Evidence map›Paper›PMID 25918446›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

How could preventive therapy affect the prevalence of drug resistance? Causes and consequences.

Amber Kunkel, Caroline Colijn, Marc Lipsitch, Ted Cohen

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Interventions for the prevention of recurrent erysipelas and cellulitis.The Cochrane database of systematic reviews · 2017
    Pooled it
  3. Tuberculosis prevention: current strategies and future directions.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2024
    Review
  4. Article
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  15. Antimicrobial resistance: addressing the threat to global health. Preface.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    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.

Amber KunkelDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06520, USA agkunkel@gmail.com.
Caroline ColijnDepartment of Mathematics, Imperial College, London SW7 2AZ, UK.
Marc LipsitchDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06520, USA.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 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
Evaluating health and economic effects of targeted strategies in TB/HIVR01AI112438 · NIAID · YALE UNIVERSITY · PI COHEN, THEODORE H, SALOMON, JOSHUA A · 2014 to 2017
$2.4M
NIAID NIH HHS R01 AI112438NIAID NIH HHS R01AI112438NIAID NIH HHS T32 AI007535NIAID NIH HHS T32AI007535NIGMS NIH HHS U54 GM088558NIGMS NIH HHS U54GM088558
6 · The paper itself

Abstract

Various forms of preventive and prophylactic antimicrobial therapies have been proposed to combat HIV (e.g. pre-exposure prophylaxis), tuberculosis (e.g. isoniazid preventive therapy) and malaria (e.g. intermittent preventive treatment). However, the potential population-level effects of preventative therapy (PT) on the prevalence of drug resistance are not well understood. PT can directly affect the rate at which resistance is acquired among those receiving PT. It can also indirectly affect resistance by altering the rate at which resistance is acquired through treatment for active disease and by modifying the level of competition between transmission of drug-resistant and drug-sensitive pathogens. We propose a general mathematical model to explore the ways in which PT can affect the long-term prevalence of drug resistance. Depending on the relative contributions of these three mechanisms, we find that increasing the level of coverage of PT may result in increases, decreases or non-monotonic changes in the overall prevalence of drug resistance. These results demonstrate the complexity of the relationship between PT and drug resistance in the population. Care should be taken when predicting population-level changes in drug resistance from small pilot studies of PT or estimates based solely on its direct effects.

Indexed as

Models, TheoreticalAntibiotic ProphylaxisCommunicable Disease ControlComputer SimulationDrug Resistance, MicrobialHumansInfectionsPrevalenceantibiotic resistancecompetitionindirect effectsmathematical modelpreventiveprophylaxis

Identifiers

PMID25918446
PMCPMC4424438

What OpenQuestion holds

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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.