ReviewFrontiers in microbiology2025
Detection of antimicrobial resistance via state-of-the-art technologies versus conventional methods.
Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and mechanisms of antimicrobial resistance in respiratory bacterial pathogens of ruminants: a systematic review.Veterinary research communications · 2025Pooled it
- Phenotypic resistance to life-saving antimicrobials in Gram-positive bacteria isolated from wild birds in Northern Italy: a One Health surveillance perspective.One health (Amsterdam, Netherlands) · 2026Article
- Standardized In-house Protocol for Determining the Minimum Inhibitory Concentration (MIC) via Broth Microdilution for Natural Products Against Obligate Anaerobic Bacteria.Current protocols · 2026Article
- Epitope-Imprinted Polymers for Selective Recognition of Bacterial Proteins: From Design to Analytical Applications.ACS measurement science au · 2026Review
- Comparison of Environmental Microbiomes, Resistomes and Plasmidomes from a Human Tertiary Hospital and Companion Animal Veterinary Hospital in London, UK.Antibiotics (Basel, Switzerland) · 2026Article
- Point of care antimicrobial susceptibility testing.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- Beyond β-Lactams: Defining the Role of Eravacycline in Multidrug-Resistant and Metallo-β-Lactamase-Producing Infections.Antibiotics (Basel, Switzerland) · 2026Review
- Point-of-Care Electrochemical Diagnostic Developments for Multidrug-Resistant Bacteria: Role of Aptamers and Nanomaterials.Biosensors · 2026Review
- Antimicrobial Resistance in the Food Chain: Bridging Knowledge Gaps for Effective Detection and Control.Antibiotics (Basel, Switzerland) · 2026Review
- Antimicrobial Resistance in Cancer Care: Challenge and Path Forward.Health science reports · 2026Review
- Prevalence, risk factors, and innovative therapies for methicillin-resistantOpen veterinary journal · 2026Review
- Comparative study of targeted next-generation sequencing and traditional pathogen detection methods in lower respiratory tract infections: impact on patient outcomes.Frontiers in microbiology · 2026Article
- Toward standardized environmental detection of antibiotics and ARGs for regulatory interpretation and concern tiering.Frontiers in microbiology · 2026Review
- Reimagining tuberculosis elimination in India: diagnostics, drug resistance, and digital health strategies.Frontiers in epidemiology · 2026Review
- Advances in the detection of antimicrobial resistance in aquatic environments: a methodological perspective.Biology methods & protocols · 2026Review
- Antibiotic resistance inFrontiers in microbiology · 2026Review
- Probiogenomics as a Computational Biotechnology Framework: Safety-Gated Genome Analytics for Candidate Probiotic Prioritization and Validation.Computational and structural biotechnology journal · 2026Review
- The role of the gut microbiome in antibiotic-driven antimicrobial resistance.Frontiers in microbiology · 2026Review
- Metabolomics-driven prediction of antibiotic resistance: a perspective on pre-genetic intervention.npj antimicrobials and resistance · 2025Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial resistance (AMR) is recognized as one of the foremost global health challenges, complicating the treatment of infectious diseases and contributing to increased morbidity and mortality rates. Traditionally, microbiological culture and susceptibility testing methods, such as disk diffusion and minimum inhibitory concentration (MIC) assays, have been employed to identify AMR bacteria. However, these conventional techniques are often labor intensive and time consuming and lack the requisite sensitivity for the early detection of resistance. Recent advancements in molecular and genomic technologies-such as next-generation sequencing (NGS), matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS), lateral flow immunoassays (LFIAs), PCR-based diagnostic methods, and CRISPR-based diagnostics-have revolutionized the diagnosis of AMR. These innovative approaches provide increased sensitivity, reduced turnaround times, and the ability to identify genetic resistance mechanisms. This review seeks to examine the advantages and disadvantages of both emerging technologies and traditional methods for detecting AMR, emphasizing the potential benefits and limitations inherent to each. By understanding the strengths and limitations of these technologies, stakeholders, including researchers, healthcare professionals, regulatory agencies, health authorities, financial managers, and patients, can make informed decisions aimed at preventing the emergence and dissemination of antibiotic-resistant strains, thereby ultimately increasing patient safety.
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What 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.