Evidence map›Paper›PMID 33081076›Full record

ArticleMicroorganisms2020

Gut Microbiome in Children from Indigenous and Urban Communities in México: Different Subsistence Models, Different Microbiomes.

Andrés Sánchez-Quinto, Daniel Cerqueda-García, Luisa I Falcón, Osiris Gaona, Santiago Martínez-Correa, Javier Nieto, Isaac G-Santoyo

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

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  20. Of mice and men and women: Sexual dimorphism of the gut microbiome.International journal of women's dermatology · 2021
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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 4 institutions in 1 country.

Andrés Sánchez-QuintoLaboratorio de Ecología Bacteriana, Instituto de Ecología, UNAM, Mexico City 04510, Mexico.ORCID 0000-0002-9896-1015
Daniel Cerqueda-GarcíaConsorcio de Investigación del Golfo de México (CIGOM), Departamento de Recursos del Mar, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Unidad Mérida, Yucatan 97310, Mexico.ORCID 0000-0003-1544-5662
Luisa I FalcónLaboratorio de Ecología Bacteriana, Instituto de Ecología, UNAM, Mexico City 04510, Mexico.
Osiris GaonaLaboratorio de Ecología Bacteriana, Instituto de Ecología, UNAM, Mexico City 04510, Mexico.ORCID 0000-0002-2131-9884
Santiago Martínez-CorreaNeuroecology Lab, Facultad de Psicología, UNAM, Mexico City 04510, Mexico.
Javier NietoLaboratorio de Aprendizaje y Adaptación, Facultad de Psicología, UNAM, Mexico City 04510, Mexico.ORCID 0000-0002-9997-1354
Isaac G-SantoyoNeuroecology Lab, Facultad de Psicología, UNAM, Mexico City 04510, Mexico.ORCID 0000-0002-1484-9836
Universidad Nacional Autónoma de México · MXInstituto Tecnológico de Mérida · MXInstituto de Ecología · MXInstituto Politécnico Nacional · MX

Funding

UNAM-PAPIIT, CONACYT Ciencia Básica, Instituto de Ecología-UNAM 241744, IA209416, IA207019
6 · The paper itself

Abstract

The human gut microbiome is an important component that defines host health. Childhood is a particularly important period for the establishment and development of gut microbiota (GM). We sequenced the 16S rRNA gene from fecal samples of children between 5 and 10 years old, in two Mexican communities with contrasting lifestyles, i.e., "Westernized" (México City,

Indexed as

children’s microbiotadiethuman healthintestinal microbiomelifestylemicrobial diversitynon-WesternizedWesternized

Identifiers

PMID33081076
PMCPMC7602701
OpenAlexW3046128557

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.