Evidence map›Paper›PMID 39524216›Full record

ArticleCurrent developments in nutrition2024

Holistic Evaluation of the Gut Microbiota through Data Envelopment Analysis: A Cross-Sectional Study.

Taizo Matsuki, Sho Nakamura, Minami Nishiyama, Hiroto Narimatsu

Abstract read
In one paragraph

Article in Current developments in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Taizo MatsukiGraduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan.
Sho NakamuraGraduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan.
Minami NishiyamaGraduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan.
Hiroto NarimatsuGraduate School of Health Innovation, Kanagawa University of Human Services, Tonomachi, Kawasaki-ku, Kawasaki, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The gut microbiome plays a crucial role in human health, but maintaining a healthy gut microbiome remains challenging. Current approaches often focus on individual components rather than providing a holistic assessment. Objectives: To introduce and evaluate a novel approach using data envelopment analysis (DEA) for assessing gut microbiota efficiency and identifying potential targets for personalized interventions. Methods: We conducted a cross-sectional analysis of 577 participants from the Kanagawa "ME-BYO" Prospective Cohort Study. Lifestyle factors and gut microbiota composition were assessed. DEA was employed to calculate an efficiency score for each participant, incorporating multiple inputs (lifestyle factors) and outputs (gut microbiotas). This score represents how efficiently an individual's lifestyle factors contribute to their gut microbiota composition. Tobit regression analysis was used to assess associations between efficiency scores and demographic and health-related factors. Results: The mean efficiency score was 0.86, with 14.2% of participants classified as efficient. Efficiency scores showed positive correlations with alcohol intake and Faith's phylogenetic diversity. Tobit regression analysis revealed significant associations between efficiency scores and sex, fat intake, and yogurt consumption. DEA identified specific targets for improving gut microbiota composition in inefficient individuals. Conclusions: This study demonstrates the potential of DEA as a tool for evaluating gut microbiota efficiency and providing personalized recommendations for microbiota optimization. This approach could lead to more effective strategies for optimizing gut health across diverse populations.

Indexed as

cross-sectional studiesdata envelopment analysisgastrointestinal tracthealth behaviormicrobiotapersonalized intervention

Identifiers

PMID39524216
PMCPMC11550754

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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.