ArticleJournal of clinical microbiology2023
Direct prediction of carbapenem resistance in
Article in Journal of clinical microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Global trends in carbapenem-resistant gram-negative bacteria research (2020-2025): a bibliometric analysis and systematic review.Frontiers in cellular and infection microbiology · 2025Pooled it
- Clinical Value of Metagenomic Next-Generation Sequencing in Early Diagnosis of Peritoneal Dialysis-Associated Peritonitis: A Randomised Controlled Observational Trial.Nephrology (Carlton, Vic.) · 2025Trial
- The application of the CRISPR-Cas system in Pseudomonas aeruginosa infections.Molecular biology reports · 2026Review
- Optimisation and validation of capture mNGS for predicting antimicrobial resistance.EBioMedicine · 2026Article
- AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction.Nature communications · 2026Article
- Evaluation of a machine learning system for genomic antimicrobial susceptibility determination on a clinically representative test set.Microbiology spectrum · 2026Article
- Early risk stratification for carbapenem resistance amongFrontiers in cellular and infection microbiology · 2026Article
- Genotypic and phenotypic strategies to detect antibiotic resistance in foodborne pathogens along the food processing chain.Current research in food science · 2026Review
- Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions forMicrobiology spectrum · 2025Article
- Genomic and machine learning approaches to predict antimicrobial resistance inMicrobiology spectrum · 2025Article
- Rapid prediction of antibiotic resistance inmSystems · 2025Article
- Shotgun Metagenomic Sequencing Analysis as a Diagnostic Strategy for Patients with Lower Respiratory Tract Infections.Microorganisms · 2025Article
- Performance and hypothetical clinical impact of an mNGS-based machine learning model for antimicrobial susceptibility prediction of five ESKAPEE bacteria.Microbiology spectrum · 2025Article
- Streamlining whole genome sequencing for clinical diagnostics with ONT technology.Scientific reports · 2025Article
- Host DNA depletion assisted metagenomic sequencing of bronchoalveolar lavage fluids for diagnosis of pulmonary tuberculosis.Annals of clinical microbiology and antimicrobials · 2025Article
- Global trends in the application of nanopore sequencing technology in the detection of infectious disease pathogens: a bibliometric analysis from 2014 to 2024.Frontiers in medicine · 2025Article
- Analysis of microorganisms and drug-resistance mutations detected by probe-capture metagenomics among HIV-infected patients with pneumonia.Frontiers in microbiology · 2025Article
- Targeted Next-Generation Sequencing in Pneumonia: Applications in the Detection of Responsible Pathogens, Antimicrobial Resistance, and Virulence.Infection and drug resistance · 2025Article
- The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review.Antibiotics (Basel, Switzerland) · 2024Review
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
Abstract
Carbapenem resistance is a major concern in the management of antibiotic-resistant
Indexed as
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.