Evidence map›Paper›PMID 35484129›Full record

ArticleNature communications2022

Metabolic preference assay for rapid diagnosis of bloodstream infections.

Thomas Rydzak, Ryan A Groves, Ruichuan Zhang, Raied Aburashed, Rajnigandha Pushpker, Maryam Mapar, Ian A Lewis

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 45 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

7 authors at 1 institution in 1 country.

Thomas RydzakDepartment of Biological Science, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Ryan A GrovesDepartment of Biological Science, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Ruichuan ZhangDepartment of Biological Science, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Raied AburashedBiomedical Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Rajnigandha PushpkerDepartment of Biological Science, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Maryam MaparDepartment of Biological Science, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Ian A LewisDepartment of Biological Science, University of Calgary, Calgary, AB, T2N 1N4, Canada. Ian.Lewis2@ucalgary.ca.ORCID 0000-0002-5753-499X
University of Calgary · CA

Funding

CIHR 10020019
6 · The paper itself

Abstract

Bloodstream infections (BSIs) cause >500,000 infections and >80,000 deaths per year in North America. The length of time between the onset of symptoms and administration of appropriate antimicrobials is directly linked to mortality rates. It currently takes 2-5 days to identify BSI pathogens and measure their susceptibility to antimicrobials - a timeline that directly contributes to preventable deaths. To address this, we demonstrate a rapid metabolic preference assay (MPA) that uses the pattern of metabolic fluxes observed in ex-vivo microbial cultures to identify common pathogens and determine their antimicrobial susceptibility profiles. In a head-to-head race with a leading platform (VITEK 2, BioMérieux) used in diagnostic laboratories, MPA decreases testing timelines from 40 hours to under 20. If put into practice, this assay could reduce septic shock mortality and reduce the use of broad spectrum antibiotics.

Indexed as

Anti-Infective AgentsSepsisShock, SepticAnti-Bacterial AgentsBiological AssayHumansAnti-Bacterial AgentsAnti-Infective Agents

Identifiers

PMID35484129
PMCPMC9050716
OpenAlexW4225311763

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.