Evidence map›Paper›PMID 39230264›Full record

ArticlemSystems2024

Metapopulation model of phage therapy of an acute

Rogelio A Rodriguez-Gonzalez, Quentin Balacheff, Laurent Debarbieux, Jacopo Marchi, Joshua S Weitz

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Multi-strain phage induced clearance of bacterial infections.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Rogelio A Rodriguez-GonzalezInterdisciplinary Graduate Program in Quantitative Biosciences,Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0002-5460-4999
Quentin BalacheffCHU Félix Guyon, Service des maladies respiratoires, La Réunion, France.
Laurent DebarbieuxDepartment of Microbiology, Institut Pasteur, Université Paris Cité, CNRS UMR6047, Bacteriophage Bacterium Host, Paris, France.ORCID 0000-0001-6875-5758
Jacopo MarchiDepartment of Biology, University of Maryland, College Park, Maryland, USA.ORCID 0000-0003-1192-1203
Joshua S WeitzDepartment of Biology, University of Maryland, College Park, Maryland, USA.ORCID 0000-0002-3433-8312

Funding

Synergistic control of acute respiratory pathogens by bacteriophage and the innate immune responseR01AI146592 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI DEBARBIEUX, LAURENT, WEITZ, JOSHUA · 2019 to 2023
$2.4M
Consejo Nacional de Ciencia y Tecnología (CONACYT)NIAID NIH HHS R01 AI146592
6 · The paper itself

Abstract

Infections caused by multidrug resistant (MDR) pathogenic bacteria are a global health threat. Bacteriophages ("phage") are increasingly used as alternative or last-resort therapeutics to treat patients infected by MDR bacteria. However, the therapeutic outcomes of phage therapy may be limited by the emergence of phage resistance during treatment and/or by physical constraints that impede phage-bacteria interactions IMPORTANCE: Phage therapy is increasingly employed as a compassionate treatment for severe infections caused by multidrug-resistant (MDR) bacteria. However, the mixed outcomes observed in larger clinical studies highlight a gap in understanding when phage therapy succeeds or fails. Previous research from our team, using

Indexed as

Phage TherapyPseudomonas aeruginosaPseudomonas InfectionsAnimalsBacteriophagesDrug Resistance, Multiple, BacterialHumansLungMiceMice, Inbred C57BLModels, Biologicalantibiotic resistanceantimicrobial agentsbacteriophage therapyinfectious diseaseinnate immunitylung infectionmathematical modelingmicrobial ecologyPseudomonas aeruginosavirology

Identifiers

PMID39230264
PMCPMC11562898

What OpenQuestion holds

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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.