SynthesisMicrobial genomics2023
A systematic review of economic evaluations of whole-genome sequencing for the surveillance of bacterial pathogens.
Synthesis in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses 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
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Surveillance of antibiotic-resistant bacteria integrating whole genome sequencing and epidemiological information - a global, systematic review, 2012-2023.Antimicrobial resistance and infection control · 2026Pooled it
- A systematic review of machine learning on clinical MALDI-TOF MS.Briefings in bioinformatics · 2026Pooled it
- Resolution of MALDI-TOF MS compared to whole genome sequencing for the identification of Vibrio parahaemolyticus strains isolated from oysters.Archives of microbiology · 2026Article
- KEGG orthology-based machine learning reveals functional determinants of antimicrobial resistance inMicrobiology spectrum · 2026Article
- Public and patient involvement: exploring public partnership in pathogen whole-genome sequencing research and its data visualisation.Microbial genomics · 2026Article
- Genome sequencing for prevention of health-care-associated bacterial infections.Nature reviews. Microbiology · 2026Review
- Evaluating the use of whole-genome sequencing and SangerJournal of medical microbiology · 2026Article
- Real-Time Genomic Surveillance for Enhanced Healthcare Outbreak Detection and Control: Clinical and Economic Impact.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Article
- Evaluation of Oxford Nanopore Technologies workflows for genomic epidemiology of outbreak-associated bacterial isolates in the clinical setting.Microbial genomics · 2026Article
- Implementation and outcomes of a rapid response genomic hospital epidemiology programme at an academic medical centre over 7 years.The Lancet. Microbe · 2026Review
- Benchmarking Illumina and Oxford Nanopore Technologies (ONT) sequencing platforms for whole genome sequencing of bacterial genomes and use in clinical microbiology.BMC medical genomics · 2026Article
- Interpreting antimicrobial resistance from bacterial whole-genome sequencing: prediction tools, database fragmentation, analytical trade-offs, and harmonized reporting.Frontiers in microbiology · 2026Review
- Antibiotic resistance inFrontiers in microbiology · 2026Review
- Methods for cost-efficient, whole genome sequencing surveillance for enhanced detection of outbreaks in a hospital setting.PloS one · 2026Article
- Comparative Evaluation of Sequencing Technologies for Detecting Antimicrobial Resistance in Bloodstream Infections.Antibiotics (Basel, Switzerland) · 2025Review
- Methods for cost-efficient, whole genome sequencing surveillance for enhanced detection of outbreaks in a hospital setting.medRxiv : the preprint server for health sciences · 2025Article
- Genomic typing, antimicrobial resistance gene, virulence factor and plasmid replicon database for the important pathogenic bacteria Staphylococcus aureus.BMC genomic data · 2025Article
- Leveraging illumina iSeq100 for whole genome sequencing of Salmonella Typhi for a resource-limited setting.Scientific reports · 2025Article
- Current Methods for Reliable Identification of Species in theMicroorganisms · 2025Review
- Whole-genome sequencing surveillance of vancomycin-resistantInfection control and hospital epidemiology · 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
7 authors.
Funding
Abstract
Whole-genome sequencing (WGS) has unparalleled ability to distinguish between bacteria, with many public health applications. The generation and analysis of WGS data require significant financial investment. We describe a systematic review summarizing economic analyses of genomic surveillance of bacterial pathogens, reviewing the evidence for economic viability. The protocol was registered on PROSPERO (CRD42021289030). Six databases were searched on 8 November 2021 using terms related to 'WGS', 'population surveillance' and 'economic analysis'. Quality was assessed with the Drummond-Jefferson checklist. Following data extraction, a narrative synthesis approach was taken. Six hundred and eighty-one articles were identified, of which 49 proceeded to full-text screening, with 9 selected for inclusion. All had been published since 2019. Heterogeneity was high. Five studies assessed WGS for hospital surveillance and four analysed foodborne pathogens. Four were cost-benefit analyses, one was a cost-utility analysis, one was a cost-effectiveness analysis, one was a combined cost-effectiveness and cost-utility analysis, one combined cost-effectiveness and cost-benefit analyses and one was a partial analysis. All studies supported the use of WGS as a surveillance tool on economic grounds. The available evidence supports the use of WGS for pathogen surveillance but is limited by marked heterogeneity. Further work should include analysis relevant to low- and middle-income countries and should use real-world effectiveness data.
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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.