Evidence map›Paper›PMID 31965839›Full record

ArticleBeneficial microbes2019

N J Nealon, K D Parker, P Lahaie, H Ibrahim, A K Maurya, K Raina, E P Ryan

Abstract read
In one paragraph

Article in Beneficial microbes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 21 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 2 institutions in 1 country.

N J NealonDepartment of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80521, USA.
K D ParkerDepartment of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80521, USA.
P LahaieDepartment of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80521, USA.
H IbrahimDepartment of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80521, USA.
A K MauryaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA.
K RainaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA.
E P RyanDepartment of Environmental and Radiological Health Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80521, USA.
Colorado State University · USUniversity of Colorado Denver · US

Funding

Rice Bran Microbial Metabolism for Colon ChemopreventionR01CA201112 · NCI · COLORADO STATE UNIVERSITY · PI RAINA, KOMAL, RYAN, ELIZABETH P · 2016 to 2020
$1.9M
NCI NIH HHS R01 CA201112
6 · The paper itself

Abstract

This study investigated gut microbiota composition along with food, host, and microbial derived metabolites in the colon and systemic circulation of healthy mice following dietary rice bran and fermented rice bran intake. Adult male BALB/c mice were fed a control diet or one of two experimental diets containing 10% w/w rice bran fermented by

Indexed as

Dietary SupplementsGastrointestinal MicrobiomeMetabolomeAnimalsBifidobacterium longumCecumColonDietDietary FiberFecesFermentationMaleMiceMice, Inbred BALB COryzaDietary Fibercolonfermentationmetabolitesmicrobiomerice bran

Identifiers

PMID31965839
PMCPMC7066528
OpenAlexW2978037786

What OpenQuestion holds

Textmetadata
LicenceTDM
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.