ArticleFood science & nutrition2025
Association of the Dietary Index for Gut Microbiota and Cardiovascular-Kidney-Metabolic Syndrome: The Mediation Effect of Phenotypic and Biological Age Acceleration, BMI, and BRI.
Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Emerging multidimensional biomarker system for cardiovascular-kidney-metabolic syndrome: from multi-omics integration to clinical artificial intelligence.Cardiovascular diabetology · 2026Review
- A narrative review of dietary patterns in cardiovascular-kidney-metabolic syndrome.Frontiers in nutrition · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relationship between gut microbiota, diet, and cardiovascular-kidney-metabolic (CKM) health has attracted attention. However, the relationship between the dietary index for gut microbiota (DI-GM) and CKM syndrome has not yet been studied. Patients diagnosed with CKM syndrome from the NHANES 2007-2018 data were included. Dietary recall data were used to calculate DI-GM. Restricted cubic splines (RCS) were employed to explore nonlinear relationships and determine the threshold for DI-GM. The relationship between DI-GM and CKM syndrome was analyzed using weighted logistic regression. Further, potential mediating roles of phenotype age acceleration (PAA), biological age acceleration (BAA), body mass index (BMI), and body roundness index (BRI) were explored. Sensitivity analysis using inverse probability of treatment weighting (IPTW) was also conducted. A total of 7252 participants were included, with the high DI-GM group as the reference. In the crude model, the risk of CKM syndrome in the low DI-GM group was significantly higher (OR = 1.27, 95% CI = 1.09, 1.49,
Indexed as
Identifiers
What Socratic 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 Socratic graph.