotics on patients with UGIB are still being considered. This study aims to evaluate the effect of antibiotic prophylaxis on cirrhosis patients with UGIB. Methods: The studies were searched through databases of PubMed, ScienceDirect, Wiley Online Library, and CENTRAL from 2013 to 2023. We used Revman 5.4 to perform a meta-analysis. I2 statistics measured the heterogeneity test. The odds ratio (OR) and 95% confidence interval (CI) were used to assess the effect of antibiotic prophylaxis. Results: Twelve studies involving 14,825 cirrhosis patients were included in this study. Based on the meta-analysis, antibiotic prophylaxis significantly lowered the bacterial infection rate (OR: 0.29, 95%CI: 0.10 to 0.84, Conclusions: Administration of antibiotics demonstrated a significant reduction in bacterial infection rates and SAEs. Broad-spectrum non-absorbable antibiotics can be used in cirrhosis patients with UGIB. The appropriate use of antibiotics is important to prevent resistance.

Indexed as

antibioticcirrhosisprophylaxisvariceal bleeding

Identifiers

PMID40755561
PMCPMC12314439

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.