Evidence map›Paper›PMID 33766914›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Comparing treatment strategies to reduce antibiotic resistance in an in vitro epidemiological setting.

Daniel C Angst, Burcu Tepekule, Lei Sun, Balázs Bogos, Sebastian Bonhoeffer

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. ASP-COMPLEX: redefining antimicrobial stewardship to improve outcomes in high-risk patients with severe infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Review
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  10. The impact of treatment strategies on the epidemiological dynamics of plasmid-conferred antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

5 authors at 1 institution in 1 country.

Daniel C AngstInstitute of Integrative Biology, Department for Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland daniel.angst@env.ethz.ch.ORCID 0000-0002-6512-4595
Burcu TepekuleInstitute of Integrative Biology, Department for Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0001-6936-9138
Lei SunInstitute of Integrative Biology, Department for Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.
Balázs BogosInstitute of Integrative Biology, Department for Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0003-0253-7015
Sebastian BonhoefferInstitute of Integrative Biology, Department for Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0001-8052-3925
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid rise of antibiotic resistance, combined with the increasing cost and difficulties to develop new antibiotics, calls for treatment strategies that enable more sustainable antibiotic use. The development of such strategies, however, is impeded by the lack of suitable experimental approaches that allow testing their effects under realistic epidemiological conditions. Here, we present an approach to compare the effect of alternative multidrug treatment strategies in vitro using a robotic liquid-handling platform. We use this framework to study resistance evolution and spread implementing epidemiological population dynamics for treatment, transmission, and patient admission and discharge, as may be observed in hospitals. We perform massively parallel experimental evolution over up to 40 d and complement this with a computational model to infer the underlying population-dynamical parameters. We find that in our study, combination therapy outperforms monotherapies, as well as cycling and mixing, in minimizing resistance evolution and maximizing uninfecteds, as long as there is no influx of double resistance into the focal treated community.

Indexed as

Drug Therapy, CombinationEpidemicsEvolution, MolecularAdaptation, PhysiologicalAnti-Bacterial AgentsBacterial InfectionsComputer SimulationDrug Resistance, BacterialEscherichia coliHumansMutationNalidixic AcidPatient AdmissionPatient DischargeStreptomycinAnti-Bacterial AgentsNalidixic AcidStreptomycinantibiotic resistancecombination therapyexperimental epidemiology

Identifiers

PMID33766914
PMCPMC8020770
OpenAlexW3138023999

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.