Trial reportBMC bioinformatics2013
MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach.
Trial report in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 79 papers, 2 of them syntheses that pooled it.
What it found
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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.
A Blinded, Randomized, Controlled Study to Examine the Bioavailability of Compounds From Different Bean Varieties in Healthy Individuals.
Cross-sectional Cohort Analysis of Plasma Proteomics in Coronary Artery Disease and Plasma Metabolomics in Coronary Artery Disease: Comparative Study Between Patients with Obstructive (≥ 50%), Non-obstructive (< 50%) and No Lesions
Who cites it
79 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A priori sample size determination and power analysis in metabolic phenotyping and integrative metabolomics: an application framework based on a systematic review of literature.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- The Metabolomics of Chronic Pain Conditions: A Systematic Review.Biological research for nursing · 2020Pooled it
- Longitudinal multiomic signatures of ARDS and sepsis inflammatory phenotypes identify pathways associated with mortality.The Journal of clinical investigation · 2026Trial
- Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.Arthritis research & therapy · 2025Trial
- Effects of Zinc Supplementation on Metabolomic Profiles in Tanzanian Infants: A Randomized Trial.The Journal of nutrition · 2024Trial
- Plasma metabolomic response to high-carbohydrate meals of differing glycaemic load in overweight women.European journal of nutrition · 2023Trial
- A red wine intervention does not modify plasma trimethylamine N-oxide but is associated with broad shifts in the plasma metabolome and gut microbiota composition.The American journal of clinical nutrition · 2022Trial
- The Study on the Pathogenesis of Pediatric Lymphoma Based on the Combination of Pseudotargeted and Targeted Metabolomics.BioMed research international · 2021Trial
- Heat-stabilised rice bran consumption by colorectal cancer survivors modulates stool metabolite profiles and metabolic networks: a randomised controlled trial.The British journal of nutrition · 2017Trial
- Trial
- Article
- Arsenic exposure, arsenic metabolism, and plasma lipidome in relation to type 2 diabetes and glycemic traits: a lipidome-wide association study.Journal of advanced research · 2026Article
- Exploring the Early-Life Microbiomes of Preterm Infants and Their Childhood Health Outcomes (The BLOOM Study): Protocol for a Prospective, Observational Cohort Study.JMIR research protocols · 2026Article
- Potential role of bile acids as a microbiome-derived mechanism in synovitis of knee osteoarthritis synovitis.Osteoarthritis and cartilage · 2026Article
- Serum metabolomic signatures and hepcidin levels in early childhood iron deficiency anemia: a case-control study.European journal of pediatrics · 2026Observational
- Alterations in gut microbiota and fecal metabolites in euthyroid autoimmune thyroiditis during early pregnancy.Journal of translational internal medicine · 2026Article
- Artificial intelligence to investigate metabolomics data for precision medicine.Metabolomics : Official journal of the Metabolomic Society · 2026Review
- Benchtop NMR urine metabolomics for diagnosing pulmonary tuberculosis.Scientific reports · 2025Article
- Impact of diet and nutritional status on gingival crevicular fluid metabolome and microbiome in people with type 1 diabetes: a cross-sectional study.Scientific reports · 2025Article
- Longitudinal multi-omic signatures of ARDS and sepsis inflammatory phenotypes identify key pathways associated with mortality.medRxiv : the preprint server for health sciences · 2025Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDetermining sample sizes for metabolomic experiments is important but due to the complexity of these experiments, there are currently no standard methods for sample size estimation in metabolomics. Since pilot studies are rarely done in metabolomics, currently existing sample size estimation approaches which rely on pilot data can not be applied.
resultsIn this article, an analysis based approach called MetSizeR is developed to estimate sample size for metabolomic experiments even when experimental pilot data are not available. The key motivation for MetSizeR is that it considers the type of analysis the researcher intends to use for data analysis when estimating sample size. MetSizeR uses information about the data analysis technique and prior expert knowledge of the metabolomic experiment to simulate pilot data from a statistical model. Permutation based techniques are then applied to the simulated pilot data to estimate the required sample size.
conclusionsThe MetSizeR methodology, and a publicly available software package which implements the approach, are illustrated through real metabolomic applications. Sample size estimates, informed by the intended statistical analysis technique, and the associated uncertainty are provided.
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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.