Evidence map›Paper›PMID 25680587›Full record

ReviewTrends in microbiology2015

Is selection relevant in the evolutionary emergence of drug resistance?

Troy Day, Silvie Huijben, Andrew F Read

Abstract readReview
In one paragraph

Review in Trends in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Competitive suppression and release in artemisinin-resistantEvolution, medicine, and public health · 2026
    Article
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  3. Article
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  6. Article
  7. Review
  8. Review
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  11. Review
  12. Dynamics ofFEMS microbes · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Mechanisms of antibiotic action shape the fitness landscapes of resistance mutations.Computational and structural biotechnology journal · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Troy DayDepartment of Mathematics and Statistics, Jeffery Hall, Queen's University, Kingston, ON K7L 3N6, Canada; Department of Biology, Queen's University, Kingston, ON K7L 3N6, Canada; The Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: tday@mast.queensu.ca.
Silvie HuijbenISGlobal, Barcelona Centre for International Health Research (CRESIB), Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
Andrew F ReadThe Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA; Center for Infectious Disease Dynamics, Departments of Biology and Entomology, Pennsylvania State University, University Park, PA 16802, USA.

Funding

The evolutionary biology of chemotherapy against infectious agents: towards ratiR01GM089932 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI READ, ANDREW F. · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM089932NIGMS NIH HHS R01GM089932
6 · The paper itself

Abstract

The emergence of drug-resistant pathogens is often considered a canonical case of evolution by natural selection. Here we argue that the strength of selection can be a poor predictor of the rate of resistance emergence. It is possible for a resistant strain to be under negative selection and still emerge in an infection or spread in a population. Measuring the right parameters is a necessary first step toward the development of evidence-based resistance-management strategies. We argue that it is the absolute fitness of the resistant strains that matters most and that a primary determinant of the absolute fitness of a resistant strain is the ecological context in which it finds itself.

Indexed as

Evolution, MolecularGenetic FitnessSelection, GeneticDrug ResistanceDrug Resistance, MicrobialMutationPlasmodium chabaudiantibioticschemotherapyevolutionary rescuemutant selection window

Identifiers

PMID25680587
PMCPMC4494118

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.