Evidence map›Paper›PMID 33930062›Full record

ArticlePloS one2021

Real-time gastrointestinal infection surveillance through a cloud-based network of clinical laboratories.

Juliana M Ruzante, Katherine Olin, Breda Munoz, Jeff Nawrocki, Rangaraj Selvarangan, Lindsay Meyers

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  8. Microorganisms · 2023
    Article
  9. The Impact of a Positive BiofireDiagnostics (Basel, Switzerland) · 2023
    Article
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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

6 authors at 3 institutions in 1 country.

Juliana M RuzanteCenter for Environmental Health, Risk and Sustainability, RTI International, Research Triangle Park, North Carolina, United States of America.ORCID 0000-0002-2309-4447
Katherine OlinBiomathematics, BioFire Diagnostics, Salt Lake City, Utah, United States of America.
Breda MunozCenter for Environmental Health, Risk and Sustainability, RTI International, Research Triangle Park, North Carolina, United States of America.
Jeff NawrockiBiomathematics, BioFire Diagnostics, Salt Lake City, Utah, United States of America.
Rangaraj SelvaranganDepartment of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, Missouri, United States of America.
Lindsay MeyersMedical Data Systems, BioFire Diagnostics, Salt Lake City, Utah, United States of America.
BioFire Diagnostics (United States) · USRTI International · USChildren's Mercy Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute gastrointestinal infection (AGI) represents a significant public health concern. To control and treat AGI, it is critical to quickly and accurately identify its causes. The use of novel multiplex molecular assays for pathogen detection and identification provides a unique opportunity to improve pathogen detection, and better understand risk factors and burden associated with AGI in the community. In this study, de-identified results from BioFire® FilmArray® Gastrointestinal (GI) Panel were obtained from January 01, 2016 to October 31, 2018 through BioFire® Syndromic Trends (Trend), a cloud database. Data was analyzed to describe the occurrence of pathogens causing AGI across United States sites and the relative rankings of pathogens monitored by FoodNet, a CDC surveillance system were compared. During the period of the study, the number of tests performed increased 10-fold and overall, 42.6% were positive for one or more pathogens. Seventy percent of the detections were bacteria, 25% viruses, and 4% parasites. Clostridium difficile, enteropathogenic Escherichia coli (EPEC) and norovirus were the most frequently detected pathogens. Seasonality was observed for several pathogens including astrovirus, rotavirus, and norovirus, EPEC, and Campylobacter. The co-detection rate was 10.2%. Enterotoxigenic E. coli (ETEC), Plesiomonas shigelloides, enteroaggregative E. coli (EAEC), and Entamoeba histolytica were detected with another pathogen over 60% of the time, while less than 30% of C. difficile and Cyclospora cayetanensis were detected with another pathogen. Positive correlations among co-detections were found between Shigella/Enteroinvasive E. coli with E. histolytica, and ETEC with EAEC. Overall, the relative ranking of detections for the eight GI pathogens monitored by FoodNet and BioFire Trend were similar for five of them. AGI data from BioFire Trend is available in near real-time and represents a rich data source for the study of disease burden and GI pathogen circulation in the community, especially for those pathogens not often targeted by surveillance.

Indexed as

Cloud ComputingBacteriaClinical Laboratory TechniquesEpidemiological MonitoringFecesGastrointestinal DiseasesHumansUnited StatesViruses

Identifiers

PMID33930062
PMCPMC8087049
OpenAlexW3159363911

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.