ReviewEvolutionary applications2019
Five rules for resistance management in the antibiotic apocalypse, a road map for integrated microbial management.
Review in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
53 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of the Costs of Drug-Associated Acute Kidney Injury and Potential Cost Savings With Nephrotoxin Stewardship Prevention Strategies.Clinical pharmacology and therapeutics · 2025Pooled it
- Prophylactic Cefazolin Dosing in Obesity-a Systematic Review.Obesity surgery · 2022Pooled it
- Trial
- Dose optimization of inhaled tigecycline in humans to overcome inherent adverse events and maximize bacterial clearance using a physiologically-based pharmacokinetic modeling approach.Frontiers in tuberculosis · 2026Article
- Artificial intelligence in drug resistance management.3 Biotech · 2025Review
- Endophytic fungi isolated from Vietnamese nut grass (Heliyon · 2025Article
- Drugs Targeting Sirtuin 2 Exhibit Broad-Spectrum Anti-Infective Activity.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.eLife · 2024Article
- When does antimicrobial resistance increase bacterial fitness? Effects of dosing, social interactions, and frequency dependence on the benefits of AmpCEvolution letters · 2024Article
- Context-dependent fitness benefits of antibiotic resistance mutations.Proceedings. Biological sciences · 2024Article
- Review
- Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.bioRxiv : the preprint server for biology · 2024Article
- Evolution and spread of multiadapted pathogens in a spatially heterogeneous environment.Evolution letters · 2024Article
- Modeling spatial evolution of multi-drug resistance under drug environmental gradients.PLoS computational biology · 2024Article
- Laboratory Evolution of Antimicrobial Resistance in Bacteria to Develop Rational Treatment Strategies.Antibiotics (Basel, Switzerland) · 2024Review
- Association between antimicrobial usage and resistance on commercial broiler and layer farms in Bangladesh.Frontiers in veterinary science · 2024Article
- Investigating Combination Therapy as a Means to Enhance Activity and Repurpose Antimicrobials.Methods in molecular biology (Clifton, N.J.) · 2024Article
- The evolution of resistance to synergistic multi-drug combinations is more complex than evolving resistance to each individual drug component.Evolutionary applications · 2023Article
- Biological lessons for strategic resistance management.Evolutionary applications · 2023Article
- Modeling spatial evolution of multi-drug resistance under drug environmental gradients.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Resistance to new antimicrobials can become widespread within 2-3 years. Resistance problems are particularly acute for bacteria that can experience selection as both harmless commensals and pathogenic hospital-acquired infections. New drugs, although welcome, cannot tackle the antimicrobial resistance crisis alone: new drugs must be partnered with more sustainable patterns of use. However, the broader experience of resistance management in other disciplines, and the assumptions on which resistance rests, is not widely appreciated in clinical and microbiological disciplines. Improved awareness of the field of resistance management could improve clinical outcomes and help shape novel solutions. Here, the aim is to develop a pragmatic approach to developing a sustainable integrated means of using antimicrobials, based on an interdisciplinary synthesis of best practice, recent theory and recent clinical data. This synthesis emphasizes the importance of pre-emptive action and the value of reducing the supply of genetic novelty to bacteria under selection. The weight of resistance management experience also cautions against strategies that over-rely on the fitness costs of resistance or low doses. The potential (and pitfalls) of shorter courses, antibiotic combinations and antibiotic mixing or cycling are discussed in depth. Importantly, some of variability in the success of clinical trials of mixing approaches can be explained by the number and diversity of drugs in a trial, as well as whether trials encompass single wards or the wider transmission network that is a hospital. Consideration of the importance of data, and of the initially low frequency of resistance, leads to a number of additional recommendations. Overall, reduction in selection pressure, interference with the transmission of problematic genotypes and multidrug approaches (combinations, mixing or cycling) are all likely to be required for sustainability and the protection of forthcoming drugs.
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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.