Evidence map›Paper›PMID 29263062›Full record

ArticleAntimicrobial agents and chemotherapy2018

Modeling the Emergence of Antibiotic Resistance in the Environment: an Analytical Solution for the Minimum Selection Concentration.

Ben K Greenfield, Shanna Shaked, Carl F Marrs, Patrick Nelson, Ian Raxter, Chuanwu Xi, Thomas E McKone, Olivier Jolliet

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. A Pharmacodynamic Study of Aminoglycosides against PathogenicPharmaceuticals (Basel, Switzerland) · 2023
    Article
  8. Review
  9. Sequential antibiotic therapy in the laboratory and in the patient.Journal of the Royal Society, Interface · 2023
    Article
  10. Article
  11. Antibiotic resistance in the environment.Nature reviews. Microbiology · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. 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

8 authors.

Ben K GreenfieldDepartment of Environmental Health Sciences, University of California-Berkeley, Berkeley, California, USA begreen@siue.edu.ORCID 0000-0003-1038-7635
Shanna ShakedDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
Carl F MarrsDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
Patrick NelsonDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Ian RaxterDepartment of Mathematics, University of Michigan, Ann Arbor, Michigan, USA.
Chuanwu XiDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Thomas E McKoneDepartment of Environmental Health Sciences, University of California-Berkeley, Berkeley, California, USA.
Olivier JollietDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
NIEHS NIH HHS P30 ES017885
6 · The paper itself

Abstract

Environmental antibiotic risk management requires an understanding of how subinhibitory antibiotic concentrations contribute to the spread of resistance. We develop a simple model of competition between sensitive and resistant bacterial strains to predict the minimum selection concentration (MSC), the lowest level of antibiotic at which resistant bacteria are selected. We present an analytical solution for the MSC based on the routinely measured MIC, the selection coefficient (

Indexed as

Models, TheoreticalAnti-Bacterial AgentsDrug Resistance, BacterialEnvironmental MicrobiologyMicrobial Sensitivity TestsAnti-Bacterial Agentsantibiotic resistancecompetitiondose responseenvironmental microbiologygrowth modelingmathematical modelingmetal resistanceMICminimum selection concentrationrisk

Identifiers

PMID29263062
PMCPMC5826132

What OpenQuestion holds

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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.