Evidence map›Paper›PMID 42325263›Full record

ReviewiScience2026

Use of hollow fiber systems to model treatment of infections: A practical guide.

Jelmer Raaijmakers, Fernando Sanz-García, Zahra Sadouki, Diana A Aguilar-Ayala, Andrew Mead, John B Readman, Timothy D McHugh, L Pelligand, Joseph F Standing, Santiago Ramón-García and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in iScience, 2026. 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. Frontiers in microbiology · 2026
    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

14 authors.

Jelmer RaaijmakersRadboud Centre for Infectious Diseases, Department of Medical Microbiology, Radboud University Medical Centre, Nijmegen, the Netherlands.
Fernando Sanz-GarcíaDepartment of Microbiology, Paediatrics, Radiology and Public Health, Faculty of Medicine, University of Zaragoza, Zaragoza, Spain.
Zahra SadoukiUCL Centre for Clinical Microbiology, Division of Infection & Immunity, University College London, London, UK.
Diana A Aguilar-AyalaDepartment of Microbiology, Paediatrics, Radiology and Public Health, Faculty of Medicine, University of Zaragoza, Zaragoza, Spain.
Andrew MeadDepartment of Pathobiology and Population Sciences, APPRAISE Lab, The Royal Veterinary College, London, UK.
John B ReadmanInfection, Immunity and Inflammation Department, Great Ormond Street Institute of Child Health, University College London, London, UK.
Timothy D McHughUCL Centre for Clinical Microbiology, Division of Infection & Immunity, University College London, London, UK.
L PelligandDepartment of Pathobiology and Population Sciences, APPRAISE Lab, The Royal Veterinary College, London, UK.
Joseph F StandingInfection, Immunity and Inflammation Department, Great Ormond Street Institute of Child Health, University College London, London, UK.
Santiago Ramón-GarcíaDepartment of Microbiology, Paediatrics, Radiology and Public Health, Faculty of Medicine, University of Zaragoza, Zaragoza, Spain.
Jakko van IngenRadboud Centre for Infectious Diseases, Department of Medical Microbiology, Radboud University Medical Centre, Nijmegen, the Netherlands.
Frank KloproggeInstitute for Global Health, University College London, London, UK.
Ainhoa LucíaDepartment of Microbiology, Paediatrics, Radiology and Public Health, Faculty of Medicine, University of Zaragoza, Zaragoza, Spain.
European Society of Clinical Microbiology and Infectious Diseases (ESCMID) PK/PD of Anti-Infectives Study Group (EPASG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This EPASG-endorsed consensus report provides practical and standardized guidance for the use of hollow fiber systems (HFSs) in modeling antimicrobial treatment of bacterial infections. An HFS allows the simulation of dynamic pharmacokinetic (PK) profiles and bacterial responses over extended time periods, making it highly suited for PK/pharmacodynamic (PD) studies. This document serves as a foundational reference for researchers using HFS to evaluate antimicrobial efficacy, optimize dosing regimens, and support translational research in infectious diseases.

Indexed as

biological sciencesmedical microbiologymicrobiologynatural sciences

Identifiers

PMID42325263
PMCPMC13276577

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.