ArticleGenes2023
Determination of Effect Sizes for Power Analysis for Microbiome Studies Using Large Microbiome Databases.
Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Effect of a complementary feeding intervention based on iron- and zinc-biofortified pearl millet on the gut microbiota in 12-18-month-old children: a randomized trial.Nature communications · 2026Trial
- Temporal nutrition analysis associates dietary regularity and quality with gut microbiome diversity: insights from the Food & You digital cohort.Nature communications · 2025Trial
- Article
- Salivary estrone and estradiol are associated with oral microbiome profiles in aging women.Journal of oral microbiology · 2026Article
- Bifidobacterium- and Escherichia-dominant ecological guilds shape altered microbial metabolic capacity of the gut microbiome in tuberculosis patients.Frontiers in cellular and infection microbiology · 2026Article
- Biological and technical variability in mouse microbiota analysis and implications for sample size determination.Lab animal · 2026Article
- SANA-Biome: A Protocol for a Cross-Sectional Study on Oral Health, Diet, and the Oral Microbiome in Romania.Healthcare (Basel, Switzerland) · 2025Article
- Comparative gut microbiome research through the lens of ecology: theoretical considerations and best practices.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Article
- Article
- Analysis of metagenomic data.Nature reviews. Methods primers · 2025Article
- Semisynthetic simulation for microbiome data analysis.Briefings in bioinformatics · 2024Review
- Biogeographic patterns and drivers of soil viromes.Nature ecology & evolution · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Herein, we present a tool called Evident that can be used for deriving effect sizes for a broad spectrum of metadata variables, such as mode of birth, antibiotics, socioeconomics, etc., to provide power calculations for a new study. Evident can be used to mine existing databases of large microbiome studies (such as the American Gut Project, FINRISK, and TEDDY) to analyze the effect sizes for planning future microbiome studies via power analysis. For each metavariable, the Evident software is flexible to compute effect sizes for many commonly used measures of microbiome analyses, including α diversity, β diversity, and log-ratio analysis. In this work, we describe why effect size and power analysis are necessary for computational microbiome analysis and show how Evident can help researchers perform these procedures. Additionally, we describe how Evident is easy for researchers to use and provide an example of efficient analyses using a dataset of thousands of samples and dozens of metadata categories.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.