ReviewNature reviews. Microbiology2017
Prediction of antibiotic resistance: time for a new preclinical paradigm?
Review in Nature reviews. Microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
102 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning enables prediction of metabolic system evolution in bacteria.Science advances · 2023Pooled it
- Topical niclosamide (ATx201) reduces Staphylococcus aureus colonization and increases Shannon diversity of the skin microbiome in atopic dermatitis patients in a randomized, double-blind, placebo-controlled Phase 2 trial.Clinical and translational medicine · 2022Trial
- Comparing gut resistome composition among patients with acute Campylobacter infections and healthy family members.Scientific reports · 2021Trial
- Predicting resistance evolution to guide antibiotic development.Nature reviews. Microbiology · 2026Review
- Computational Genomics for Resistome Characterization: Current Advancements and Future Challenges Under a One Health Perspective.Antibiotics (Basel, Switzerland) · 2026Review
- Chromosome-Level Genome Assembly and Annotation of theJournal of fungi (Basel, Switzerland) · 2026Article
- Highly Resolved Community Sewage Metagenomics Unveiling Landscape and Transmission Patterns of Antibiotic Resistome in Hong Kong Populations.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Targeting the Dynamic Susceptibility Window: Time-Sensitive Photodynamic Synergy With Antibiotics Against Streptococcus spp.Lasers in surgery and medicine · 2026Article
- A comprehensive analysis of the kinetics of infection of lytic bacteriophages specific to the ESKAPE and critical pathogens.World journal of microbiology & biotechnology · 2026Review
- AmpC β-lactamases: A key to antibiotic resistance in ESKAPE pathogens.Cell surface (Amsterdam, Netherlands) · 2025Article
- Photodynamic Inactivation Enhances Antibiotic Efficacy Without Affecting Drug Stability: Insights into Photosensitizer-Antibiotic Combination Therapies.International journal of molecular sciences · 2025Article
- Synergistic Paradigms in Infection Control: A Review on Photodynamic Therapy as an Adjunctive Strategy to Antibiotics.ACS infectious diseases · 2025Review
- Implications From the Analogous Relationship Between Evolutionary and Learning Processes.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- Isolation, Identification, and Antibiotic Resistance, CRISPR System Analysis ofMicroorganisms · 2025Article
- Harnessing the Power of Antimicrobial Peptides: From Mechanisms to Delivery Optimization for Topical Infections.Antibiotics (Basel, Switzerland) · 2025Review
- Chimeric hBPIArchives of microbiology · 2025Article
- Global analysis of the metaplasmidome: ecological drivers and spread of antibiotic resistance genes across ecosystems.Microbiome · 2025Article
- Article
- Food substances alter gut resistome: Mechanisms, health impacts, and food components.Comprehensive reviews in food science and food safety · 2025Review
- Developing Gut-Healthy Strains for Pets: Probiotic Potential and Genomic Insights of Canine-DerivedMicroorganisms · 2025Article
42 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting the future is difficult, especially for evolutionary processes that are influenced by numerous unknown factors. Still, this is what is required of drug developers when they assess the risk of resistance arising against a new antibiotic candidate during preclinical development. In this Opinion article, we argue that the traditional procedures that are used for the prediction of antibiotic resistance today could be markedly improved by including a broader analysis of bacterial fitness, infection dynamics, horizontal gene transfer and other factors. This will lead to more informed preclinical decisions for continuing or discontinuing the development of drug candidates.
Indexed as
Identifiers
28757648What 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.