Evidence map›Paper›PMID 41485164›Full record

ArticleClinical and experimental medicine2026

The dietary index for gut microbiota and risk of advanced cardio-kidney-metabolic syndrome.

Wei Ji, Qie Zhang, Bing Gao, Yaohui Jiang

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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.

Wei JiDepartment of Cardiovascular Surgery Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. 17637190369@163.com.
Qie ZhangDepartment of Cardiology, National Cardiovascular Disease Regional Center for Anhui, the First Affiliated Hospital of Anhui Medical University, Hefei, 230088, Anhui, China.
Bing GaoDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yaohui JiangDepartment of Cardiology, Henan Key Laboratory of Coronary Heart Disease Control & Prevention, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, No. 1 Fuwai Road, Zhengzhou, Henan , China. 15238031073@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a novel dietary assessment tool, the dietary index for gut microbiota (DI-GM) measured food intake patterns that influenced GM balance. The association of DI-GM with advanced cardiovascular-kidney-metabolic syndrome (CKM) remained unclear. We aimed to explore the relationship between DI-GM and the advanced CKM risk. Participants from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018 were included. The DI-GM was defined based on intake levels of 10 beneficial and 4 unfavorable foods. To assess the association of DI-GM with advanced CKM risk, we employed multivariate logistic regression, receiver operating characteristic (ROC) analysis, and weighted quantile sum (WQS) regression. About 13,226 eligible participants were enrolled. Multivariable logistic regression showed that each 1-point increment in the DI-GM and beneficial food scores were associated with a 6% (95% CI: 0.92-0.97) and 7% (95% CI: 0.90-0.97) reduction in advanced CKM risk, respectively. Unfavorable food scores showed no significant association with advanced CKM risk. ROC analysis indicated that compared with the baseline model, the addition of the DI-GM (AUC: 0.743 vs. 0.741; P = 0.013) and the beneficial food scores (AUC: 0.743 vs. 0.741; P = 0.005) significantly improved the discriminatory ability of the baseline model for advanced CKM. WQS regression further identified broccoli, soybeans, fermented dairy products, and dietary fiber as the key dietary components strongly associated with advanced CKM. The DI-GM can function as a promising tool for assessing advanced CKM risk. For the general population, especially individuals with metabolic risk factors, increasing the intake of broccoli, soybeans, fermented dairy products, and dietary fiber may help reduce advanced CKM risk.

Indexed as

Cardio-Renal SyndromeDietGastrointestinal MicrobiomeMetabolic SyndromeAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsROC CurveCardiovascular-kidney-metabolic syndromeDietary index for gut microbiotaGut microbiota

Identifiers

PMID41485164
PMCPMC12769669

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.