ArticleNature reviews. Methods primers2023
Single-cell pathogen diagnostics for combating antibiotic resistance.
Article in Nature reviews. Methods primers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.Briefings in bioinformatics · 2025Pooled it
- Rapid and robust diagnosis of bloodstream infections by single-cell analysis.Science advances · 2026Article
- Artificial Intelligence-Empowered Single-Cell Phenotyping for Rapid, Automated Pathogen Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- Microfluidic point-of-care testing for antimicrobial resistance: advances, strategies, and One Health perspectives.Science in One Health · 2026Review
- Research advances in the application of microfluidic chip technology for rapid detection of antibiotic-resistant bacteria.Frontiers in cellular and infection microbiology · 2026Review
- Rapid culture-free diagnosis of clinical pathogens via integrated microfluidic-Raman micro-spectroscopy.Nature communications · 2025Article
- Microbiological diagnostics and their impact on hematology nursing.Folia microbiologica · 2025Review
- Droplet-Based Microfluidics in Single-Bacterium Analysis: Advancements in Cultivation, Detection, and Application.Biosensors · 2025Review
- Droplet microfluidics-based detection of rare antibiotic-resistant subpopulations inScience advances · 2025Article
- An integrated multi-mode detection platform based on CRISPR/Cas 12a and aptamers for ultra-sensitive identification of sulfamethazine and genes associated with sulfonamide resistance.Journal of nanobiotechnology · 2025Article
- A tube-based biosensor for DNA and RNA detection.Science advances · 2025Article
- Precision single cell analysis to characterize host dependent antimicrobial response heterogeneity in physiological medium.Lab on a chip · 2025Article
- Epidemiology, mechanisms, and clinical impact of bacterial heteroresistance.npj antimicrobials and resistance · 2025Review
- Metabolic response of Klebsiella oxytoca to ciprofloxacin exposure: a metabolomics approach.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology.Sensors (Basel, Switzerland) · 2024Article
- Growth Independent Morphometric Machine Learning Workflow for Single-Cell Antimicrobial Susceptibility Testing ofFrontiers in imaging (Lausanne, Switzerland) · 2024Article
- Gold Nanoparticle-Based Colorimetric Biosensing for Foodborne Pathogen Detection.Foods (Basel, Switzerland) · 2023Review
- Highly sensitive label-free biosensor: graphene/CaFScientific reports · 2023Article
- Sensing of Antibiotic-Bacteria Interactions.Antibiotics (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Bacterial infections and antimicrobial resistance are a major cause for morbidity and mortality worldwide. Antimicrobial resistance often arises from antimicrobial misuse, where physicians empirically treat suspected bacterial infections with broad-spectrum antibiotics until standard culture-based diagnostic tests can be completed. There has been a tremendous effort to develop rapid diagnostics in support of the transition from empirical treatment of bacterial infections towards a more precise and personalized approach. Single-cell pathogen diagnostics hold particular promise, enabling unprecedented quantitative precision and rapid turnaround times. This Primer provides a guide for assessing, designing, implementing and applying single-cell pathogen diagnostics. First, single-cell pathogen diagnostic platforms are introduced based on three essential capabilities: cell isolation, detection assay and output measurement. Representative results, common analysis methods and key applications are highlighted, with an emphasis on initial screening of bacterial infection, bacterial species identification and antimicrobial susceptibility testing. Finally, the limitations of existing platforms are discussed, with perspectives offered and an outlook towards clinical deployment. This Primer hopes to inspire and propel new platforms that can realize the vision of precise and personalized bacterial infection treatments in the near future.
Identifiers
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.