Evidence map›Paper›PMID 29925579›Full record

ArticleJournal of the Royal Society, Interface2018

The evolution of antibiotic resistance in a structured host population.

François Blanquart, Sonja Lehtinen, Marc Lipsitch, Christophe Fraser

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Challenges in Forecasting Antimicrobial Resistance.Emerging infectious diseases · 2023
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Emerging Carbapenem-ResistantInfection and drug resistance · 2021
    Review
  17. The role of "spillover" in antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  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

4 authors.

François BlanquartCentre for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, PSL Research University, Paris, France francois.blanquart@normalesup.org.ORCID 0000-0003-0591-2466
Sonja LehtinenBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Marc LipsitchCenter for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Christophe FraserBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
Medical Research Council MR/R015600/1NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

The evolution of antibiotic resistance in opportunistic pathogens such as

Indexed as

Bacterial InfectionsDrug Resistance, BacterialEvolution, MolecularModels, BiologicalAdaptation, PhysiologicalAnti-Bacterial AgentsEscherichia coliHost-Pathogen InteractionsHumansStaphylococcus aureusStreptococcus pneumoniaeAnti-Bacterial Agentsadaptationantimicrobial resistancecommunitydrug resistanceheterogeneous environmentmathematical model

Identifiers

PMID29925579
PMCPMC6030642

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.