ReviewMicroorganisms2022
Overcoming Antibiotic Resistance with Novel Paradigms of Antibiotic Selection.
Review in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- When Culture Results Don't Tell the Whole Story: A Practical Review of Antibiotics Pitfalls for Clinical Decision-Making.Infectious diseases and therapy · 2026Review
- The diagnostic value of metagenomic next-generation sequencing versus traditional microbiological testing in native pyogenic spinal infections: A systematic review and meta-analysis.North American Spine Society journal · 2026Review
- Nanomedicine Strategies Against Biofilm-Associated Infections: Advances, Challenges, and Translational Barriers.MicrobiologyOpen · 2026Review
- Pooled Antibiotic Susceptibility Testing for Polymicrobial UTI Performs Within CLSI Validation Standards.Antibiotics (Basel, Switzerland) · 2025Article
- Comparison of commercial next-generation sequencing assays to conventional culture methods for bacterial identification and antimicrobial susceptibility of samples obtained from clinical cases of canine superficial bacterial folliculitis.Veterinary dermatology · 2025Article
- Universal receptive system as a novel regulator of transcriptomic activity of Staphylococcus aureus.Microbial cell factories · 2025Article
- Susceptibility and resistance of Gram-negative bacteria to a novel antimicrobial agent TGV-49.Frontiers in antibiotics · 2025Article
- Pooled Antibiotic Susceptibility Testing Performs Within CLSI Standards for Validation When Measured Against Broth Microdilution and Disk Diffusion Antibiotic Susceptibility Testing of Cultured Isolates.Antibiotics (Basel, Switzerland) · 2024Article
- Tracking the progeny of bacterial persisters using a CRISPR-based genomic recorder.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Prevalence and pattern of antibiotic use and resistance among Iraqi patients: a cross-sectional study.African health sciences · 2024Article
- A new model of endotracheal tube biofilm identifies combinations of matrix-degrading enzymes and antimicrobials able to eradicate biofilms of pathogens that cause ventilator-associated pneumonia.Microbiology (Reading, England) · 2024Article
- Biofilm antimicrobial susceptibility testing: where are we and where could we be going?Clinical microbiology reviews · 2023Review
- Reduced Antibiotic Resistance in the Rhizosphere ofBiology · 2023Article
- AtbFinder Diagnostic Test System Improves Optimal Selection of Antibiotic Therapy in Persons with Cystic Fibrosis.Journal of clinical microbiology · 2023Article
- Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates.Scientific reports · 2023Article
- Treatment of chronic relapsing urinary tract infection with antibiotics selected by AtbFinder.Urology case reports · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Conventional antimicrobial susceptibility tests, including phenotypic and genotypic methods, are insufficiently accurate and frequently fail to identify effective antibiotics. These methods predominantly select therapies based on the antibiotic response of only the lead bacterial pathogen within pure bacterial culture. However, this neglects the fact that, in the majority of human infections, the lead bacterial pathogens are present as a part of multispecies communities that modulate the response of these lead pathogens to antibiotics and that multiple pathogens can contribute to the infection simultaneously. This discrepancy is a major cause of the failure of antimicrobial susceptibility tests to detect antibiotics that are effective in vivo. This review article provides a comprehensive overview of the factors that are missed by conventional antimicrobial susceptibility tests and it explains how accounting for these methods can aid the development of novel diagnostic approaches.
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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.