ArticleAntimicrobial agents and chemotherapy1997
The population dynamics of antimicrobial chemotherapy.
Article in Antimicrobial agents and chemotherapy, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
96 citing papers in PubMed, 244 citations in OpenAlex.
- Trial
- Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review.BMC public health · 2026Article
- Beyond resistance and tolerance: rethinking evolutionary responses to antibiotics from the perspective of individual bacterial cells.Nature communications · 2026Review
- Fitness seascapes are necessary for realistic modeling of the evolutionary response to drug therapy.Science advances · 2025Article
- Rapid Design of Combination Antimicrobial Therapy againstComputers & chemical engineering · 2025Article
- Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Linking within- and between-host scales for understanding the evolutionary dynamics of quantitative antimicrobial resistance.Journal of mathematical biology · 2023Article
- Modelling antimicrobial resistance transmission to guide personalized antimicrobial stewardship interventions and infection control policies in healthcare setting: a pilot study.Scientific reports · 2023Review
- Quantifying stochastic establishment of mutants in microbial adaptation.Microbiology (Reading, England) · 2023Review
- The pharmacokinetic-pharmacodynamic modelling framework as a tool to predict drug resistance evolution.Microbiology (Reading, England) · 2023Article
- Rapid In Vitro Assessment of Antimicrobial Drug Effect Bridging Clinically Relevant Pharmacokinetics: A Comprehensive Methodology.Pharmaceutics · 2023Article
- Substandard and falsified antibiotics: neglected drivers of antimicrobial resistance?BMJ global health · 2022Article
- Unraveling the Nature of Antibiotics: Is It a Cure or a New Hurdle to the Patient Treatment?Cureus · 2022Review
- Discerning in vitro pharmacodynamics from OD measurements: A model-based approach.Computers & chemical engineering · 2022Article
- Mechanisms of antibiotic action shape the fitness landscapes of resistance mutations.Computational and structural biotechnology journal · 2022Article
- Article
- Prevalence of Substandard Amoxicillin Oral Dosage Forms in the National Capital District of Papua New Guinea.The American journal of tropical medicine and hygiene · 2021Article
- Compatibility of Evolutionary Responses to Constituent Antibiotics Drive Resistance Evolution to Drug Pairs.Molecular biology and evolution · 2021Article
- Article
- A Roadblock-and-Kill Mechanism of Action Model for the DNA-Targeting Antibiotic Ciprofloxacin.Antimicrobial agents and chemotherapy · 2020Article
36 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
We present and analyze a series of mathematical models for the emergence of resistance during antibiotic treatment of an infected host. The models consider the population dynamics of antibiotic-sensitive and -resistant bacteria during the course of treatment and addresses the following problems: (i) the probability of obtaining a resistant mutant during the course of treatment as a function of antibiotic exposure; (ii) the conditions under which high, infrequent doses of an antibiotic are predicted to succeed in preventing the emergence of resistance; (iii) the conditions for the success of multiple drug treatment in suppressing the emergence of resistance and the relationship between antibiotic synergism and suppression of resistance; and (iv) the conditions under which nonadherence to the prescribed treatment regimen is predicted to result in treatment failure due to resistance. We analyze the predictions of the model for interpreting and extrapolating existing experimental studies of treatment efficacy and for optimizing treatment protocols to prevent the emergence of resistance.
Indexed as
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What OpenQuestion holds
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.