Evidence map›Paper›PMID 26653757›Full record

ArticleMicrobiome2015

Simultaneous fecal microbial and metabolite profiling enables accurate classification of pediatric irritable bowel syndrome.

Vijay Shankar, Nicholas V Reo, Oleg Paliy

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Microbiome, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03653689 (Molecular Phenotyping of IBS Subtypes), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.8field-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.

NCT03653689 nacompletednot on this mapstarted 2018, after this paper: background citation

Molecular Phenotyping of IBS Subtypes

TypeinterventionalSponsorUppsala UniversityRan2018 to 2019Enrolled110ConditionsIrritable Bowel SyndromeArmsFODMAP, Gluten, Placebo
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  17. The Gut Microbiome in Adult and Pediatric Functional Gastrointestinal Disorders.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2019
    Review
  18. Review
  19. Review
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

3 authors at 1 institution in 1 country.

Vijay ShankarDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA.
Nicholas V ReoDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA.
Oleg PaliyDepartment of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA. oleg.paliy@wright.edu.
Wright State University · US

Funding

Using Affymetrix Microflora array to study microflora composition in children witR21AT003423 · NCCIH · WRIGHT STATE UNIVERSITY · PI PALIY, OLEG · 2008 to 2009
$395k
Quantitative measurements of intestinal metabolites in healthy and IBS childrenR03HD065575 · NICHD · WRIGHT STATE UNIVERSITY · PI PALIY, OLEG · 2010 to 2011
$143k
NCCIH NIH HHS AT003423NCCIH NIH HHS R21 AT003423NICHD NIH HHS HD065575NICHD NIH HHS R03 HD065575
6 · The paper itself

Abstract

backgroundWe previously showed that stool samples of pre-adolescent and adolescent US children diagnosed with diarrhea-predominant IBS (IBS-D) had different compositions of microbiota and metabolites compared to healthy age-matched controls. Here we explored whether observed fecal microbiota and metabolite differences between these two adolescent populations can be used to discriminate between IBS and health.

findingsWe constructed individual microbiota- and metabolite-based sample classification models based on the partial least squares multivariate analysis and then applied a Bayesian approach to integrate individual models into a single classifier. The resulting combined classification achieved 84 % accuracy of correct sample group assignment and 86 % prediction for IBS-D in cross-validation tests. The performance of the cumulative classification model was further validated by the de novo analysis of stool samples from a small independent IBS-D cohort.

conclusionHigh-throughput microbial and metabolite profiling of subject stool samples can be used to facilitate IBS diagnosis.

Indexed as

AdolescentBayes TheoremChildDNA, BacterialFecesFemaleHumansIrritable Bowel SyndromeMaleMetabolomicsMicrobiotaDNA, Bacterial

Identifiers

PMID26653757
PMCPMC4675077
OpenAlexW2192147642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.