ArticleMathematical biosciences2010
Qualitative analysis of models with different treatment protocols to prevent antibiotic resistance.
Article in Mathematical biosciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Send more data: a systematic review of mathematical models of antimicrobial resistance.Antimicrobial resistance and infection control · 2018Pooled it
- Trial
- Antibiotic treatment protocols revisited: the challenges of a conclusive assessment by mathematical modelling.Journal of the Royal Society, Interface · 2021Article
- Application of dynamic modelling techniques to the problem of antibacterial use and resistance: a scoping review.Epidemiology and infection · 2018Article
- Mathematical modelling of bacterial resistance to multiple antibiotics and immune system response.SpringerPlus · 2016Article
- Transmission dynamics of resistant bacteria in a predator-prey system.Computational and mathematical methods in medicine · 2015Article
- Modeling the role of altruism of antibiotic-resistant bacteria.Journal of mathematical biology · 2014Article
- A modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization.American journal of epidemiology · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
This paper is concerned with the qualitative analysis of two models [S. Bonhoeffer, M. Lipsitch, B.R. Levin, Evaluating treatment protocols to prevent antibiotic resistance, Proc. Natl. Acad. Sci. USA 94 (1997) 12106] for different treatment protocols to prevent antibiotic resistance. Detailed qualitative analysis about the local or global stability of the equilibria of both models is carried out in term of the basic reproduction number R(0). For the model with a single antibiotic therapy, we show that if R(0)<1, then the disease-free equilibrium is globally asymptotically stable; if R(0)>1, then the disease-endemic equilibrium is globally asymptotically stable. For the model with multiple antibiotic therapies, stabilities of various equilibria are analyzed and combining treatment is shown better than cycling treatment. Numerical simulations are performed to show that the dynamical properties depend intimately upon the parameters.
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Registered trials
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.