ArticleMicroorganisms2020
Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program.
Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled 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.
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
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of Food-Based Weight Loss Interventions on Gut Microbiome in Individuals with Obesity: A Systematic Review.Nutrients · 2022Pooled it
- Weight Loss and Omega-3 Supplementation Modulate the Microbiome in Women with Increased Breast Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2026Trial
- Effect of ancient Khorasan wheat on gut microbiota, inflammation, and short-chain fatty acid production in patients with fibromyalgia.World journal of gastroenterology · 2022Trial
- Divergent jejunal cis- and trans-eQTLs and their microbiome associations following a diet lacking mineral phosphorus supplements in laying hens.BMC genomics · 2026Article
- The Effects of Breeding Methods on Cecal Microflora and Production Traits of Yimeng Black Goats.Animals : an open access journal from MDPI · 2026Article
- The Role of Gut Microbiome in Obesity and Weight Management: A Review of Current Evidence and Future Directions.Food science & nutrition · 2026Review
- Dietary fat disrupts a commensal-host lipid network that promotes metabolic health.Cell metabolism · 2026Article
- Article
- Long-term body mass index trajectories and dyslipidemia and related gut microbial features: results from the China health and nutrition survey 1991-2018.BMC public health · 2025Article
- Red meat consumption in higher healthy eating index diets is associated with brain health critical nutritional adequacy, and fecal microbial diversity.Scientific reports · 2025Article
- Article
- Multi-trajectories of BMI, waist circumference, gut microbiota, and incident dyslipidemia: a 27-year prospective study.mSystems · 2025Article
- Survey of gut microbial biogeography and their functional niche in the grow-finishing swine of ordinary feeding.Frontiers in microbiology · 2025Article
- Article
- Genetically predicted blood metabolites mediate relationships between gut microbiota and ovarian cancer: a Mendelian randomization study.Frontiers in cellular and infection microbiology · 2024Article
- A Keystone Gut BacteriumFoods (Basel, Switzerland) · 2023Review
- Gut microbiota Turicibacter strains differentially modify bile acids and host lipids.Nature communications · 2023Article
- Gut Microbiota and Serum Metabolome in Elite Cross-Country Skiers: A Controlled Study.Metabolites · 2022Article
- Effects of caloric restriction on the gut microbiome are linked with immune senescence.Microbiome · 2022Article
- Low-Dose Interleukin-2 Altered Gut Microbiota and Ameliorated Collagen-Induced Arthritis.Journal of inflammation research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Retail programs offer popular weight-loss options amid the ongoing obesity crisis. However, research on weight-loss outcomes within such programs is limited. This prospective-cohort observational study enrolled 58 men and women between ages 20 and 72 years from a retail program to assess the influence of client features on energy-restriction induced weight-loss response. DESeq2 in R-studio, a linear regression model adjusting for significantly correlating covariates, and Wilcoxon signed-rank and Kruskal-Wallis for within- and between-group differences, respectively, were used for data analyses. An average 10% (~10 kg) reduction in baseline-weight along with lower total-, android-, gynoid-, and android:gynoid-fat were observed at Week 12 (all,
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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 Socratic graph.