Evidence map›Paper›PMID 37312496›Full record

ArticleJournal of the Royal Society, Interface2023

Estimating the fitness cost and benefit of antimicrobial resistance from pathogen genomic data.

David Helekal, Matt Keeling, Yonatan H Grad, Xavier Didelot

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Avian-specificeLife · 2025
    Article
  11. Heterogeneous subpopulations inFrontiers in cellular and infection microbiology · 2025
    Article
  12. Review
  13. Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review.IEEE access : practical innovations, open solutions · 2024
    Article
  14. 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

4 authors.

David HelekalCentre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry, UK.
Matt KeelingMathematics Institute and School of Life Sciences, University of Warwick, Coventry, UK.ORCID 0000-0003-4639-4765
Yonatan H GradDepartment of Immunology and Infectious Diseases, TH Chan School of Public Health, Harvard University, Boston, MA, USA.ORCID 0000-0001-5646-1314
Xavier DidelotSchool of Life Sciences and Department of Statistics, University of Warwick, Coventry, UK.ORCID 0000-0003-1885-500X

Funding

Genomics approaches to elucidating pathways to antibiotic resistance in Neisseria gonorrhoeaeR01AI132606 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Yonatan H Grad · 2017 to 2026
$3.8M
NIAID NIH HHS R01 AI132606
6 · The paper itself

Abstract

Increasing levels of antibiotic resistance in many bacterial pathogen populations are a major threat to public health. Resistance to an antibiotic provides a fitness benefit when the bacteria are exposed to this antibiotic, but resistance also often comes at a cost to the resistant pathogen relative to susceptible counterparts. We lack a good understanding of these benefits and costs of resistance for many bacterial pathogens and antibiotics, but estimating them could lead to better use of antibiotics in a way that reduces or prevents the spread of resistance. Here, we propose a new model for the joint epidemiology of susceptible and resistant variants, which includes explicit parameters for the cost and benefit of resistance. We show how Bayesian inference can be performed under this model using phylogenetic data from susceptible and resistant lineages and that by combining data from both we are able to disentangle and estimate the resistance cost and benefit parameters separately. We applied our inferential methodology to several simulated datasets to demonstrate good scalability and accuracy. We analysed a dataset of

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialBayes TheoremCost-Benefit AnalysisFluoroquinolonesGenomicsPhylogenyAnti-Bacterial AgentsFluoroquinolonesantimicrobial resistancegenomic epidemiologyphylodynamicsresistance fitness cost

Identifiers

PMID37312496
PMCPMC10265023

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.