Evidence map›Paper›PMID 31288975›Full record

ReviewTrends in microbiology2019

Bystander Selection for Antimicrobial Resistance: Implications for Patient Health.

Valerie J Morley, Robert J Woods, Andrew F Read

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Macrolide Resistance in theAntibiotics (Basel, Switzerland) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Challenges in Forecasting Antimicrobial Resistance.Emerging infectious diseases · 2023
    Review
  17. Review
  18. Article
  19. Combination antimicrobial therapy to manage resistance.Evolution, medicine, and public health · 2023
    Article
  20. 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.

Valerie J MorleyCenter for Infectious Disease Dynamics, Departments of Biology and Entomology, The Pennsylvania State University, University Park, PA, USA. Electronic address: vum84@psu.edu.
Robert J WoodsDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Andrew F ReadCenter for Infectious Disease Dynamics, Departments of Biology and Entomology, The Pennsylvania State University, University Park, PA, USA; Huck Institutes for the Life Sciences, The Pennsylvania State University, University Park, PA, USA.

Funding

Population Dynamics of Rotavirus: A Combined Theoretical, Bioinformatic and Laboratory Based ApproachK08AI119182 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WOODS, ROBERT J · 2016 to 2020
$960k
NIAID NIH HHS K08 AI119182NIAID NIH HHS L30 AI113834
6 · The paper itself

Abstract

Antimicrobial therapy promotes resistance emergence in target infections and in off-target microbiota. Off-target resistance emergence threatens patient health when off-target populations are a source of future infections, as they are for many important drug-resistant pathogens. However, the health risks of antimicrobial exposure in off-target populations remain largely unquantified, making rational antibiotic stewardship challenging. Here, we discuss the contribution of bystander antimicrobial exposure to the resistance crisis, the implications for antimicrobial stewardship, and some novel opportunities to limit resistance evolution while treating target pathogens.

Indexed as

Anti-Infective AgentsBacterial InfectionsCross InfectionDrug Resistance, BacterialGene Transfer, HorizontalHumansMicrobiotaRisk FactorsAnti-Infective Agentsantibiotic resistanceantimicrobial stewardshipevolutionary medicinemicrobiome

Identifiers

PMID31288975
PMCPMC7079199

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.