Evidence map›Paper›PMID 33747038›Full record

ArticleFrontiers in genetics2021

Toward Accurate and Robust Environmental Surveillance Using Metagenomics.

Jiaxian Shen, Alexander G McFarland, Vincent B Young, Mary K Hayden, Erica M Hartmann

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 52 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Jiaxian ShenDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, United States.
Alexander G McFarlandDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, United States.
Vincent B YoungDivision of Infectious Diseases, Department of Internal Medicine, The University of Michigan Medical School, Ann Arbor, MI, United States.
Mary K HaydenDivision of Infectious Diseases, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, United States.
Erica M HartmannDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, United States.
Northwestern University · USRush University Medical Center · USUniversity of Michigan–Ann Arbor · US

Funding

Technology CoreU19AI135964 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALAN R HAUSER · 2018 to 2026
$24.7M
NCEZID CDC HHS U54 CK000481NCEZID CDC HHS U54 CK000607NIAID NIH HHS U19 AI135964
6 · The paper itself

Abstract

Environmental surveillance is a critical tool for combatting public health threats represented by the global COVID-19 pandemic and the continuous increase of antibiotic resistance in pathogens. With its power to detect entire microbial communities, metagenomics-based methods stand out in addressing the need. However, several hurdles remain to be overcome in order to generate actionable interpretations from metagenomic sequencing data for infection prevention. Conceptually and technically, we focus on viability assessment, taxonomic resolution, and quantitative metagenomics, and discuss their current advancements, necessary precautions and directions to further development. We highlight the importance of building solid conceptual frameworks and identifying rational limits to facilitate the application of techniques. We also propose the usage of internal standards as a promising approach to overcome analytical bottlenecks introduced by low biomass samples and the inherent lack of quantitation in metagenomics. Taken together, we hope this perspective will contribute to bringing accurate and consistent metagenomics-based environmental surveillance to the ground.

Indexed as

environmental surveillancelimit of detectionmetagenomicsquantitative metagenomicstaxonomic resolutionviability

Identifiers

PMID33747038
PMCPMC7973286
OpenAlexW3134235322

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.