Evidence map›Paper›PMID 34517942›Full record

ArticleeLife2021

Microbiome-pathogen interactions drive epidemiological dynamics of antibiotic resistance: A modeling study applied to nosocomial pathogen control.

David Rm Smith, Laura Temime, Lulla Opatowski

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Review
  7. Article
  8. Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. 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

3 authors.

David Rm SmithInstitut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France.ORCID 0000-0002-7330-4262
Laura Temime *Modélisation, épidémiologie et surveillance des risques sanitaires (MESuRS), Conservatoire national des arts et métiers, Paris, France.ORCID 0000-0002-8850-5403
Lulla Opatowski *Institut Pasteur, Epidemiology and Modelling of Antibiotic Evasion (EMAE), Paris, France.

Funding

CIHR 164263
6 · The paper itself

Abstract

The human microbiome can protect against colonization with pathogenic antibiotic-resistant bacteria (ARB), but its impacts on the spread of antibiotic resistance are poorly understood. We propose a mathematical modeling framework for ARB epidemiology formalizing within-host ARB-microbiome competition, and impacts of antibiotic consumption on microbiome function. Applied to the healthcare setting, we demonstrate a trade-off whereby antibiotics simultaneously clear bacterial pathogens and increase host susceptibility to their colonization, and compare this framework with a traditional strain-based approach. At the population level, microbiome interactions drive ARB incidence, but not resistance rates, reflecting distinct epidemiological relevance of different forces of competition. Simulating a range of public health interventions (contact precautions, antibiotic stewardship, microbiome recovery therapy) and pathogens (

Indexed as

Anti-Bacterial AgentsBacteriaCross InfectionDrug Resistance, MicrobialHumansMicrobiotaModels, TheoreticalAnti-Bacterial AgentsantibioticsC. difficileE. coliecologyepidemiologyglobal healthhumanK. pneumoniaemicrobiotaS. aureuswithin-host interactions

Identifiers

PMID34517942
PMCPMC8560094

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.