Evidence map›Paper›PMID 31095567›Full record

ArticlePLoS biology2019

Resistance diagnostics as a public health tool to combat antibiotic resistance: A model-based evaluation.

David McAdams, Kristofer Wollein Waldetoft, Christine Tedijanto, Marc Lipsitch, Sam P Brown

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Co-occurrence of blaBMC microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Advantage of precision metagenomics for urinary tract infection diagnostics.Frontiers in cellular and infection microbiology · 2023
    Article
  10. Article
  11. Article
  12. Methicillin ResistantInfection and drug resistance · 2023
    Review
  13. Article
  14. Evolving antibiotic spectrum.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Rapid Methods for Antimicrobial Resistance Diagnostics.Antibiotics (Basel, Switzerland) · 2021
    Review
  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

5 authors.

David McAdamsFuqua School of Business and Department of Economics, Duke University, Durham, North Carolina, United States of America.
Kristofer Wollein WaldetoftSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Christine TedijantoCenter for Communicable Disease Dynamics, Department of Epidemiology and Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0003-3403-5765
Marc LipsitchCenter for Communicable Disease Dynamics, Department of Epidemiology and Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Sam P BrownSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, United States of America.ORCID 0000-0003-1892-9275

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI COHEN, THEODORE H · 2009 to 2018
$26.4M
Epidemiology of Infectious Diseases and BiodefenseT32AI007535 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GRAD, YONATAN H, MURRAY, MEGAN B · 1998 to 2025
$4.8M
Bacterial regulatory evolution during adaptation to chronic infectionsR56HL142857 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI BROWN, SAMUEL PAUL · 2018 to 2018
$501k
NHLBI NIH HHS R56 HL142857NIAID NIH HHS T32 AI007535NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

Rapid point-of-care resistance diagnostics (POC-RD) are a key tool in the fight against antibiotic resistance. By tailoring drug choice to infection genotype, doctors can improve treatment efficacy while limiting costs of inappropriate antibiotic prescription. Here, we combine epidemiological theory and data to assess the potential of resistance diagnostics (RD) innovations in a public health context, as a means to limit or even reverse selection for antibiotic resistance. POC-RD can be used to impose a nonbiological fitness cost on resistant strains by enabling diagnostic-informed treatment and targeted interventions that reduce resistant strains' opportunities for transmission. We assess this diagnostic-imposed fitness cost in the context of a spectrum of bacterial population biologies and find that POC-RD have a greater potential against obligate pathogens than opportunistic pathogens already subject to selection under "bystander" antibiotic exposure during asymptomatic carriage (e.g., the pneumococcus). We close by generalizing the notion of RD-informed strategies to incorporate carriage surveillance information and illustrate that coupling transmission-control interventions to the discovery of resistant strains in carriage can potentially select against resistance in a broad range of opportunistic pathogens.

Indexed as

Drug Resistance, MicrobialModels, TheoreticalPublic HealthHumansPoint-of-Care SystemsStreptococcus pneumoniae

Identifiers

PMID31095567
PMCPMC6522007

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.