Evidence map›Paper›PMID 29696481›Full record

ArticleDigestive diseases and sciences2018

The Distribution of Enteric Infections Utilizing Stool Microbial Polymerase Chain Reaction Testing in Clinical Practice.

Jordan E Axelrad, Andrew Joelson, Yael Nobel, Susan Whittier, Garrett Lawlor, Mark S Riddle, Peter H R Green, Benjamin Lebwohl

Abstract read
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In one paragraph

Article in Digestive diseases and sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  7. Multicenter evaluation of the new QIAstat Gastrointestinal Panel for the rapid syndromic testing of acute gastroenteritis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    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

8 authors.

Jordan E AxelradDivision of Digestive and Liver Disease, Department of Medicine, Columbia University Medical Center, 180 Fort Washington Avenue, Suite 936, New York, NY, 10032, USA.
Andrew JoelsonDivision of Digestive and Liver Disease, Department of Medicine, Columbia University Medical Center, 180 Fort Washington Avenue, Suite 936, New York, NY, 10032, USA.
Yael NobelDivision of Digestive and Liver Disease, Department of Medicine, Columbia University Medical Center, 180 Fort Washington Avenue, Suite 936, New York, NY, 10032, USA.
Susan WhittierDepartment of Microbiology, Columbia University Medical Center, New York, NY, USA.
Garrett LawlorDivision of Digestive and Liver Disease, Department of Medicine, Columbia University Medical Center, 180 Fort Washington Avenue, Suite 936, New York, NY, 10032, USA.
Mark S RiddleDepartment of Preventive Medicine and Biostatistics, Uniformed Services University, Bethesda, MD, USA.
Peter H R GreenDivision of Digestive and Liver Disease, Department of Medicine, Columbia University Medical Center, 180 Fort Washington Avenue, Suite 936, New York, NY, 10032, USA.
Benjamin LebwohlDivision of Digestive and Liver Disease, Department of Medicine, Columbia University Medical Center, 180 Fort Washington Avenue, Suite 936, New York, NY, 10032, USA. BL114@columbia.edu.

Funding

Multidisciplinary Training in Translational Gastrointestinal and Liver ResearchT32DK083256 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Timothy Cragin Wang · 2009 to 2026
$5.5M
NIDDK NIH HHS T32 DK083256
6 · The paper itself

Abstract

backgroundGastrointestinal infection is a major cause of morbidity. We sought to characterize the pathogenic etiologies of gastrointestinal infection to identify seasonal patterns and predictors of specific infections utilizing a multiplex PCR assay in clinical practice.

methodsWe performed a cross-sectional study of 9403 patients who underwent 13,231 stool tests with a FilmArray gastrointestinal pathogen PCR panel during an episode of diarrhea from March 2015 to May 2017. Our primary outcome was the presence of a positive panel. Logistic regression was used to test for associations between season and infections.

resultsA positive result was found in 3426 tests (25.9%) in 2988 patients (31.8%), yielding 4667 pathogens consisting of 1469 viruses (31.5%), 2925 bacteria (62.7%), and 273 parasites (5.8%). Age less than 50 years was associated with a higher prevalence of pathogens compared to age ≥ 50 (p < 0.0001). The overall prevalence of a positive result for bacteria peaked in the summer (635, 29.2%), and the prevalence of viruses peaked in the winter (446, 31.8%). Compared to the winter, testing in the summer yielded a higher prevalence of bacteria (OR 1.52, 95% CI 1.33, 1.73, p < 0.0001) and lower odds of viruses (OR 0.69, 95% CI 0.58, 0.81, p < 0.0001), primarily driven by E. coli species and norovirus.

conclusionsSeason was a major determinant in detecting specific pathogens. Our substantially lower positivity rate than previous reports in the literature on multiplex PCR assays may more accurately reflect true clinical practice. Recognizing the temporal distribution of enteric pathogens may help facilitate empiric treatment decisions in certain clinical situations.

Indexed as

FecesIntestinesMultiplex Polymerase Chain ReactionAdolescentAdultAgedBacterial InfectionsChi-Square DistributionCross-Sectional StudiesEnteritisFemaleHumansIntestinal Diseases, ParasiticLogistic ModelsMaleMiddle AgedDiarrheaEnteric infectionGastroenteritisMultiplex PCRSeasonality

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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.