Evidence map›Paper›PMID 40396178›Full record

ArticleFrontiers in immunology2025

Microbiota-friendly diet ameliorates hypoalbuminemia in chronic kidney disease: evidence from NHANES.

Xiaoyan Wang, Pengfei Wen, Fang Gao, JinXiu Zhao, Shuchuan Miao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. ThickFrontiers in cellular and infection microbiology · 2025
    Article
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

5 authors.

Xiaoyan Wang *Department of Clinical Nutrition, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Pengfei Wen *Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China.
Fang GaoDepartment of Nephrology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
JinXiu ZhaoDepartment of Vascular Surgery, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Shuchuan MiaoDepartment of Neurosurgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a global health issue, affecting approximately 10% of the population. Hypoalbuminemia, a common complication in advanced CKD, is associated with poor prognosis. This study aimed to investigate the association between a microbiota-friendly dietary scoring system (Dietary Index for Gut Microbiota, DI-GM) and serum albumin levels in patients with CKD. We utilized a cross-sectional cohort from the NHANES 2007-2018, which included 2,947 CKD patients. Multivariable logistic regression and restricted cubic spline models were applied to analyze the relationship between DI-GM scores and serum albumin. Higher DI-GM scores were significantly associated with increased serum albumin levels (β = 0.18 g/L, 95% CI: 0.07-0.28, p = 0.002). Furthermore, each 1-point increase in DI-GM score was linked to a 15% reduction in the odds of hypoalbuminemia (OR: 0.85, 95% CI: 0.74-0.97, p = 0.014). The findings suggest that a high DI-GM diet may have beneficial effects in managing hypoalbuminemia in CKD patients by modulating gut microbiota composition and reducing inflammation. This diet pattern could be a promising dietary intervention for improving clinical outcomes in CKD patients, especially those at risk for malnutrition and inflammation.

Indexed as

DietGastrointestinal MicrobiomeHypoalbuminemiaRenal Insufficiency, ChronicAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysSerum AlbuminSerum AlbuminCKDdietary index for gut microbiotadietary patternhypoalbuminemiaserum albumin

Identifiers

PMID40396178
PMCPMC12088941

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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.