Reviewnpj antimicrobials and resistance2025
Tools and challenges in the use of routine clinical data for antimicrobial resistance surveillance.
Review in npj antimicrobials and resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Enhancing surveillance of foodborne bacteria and antimicrobial resistance using a large centralized laboratory database: Case study of Campylobacter and nontyphoidal Salmonella in Peru.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026Article
- A comprehensive AMR genotype-phenotype database (CABBAGE).Nucleic acids research · 2026Article
- Reimagining antimicrobial resistance: AI-driven predictive epidemiology and the C-AMRE framework for next-generation antibiotic discovery.The Journal of antibiotics · 2026Review
- Antimicrobial Resistance as a Global Public Health Challenge: Epidemiological Burden, Bioethical Dimensions and Emerging Therapeutic Strategies.Infectious disease reports · 2026Review
- Vancomycin resistance in gram-positive infections: evolutionary strategies of survival.Archives of microbiology · 2026Review
- AMRnet: a data visualization platform to interactively explore pathogen variants and antimicrobial resistance.Nucleic acids research · 2026Article
- From burden to action: Saudi Arabia's strategy on antimicrobial resistance.Open medicine (Warsaw, Poland) · 2026Review
- Antimicrobial stewardship at a tertiary center in Portugal: insights from prescribers.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
- Antimicrobial-resistant (AMR) bacteria in the food chain: Current challenges and global mitigation strategies.One health (Amsterdam, Netherlands) · 2025Review
- Mapping the AMR Infection Landscape in Bihar: Implications for Strengthening Policy and Clinical Practice.Antibiotics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Routine clinical microbiology data are widely used for antimicrobial resistance (AMR) surveillance, but data availability and quality vary. In this Perspective, we explore the technical challenges of utilising routine data to inform action at various levels, and summarise emerging open-source technical solutions for hospital-level data collection, aggregation, and sharing. We highlight a need for agreed-upon data standards, and tools that support both facility-level and public health surveillance.
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.