Evidence map›Paper›PMID 29664913›Full record

ArticlePloS one2018

Cost-benefit analysis of introducing next-generation sequencing (metagenomic) pathogen testing in the setting of pyrexia of unknown origin.

Jia Hui Chai, Chun Kiat Lee, Hong Kai Lee, Nicholas Wong, Kahwee Teo, Chuen Seng Tan, Praveen Thokala, Julian Wei-Tze Tang, Paul Anantharajah Tambyah, Vernon Min Sen Oh and 2 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Lung abscess byOpen life sciences · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jia Hui ChaiSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Chun Kiat LeeDepartment of Laboratory Medicine, National University Hospital, Singapore, Singapore.
Hong Kai LeeDepartment of Laboratory Medicine, National University Hospital, Singapore, Singapore.
Nicholas WongDepartment of Clinical Microbiology, University Hospital of Leicester NHS Trust, Leicester, United Kingdom.
Kahwee TeoDepartment of Paediatrics, University Hospital of Leicester NHS Trust, Leicester, United Kingdom.
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Praveen ThokalaHealth Economics and Decision Science, School of Health and Related Research, The University of Sheffield, Sheffield, United Kingdom.
Julian Wei-Tze TangDepartment of Clinical Microbiology, University Hospital of Leicester NHS Trust, Leicester, United Kingdom.
Paul Anantharajah TambyahDepartment of Medicine, National University of Singapore, Singapore, Singapore.
Vernon Min Sen OhDepartment of Medicine, National University of Singapore, Singapore, Singapore.
Tze Ping LohDepartment of Laboratory Medicine, National University Hospital, Singapore, Singapore.ORCID 0000-0002-4272-0001
Joanne YoongSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cost-Benefit AnalysisBacteriaFeverHigh-Throughput Nucleotide SequencingHumansMetagenomics

Identifiers

PMID29664913
PMCPMC5903630

What OpenQuestion holds

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Registered trials

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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.