Evidence map›Paper›PMID 31225589›Full record

ReviewAdvances in nutrition (Bethesda, Md.)2019

The Role of the Gut Microbiome in Predicting Response to Diet and the Development of Precision Nutrition Models-Part I: Overview of Current Methods.

Riley L Hughes, Maria L Marco, James P Hughes, Nancy L Keim, Mary E Kable

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Riley L HughesDepartments of Nutrition, Food Science and Technology, University of California, Davis, Davis, CA.
Maria L MarcoFood Science and Technology, University of California, Davis, Davis, CA.
James P HughesDepartment of Biostatistics, University of Washington, Seattle, WA.
Nancy L KeimDepartments of Nutrition, Food Science and Technology, University of California, Davis, Davis, CA.
Mary E KableDepartments of Nutrition, Food Science and Technology, University of California, Davis, Davis, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health care is increasingly focused on health at the individual level. In the rapidly evolving field of precision nutrition, researchers aim to identify how genetics, epigenetics, and the microbiome interact to shape an individual's response to diet. With this understanding, personalized responses can be predicted and dietary advice can be tailored to the individual. With the integration of these complex sources of data, an important aspect of precision nutrition research is the methodology used for studying interindividual variability in response to diet. This article stands as the first in a 2-part review of current research investigating the contribution of the gut microbiota to interindividual variability in response to diet. Part I reviews the methods used by researchers to design and carry out such studies as well as the statistical and bioinformatic methods used to analyze results. Part II reviews the findings of these studies, discusses gaps in our current knowledge, and summarizes directions for future research. Taken together, these reviews summarize the current state of knowledge and provide a foundation for future research on the role of the gut microbiome in precision nutrition.

Indexed as

DietNutritional SciencesAnimalsBacteriaBiomedical ResearchEpigenomicsGastrointestinal MicrobiomeHumansModels, StatisticalNutritional StatusPrecision MedicineReproducibility of ResultsResearch Designdietary responseeffect modificationgut microbiomeinterindividual variabilitymetabolismmethodspersonalized nutritionprecision nutritionprediction

Identifiers

PMID31225589
PMCPMC6855943

What OpenQuestion holds

Textmetadata
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.