ArticlePloS one2018
Cost-benefit analysis of introducing next-generation sequencing (metagenomic) pathogen testing in the setting of pyrexia of unknown origin.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Assessing anaerobe detection in routine sputum analyses from cystic fibrosis patients.Scientific reports · 2026Article
- Managing Candida auris in dialysis units: challenges, strategies, and future directions.International urology and nephrology · 2025Review
- Fast, cost-effective and flexible DNA sequencing by roll-to-roll fluidics.Nature methods · 2025Article
- Diagnosis and management of invasive fungal diseases by next-generation sequencing: are we there yet?Expert review of molecular diagnostics · 2024Review
- Metagenomic next-generation sequencing in osteoarticular infections with a focus on pediatrics: current concepts and clinical applications.EFORT open reviews · 2023Review
- Lung abscess byOpen life sciences · 2023Article
- Metagenomic Pathogen Sequencing in Resource-Scarce Settings: Lessons Learned and the Road Ahead.Frontiers in epidemiology · 2022Article
- Use of Quantitative Metagenomics Next-Generation Sequencing to Confirm Fever of Unknown Origin and Infectious Disease.Frontiers in microbiology · 2022Review
- High-Throughput Metagenomics for Identification of Pathogens in the Clinical Settings.Small methods · 2021Review
- Evaluations of Clinical Utilization of Metagenomic Next-Generation Sequencing in Adults With Fever of Unknown Origin.Frontiers in cellular and infection microbiology · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pyrexia of unknown origin (PUO) is defined as a temperature of >38.3°C that lasts for >3 weeks, where no cause can be found despite appropriate investigation. Existing protocols for the work-up of PUO can be extensive and costly, motivating the application of recent advances in molecular diagnostics to pathogen testing. There have been many reports describing various analytical methods and performance of metagenomic pathogen testing in clinical samples but the economics of it has been less well studied. This study pragmatically evaluates the feasibility of introducing metagenomic testing in this setting by assessing the relative cost of clinically-relevant strategies employing this investigative tool under various cost and performance scenarios using Singapore as a demonstration case, and assessing the price and performance benchmarks, which would need to be achieved for metagenomic testing to be potentially considered financially viable relative to the current diagnostic standard. This study has some important limitations: we examined only impact of introducing the metagenomic test to the overall diagnostic cost and excluded costs associated with hospitalization and makes assumptions about the performance of the routine diagnostic tests, limiting the cost of metagenomic test, and the lack of further work-up after positive pathogen detection by the metagenomic test. However, these assumptions were necessary to keep the model within reasonable limits. In spite of these, the simplified presentation lends itself to the illustration of the key insights of our paper. In general, we find the use of metagenomic testing as second-line investigation is effectively dominated, and that use of metagenomic testing at first-line would typically require higher rates of detection or lower cost than currently available in order to be justifiable purely as a cost-saving measure. We conclude that current conditions do not warrant a widespread rush to deploy metagenomic testing to resolve any and all uncertainty, but rather as a front-line technology that should be used in specific contexts, as a supplement to rather than a replacement for careful clinical judgement.
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