Evidence map›Paper›PMID 42120075›Full record

ArticleClinical and molecular hepatology2026

Lack of association between rifaximin and drug-resistant infections: a global multicenter inpatient cirrhosis cohort.

Jasmohan S Bajaj, Patrick S Kamath, Florence Wong, Qing Xie, Ramazan Idilman, Mark Topazian, Wai-Kay Seto, Aldo Torre, Peter Hayes, Peter George and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical and molecular hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. 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

15 authors.

Jasmohan S BajajDepartment of Medicine, Virginia Commonwealth University and Richmond VA Medical Center, Richmond, USA. jasmohan.bajaj@vcuhealth.org.
Patrick S KamathDepartment of Medicine, Mayo Clinic School of Medicine, Rochesterc.
Florence WongDepartment of Medicine, University of Toronto, Toronto, Canada.
Qing XieDepartment of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
Ramazan IdilmanDepartment of Medicine, Ankara University, Ankara, Türkiye.
Mark TopazianDepartment of Medicine, St Paul Millenium Hospital, Addis Ababa, Ethiopia.
Wai-Kay SetoDepartment of Medicine, University of Hong Kong, Hong Kong, China.
Aldo TorreDepartment of Medicine, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Peter HayesDepartment of Medicine, University of Edinburgh, Edinburgh, United Kingdom.
Peter GeorgeDepartment of Medicine, Storr Liver Centre, Westmead Millennium Institute, Westmead Hospital and University of Sydney, Sydney, Australia.
Mario Alvares-da-SilvaDepartment of Medicine, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Brian J BushDepartment of Population Health, Virginia Commonwealth University and Richmond VA Medical Center, Richmond.
Scott SilveyDepartment of Population Health, Virginia Commonwealth University and Richmond VA Medical Center, Richmond.
Ashok ChoudhuryDepartment of Medicine, Institute for Liver and Biliary Sciences, New Delhi, India.
CLEARED Investigators

Funding

NIH HHS NCATS UM1TR004360VA Merit Review I01CX002472
6 · The paper itself

Abstract

BACKGROUND/

aimsInfections with drug-resistant organisms (DROs) are associated with poor outcomes in cirrhosis. Rifaximin, widely used for hepatic encephalopathy (HE), could promote cross-resistance, but data regarding clinical impact are conflicting. Aim: Determine predictors of DROs in a global cirrhosis inpatient cohort focusing on preadmission rifaximin use.

methodsFrom the global CLEARED consortium, we focused on cirrhosis inpatients with infections on/during admission. Clinical/demographic/medication, especially rifaximin details were recorded. The primary outcome was DRO development. Multivariable regression for DRO including clinical, medications, and country income was performed.

results2,949 infected inpatients (55.3 years, 62.9% male) were included. 12.2% of all and 24.4% of culture-positive infections developed DROs; these patients had higher HE (39 vs. 31%, P=0.003), hepatorenal syndrome (25 vs. 19%, P=0.006), lactulose (55 vs. 47%, P=0.008) and rifaximin use (34 vs. 27%, P=0.006) on crude comparisons but country-income distributions were similar. 29.7% were on pre-admission rifaximin, mostly HE-related; they had more advanced cirrhosis and from low/low-middle-income countries. Daptomycin was used in 1.5%, linked with DROs (5.0 vs. 1.0%, P<0.0001) without a difference in rifaximin use (1.4 vs.1.7%, P=0.61). On adjusted analysis, MELD-Na (1.03, 95% CI 1.02-1.04, P<0.001) increased, whereas male sex (0.73, 95% CI 0.58-0.92, P=0.008) and hepatitis-B (0.65, 95% CI 0.45-0.92, P=0.020) decreased DRO. Rifaximin was not associated with DROs overall (OR 1.07, 95% CI 0.80-1.43, P=0.65) or within income strata (high: 1.07, 95% CI 0.59-1.92, P=0.82, upper-middle: 1.18, 95% CI 0.74-1.85, P=0.49, low/low-middle: 1.04, 95% CI 0.60-1.81, P=0.90) despite sensitivity analyses.

conclusionsIn this large global cohort of hospitalized patients with cirrhosis and infections, 12% developed infections involving DROs. 30% had pre-admission rifaximin use which was not linked with daptomycin use or with DRO development on adjusted analysis overall or across country income groups.

Indexed as

Anti-Bacterial AgentsLiver CirrhosisRifaximinAgedCohort StudiesDrug Resistance, BacterialFemaleHepatic EncephalopathyHepatorenal SyndromeHumansInpatientsLactuloseMaleMiddle AgedRifamycinsAnti-Bacterial AgentsLactuloseRifamycinsRifaximinAntibiotic overuseCLEARED consortiumDaptomycinDisparitiesInfections

Identifiers

PMID42120075
PMCPMC13430401

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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.