Evidence map›Paper›PMID 32158702›Full record

ArticleFrontiers in cellular and infection microbiology2020

Gut Microbiome Profiles Are Associated With Type 2 Diabetes in Urban Africans.

Ayo P Doumatey, Adebowale Adeyemo, Jie Zhou, Lin Lei, Sally N Adebamowo, Clement Adebamowo, Charles N Rotimi

Open access · goldFull text read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 5 pooled it
7.7field-weighted citation impact, top 2% 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

113 citing papers in PubMed, 5 syntheses or guidelines pooled it, 153 citations in OpenAlex.

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53 more citing papers are in PubMed but not listed here.

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 4 institutions in 2 countries.

Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.
Adebowale AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.
Jie ZhouCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.
Lin LeiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.
Sally N AdebamowoDepartment of Epidemiology and Public Health and Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, United States.
Clement AdebamowoDepartment of Epidemiology and Public Health and Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, United States.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.
National Institutes of Health · USNational Human Genome Research Institute · USU-M Rogel Cancer CenterUniversity of Ibadan · NG

Funding

MINORITY INTERNATIONAL RESEARCH TRAINING GRANTT37TW000041 · FIC · HOWARD UNIVERSITY · PI ADAMS-CAMPBELL, LUCILE L · 1993 to 1998
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FIC NIH HHS T37 TW000041
6 · The paper itself

Abstract

Gut dysbiosis has been associated with several disease outcomes including diabetes in human populations. Currently, there are no studies of the gut microbiome composition in relation to type 2 diabetes (T2D) in Africans. Here, we describe the profile of the gut microbiome in non-diabetic adults (controls) and investigate the association between gut microbiota and T2D in urban West Africans. Gut microbiota composition was determined in 291 Nigerians (98 cases, 193 controls) using fecal 16S V4 rRNA gene sequencing done on the Illumina MiSeq platform. Data analysis of operational taxonomic units (OTU) was conducted to describe microbiome composition and identify differences between T2D and controls. The most abundant phyla were

Indexed as

Gastrointestinal MicrobiomeActinobacteriaBacillotaBacteroidetesBlack PeopleCase-Control StudiesDiabetes Mellitus, Type 2DysbiosisFemaleHumansHypoglycemic AgentsMaleMetforminMiddle AgedNigeriaUrban HealthHypoglycemic AgentsMetformin16S V4 rRNA sequencinggut microbiomemicrobial compositiontype 2 diabetesurban Africans

Identifiers

PMID32158702
PMCPMC7052266
OpenAlexW3006731180

What OpenQuestion holds

Textfull text, public
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.