Evidence map›Paper›PMID 28835542›Full record

ArticleJournal of the Royal Society, Interface2017

Host population structure and treatment frequency maintain balancing selection on drug resistance.

Sarah Cobey, Edward B Baskerville, Caroline Colijn, William Hanage, Christophe Fraser, Marc Lipsitch

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. 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
4.3field-weighted citation impact, top 5% of its field
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, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Tracking Antimicrobial ResistantMicroorganisms · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Relative Impact of Community and Hospital Antibiotic Use on the Selection of Extended-spectrum Beta-lactamase-producing Escherichia coli.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Estimating the proportion of bystander selection for antibiotic resistance among potentially pathogenic bacterial flora.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  19. Balancing Benefits and Risks of Antibiotic Use.The Journal of infectious diseases · 2018
    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

6 authors at 4 institutions in 2 countries.

Sarah CobeyDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA cobey@uchicago.edu.ORCID 0000-0001-5298-8979
Edward B BaskervilleDepartment of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
Caroline ColijnDepartment of Mathematics, Imperial College London, London, UK.
William HanageCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Christophe FraserOxford Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Marc LipsitchCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Center for Disease Dynamics, Economics & Policy · USUniversity of Chicago · USImperial College London · GBUniversity of Oxford · GB

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI COHEN, THEODORE H · 2009 to 2018
$26.4M
VACCINATION AND THE EVOLUTIONARY DYNAMICS OF PNEUMOCOCCIR01AI048935 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LIPSITCH, MARC · 2001 to 2016
$8.8M
Ecological and genetic contributions to the spread of resistance in pneumococcusR01AI106786 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2013 to 2017
$3.1M
Models for synthesising molecular, clinical and epidemiological data, and translaU01GM110721 · NIGMS · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI CAUCHEMEZ, SIMON, FERGUSON, NEIL MORRIS · 2014 to 2018
$1.9M
Signatures of Immunity on the Antigenic Diversity of PathogensF32GM097997 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI COBEY, SARAH · 2011 to 2012
$93k
NIAID NIH HHS R01 AI048935NIAID NIH HHS R01 AI106786NIGMS NIH HHS F32 GM097997NIGMS NIH HHS U01 GM110721NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

It is a truism that antimicrobial drugs select for resistance, but explaining pathogen- and population-specific variation in patterns of resistance remains an open problem. Like other common commensals,

Indexed as

Models, BiologicalPneumococcal InfectionsAnimalsAnti-Bacterial AgentsDrug Resistance, BacterialHost-Pathogen InteractionsHumansStreptococcus pneumoniaeAnti-Bacterial Agentsantimicrobial resistanceepidemiologyinfectious disease ecology

Identifiers

PMID28835542
PMCPMC5582124
OpenAlexW2952492141

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.