ReviewNature reviews. Microbiology2010
Antibiotic resistance and its cost: is it possible to reverse resistance?
Review in Nature reviews. Microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174519 (Evaluation of the Artificial Intelligence-based Prescription Support Software iAST® for the Choice of Empirical and Semi-targeted Antibiotic Treatment), which is not on this map. Cited by 968 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Evaluation of the Artificial Intelligence-based Prescription Support Software iAST® for the Choice of Empirical and Semi-targeted Antibiotic Treatment
Who cites it
968 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Do animal husbandry operations contaminate groundwater sources with antimicrobial resistance: systematic review.Environmental science and pollution research international · 2024Pooled it
- Water, sanitation, handwashing, and nutritional interventions can reduce child antibiotic use: evidence from Bangladesh and Kenya.Nature communications · 2025Trial
- Structural transition in antimicrobial resistance dynamics ofInfectious Disease Modelling · 2027Article
- Article
- Post-infection colonization and recurrent infections by ST11-KL64 carbapenem-resistantVirulence · 2026Article
- ISEmerging microbes & infections · 2026Article
- BamA as a next-generation antibacterial target: mechanistic insights, inhibitor landscape, and rational drug design strategies.RSC advances · 2026Review
- Population size modulates the transition from gene amplification-mediated heteroresistance to stable resistance.npj antimicrobials and resistance · 2026Article
- Predicting resistance evolution to guide antibiotic development.Nature reviews. Microbiology · 2026Review
- Recurrent reversible mutations atMicrobiology spectrum · 2026Article
- In-host adaptation ofMicrobiology spectrum · 2026Article
- Role of extended-spectrum β-lactamase (ESBL) genes in the dissemination of β-lactam resistance within aquatic environments: mechanisms, persistence, and one health implications.World journal of microbiology & biotechnology · 2026Review
- Antibacterial surface engineering: bioinspiration from leaves to medical devices.RSC applied interfaces · 2026Review
- Pairwise Growth Dynamics of EnvironmentalAntibiotics (Basel, Switzerland) · 2026Article
- Comparison ofInfection and immunity · 2026Article
- Simulating the host niche: balancing complexity and control in the experimental evolution of antibiotic resistance and pathoadaptation.Microbiology (Reading, England) · 2026Review
- Triple Threat: Elucidating Evolution Under Antibiotic, Metal, and Phage Pressure inEcology and evolution · 2026Article
- Acute and 28-Day Toxicity Evaluation of New Pleuromutilin Derivative 4g.Journal of applied toxicology : JAT · 2026Article
- Impaired Membrane Energetics Underlies Collateral Sensitivity to Amphenicols During Meropenem Resistance Evolution inMicroorganisms · 2026Article
- Bioprospecting of cultivable actinobacteria from tropical peat swamp forest soil reveals Streptomyces with potent antimicrobial activity.Antonie van Leeuwenhoek · 2026Article
908 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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most antibiotic resistance mechanisms are associated with a fitness cost that is typically observed as a reduced bacterial growth rate. The magnitude of this cost is the main biological parameter that influences the rate of development of resistance, the stability of the resistance and the rate at which the resistance might decrease if antibiotic use were reduced. These findings suggest that the fitness costs of resistance will allow susceptible bacteria to outcompete resistant bacteria if the selective pressure from antibiotics is reduced. Unfortunately, the available data suggest that the rate of reversibility will be slow at the community level. Here, we review the factors that influence the fitness costs of antibiotic resistance, the ways by which bacteria can reduce these costs and the possibility of exploiting them.
Indexed as
Identifiers
20208551What 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.