Evidence map›Paper›PMID 28566489›Full record

ArticleProceedings. Biological sciences2017

An evolutionary model to predict the frequency of antibiotic resistance under seasonal antibiotic use, and an application to

François Blanquart, Sonja Lehtinen, Christophe Fraser

Open access · hybridAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review.IEEE access : practical innovations, open solutions · 2024
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  9. Review
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  11. Rising Pneumococcal Antibiotic Resistance in the Post-13-Valent Pneumococcal Conjugate Vaccine Era in Pediatric Isolates From a Primary Care Setting.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  12. The role of "spillover" in antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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 at 3 institutions in 2 countries.

François BlanquartDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK francois.blanquart@normalesup.org.ORCID http://orcid.org/0000-0003-0591-2466
Sonja LehtinenDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Christophe FraserDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Centre Interdisciplinaire de Recherche en Biologie · FROpen Data Institute · GBUniversity of Oxford · GB

Funding

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
NIGMS NIH HHS U01 GM110721
6 · The paper itself

Abstract

The frequency of resistance to antibiotics in

Indexed as

Biological EvolutionAnti-Bacterial AgentsDrug Resistance, MicrobialHumansIsraelModels, BiologicalSeasonsStreptococcus pneumoniaeAnti-Bacterial Agentsadaptationantimicrobial resistancebalancing selectiondrug resistancefluctuating selectionmicrobiology

Identifiers

PMID28566489
PMCPMC5454275
OpenAlexW2618807208

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.