Evidence map›Paper›PMID 32002757›Full record

ReviewDigestive diseases and sciences2020

Tools for Analysis of the Microbiome.

Jessica Galloway-Peña, Blake Hanson

Open access · greenAbstract readReview
In one paragraph

Review in Digestive diseases and sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 3% 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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 175 citations in OpenAlex.

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23 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

2 authors at 2 institutions in 1 country.

Jessica Galloway-PeñaDepartment of Genomic Medicine, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1954, Houston, TX, 77030, USA. jrgalloway@mdanderson.org.
Blake HansonCenter for Antimicrobial Resistance and Microbial Genomics, Division of Infectious Diseases, Department of Internal Medicine, McGovern Medical School, University of Texas Health Sciences Center, Houston, TX, USA.
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · US

Funding

Identifying Risk Factors for Antibiotic Resistance via Integration of Epidemiology and MetagenomicsK01AI143881 · NIAID · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GALLOWAY-PENA, JESSICA RHEA · 2019 to 2023
$545k
NIAID NIH HHS K01 AI143881
6 · The paper itself

Abstract

Over the past decade, it has become exceedingly clear that the microbiome is a critical factor in human health and disease and thus should be investigated to develop innovative treatment strategies. The field of metagenomics has come a long way in leveraging the advances of next-generation sequencing technologies resulting in the capability to identify and quantify all microorganisms present in human specimens. However, the field of metagenomics is still in its infancy, specifically in regard to the limitations in computational analysis, statistical assessments, standardization, and validation due to vast variability in the cohorts themselves, experimental design, and bioinformatic workflows. This review summarizes the methods, technologies, computational tools, and model systems for characterizing and studying the microbiome. We also discuss important considerations investigators must make when interrogating the involvement of the microbiome in health and disease in order to establish robust results and mechanistic insights before moving into therapeutic design and intervention.

Indexed as

AnimalsComputational BiologyHigh-Throughput Nucleotide SequencingHumansMachine LearningMetagenomicsMicrobiotaSequence Analysis, DNAData analysisMetagenomicsMicrobiomeVisualization

Identifiers

PMID32002757
PMCPMC7598837
OpenAlexW3003742251

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.