ArticleScience (New York, N.Y.)2022
Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections.
Article in Science (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 3 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
101 citing papers in PubMed, 3 syntheses or guidelines pooled it, 299 citations in OpenAlex.
- Pooled it
- Antimicrobial resistance crisis: could artificial intelligence be the solution?Military Medical Research · 2024Pooled it
- Pooled it
- Targeted lysosomal activation in bladder epithelium enhances clearance of intracellular uropathogenic Escherichia coli.PLoS pathogens · 2026Article
- Simple birth-death-mutation models predict some-but not all-aspects of the experimental evolution of antibiotic resistance.PLoS computational biology · 2026Article
- A lab-on-a-silicon-chip platform for all-electrical antibiotic susceptibility tests with a sample-to-results time within 20 minutes.Science advances · 2026Article
- A deep learning approach for predicting antimicrobial resistance in urinary tract infections.BMC urology · 2026Article
- Resistance potentiators: Evolutionary catalysts of antibiotic resistance.PLoS biology · 2026Article
- A sustained living coating for infectious keratitis therapy via probiotic consumption and production effects.Science advances · 2026Article
- Article
- Mapping 25 years of research on gut microbiota and antibiotic resistance: bibliometric insights and future directions.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- Article
- Core-shell microneedles with MMP/pH-triggered release for periodontitis bone repair.Journal of nanobiotechnology · 2026Article
- Resistance variation and bacterial interactions shape adaptation of a genetically diverse pathogen population to antibiotic therapy.The ISME journal · 2026Article
- Copper Single-Atoms Loaded on Molybdenum Disulphide Drive Bacterial Cuproptosis-Like Death and Interrupt Drug-Resistance Compensation Pathways.Nano-micro letters · 2026Article
- Artificial intelligence for improving decision-making in bacterial infection management: a narrative review.The Journal of antimicrobial chemotherapy · 2026Review
- Analysis of Antimicrobial Use and Bacterial Susceptibility in Patients with Urinary Tract Infections at a Certain Hospital From 2021 to 2023: A Retrospective Cohort Study.International journal of general medicine · 2026Article
- Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.PLoS computational biology · 2026Article
- Phylogenetic Context of Antibiotic Resistance Provides Insights into the Dynamics of Resistance Emergence and Spread.The Journal of infectious diseases · 2025Article
- Modulating the gut-bladder axis: fecal transplantation protects antibiotic-treated mice from E. coli cystitis via the Ahr/Prg4 pathway.Microbiome · 2025Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 3 countries.
Funding
Abstract
Treatment of bacterial infections currently focuses on choosing an antibiotic that matches a pathogen's susceptibility, with less attention paid to the risk that even susceptibility-matched treatments can fail as a result of resistance emerging in response to treatment. Combining whole-genome sequencing of 1113 pre- and posttreatment bacterial isolates with machine-learning analysis of 140,349 urinary tract infections and 7365 wound infections, we found that treatment-induced emergence of resistance could be predicted and minimized at the individual-patient level. Emergence of resistance was common and driven not by de novo resistance evolution but by rapid reinfection with a different strain resistant to the prescribed antibiotic. As most infections are seeded from a patient's own microbiota, these resistance-gaining recurrences can be predicted using the patient's past infection history and minimized by machine learning-personalized antibiotic recommendations, offering a means to reduce the emergence and spread of resistant pathogens.
Indexed as
Identifiers
What Socratic 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 Socratic graph.