Evidence map›Paper›PMID 36728425›Full record

ArticleJournal of clinical microbiology2023

Clinical Metagenomics for Infectious Diseases: Progress toward Operational Value.

David C Gaston

Abstract readComment
In one paragraph

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  14. Which trial do we need? Plasma metagenomic next-generation sequencing to diagnose infections in patients with haematological malignancies and febrile neutropenia: proposal for a randomized-controlled trial.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023
    Article
  15. Article
  16. Tri-layer microbiology for LMIC Hospitals: linking syndromic panels with reflex culture and targeted sequencing for real world care - a narrative review.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

David C GastonDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-7320-5635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of clinical metagenomics for infectious disease diagnostics has advanced to combining questions of technical methodologies with best-use practices due to lowering barriers of implementation. This commentary identifies challenges facing further development of the field and proposes methods for advancement by highlighting a recent prospective pilot study evaluating a targeted metagenomic approach for infectious endocarditis. This commentary introduces the concept of operational value as a method for standardizing results generated by differing clinical metagenomic approaches. Operational value includes assessments of result quality, utility, and cost through incorporating methodological aspects of metagenomics as applied to various infectious syndromes, patient populations, and specimen types. Focus is placed on standardizing outcome-based metrics using an operational value matrix. As ambitions of clinical metagenomics are increasingly realized, new models of study design and collaboration could promote progress toward routine use and positive benefits for patients with infectious diseases.

Indexed as

Communicable DiseasesMetagenomicsHigh-Throughput Nucleotide SequencingHumansMetagenomePilot Projectsbest-use practicesimplementationnext-generation sequencingqualityvalue

Identifiers

PMID36728425
PMCPMC9945490

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.