Evidence map›Paper›PMID 41863660›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Association between the newly introduced Diet Index for Gut Microbiota (DI-GM) and stroke prevalence: potential indirect associations via phenotypic age and body mass index (BMI).

Li Ke, Ying Li, Wenli Xing, Sili Jiang, Lei Zhao

Abstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Li Ke *Department of Cerebrovascular Diseases, Suining Central Hospital, Suining, Sichuan Province, China.
Ying Li *Department of Cerebrovascular Diseases, Suining Central Hospital, Suining, Sichuan Province, China.
Wenli XingDepartment of Cerebrovascular Diseases, Suining Central Hospital, Suining, Sichuan Province, China.
Sili JiangDepartment of Cerebrovascular Diseases, Suining Central Hospital, Suining, Sichuan Province, China. 19130900244@163.com.ORCID http://orcid.org/0009-0007-7427-1363
Lei ZhaoDepartment of Cerebrovascular Diseases, Suining Central Hospital, Suining, Sichuan Province, China. zl20230429@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Diet Index for Gut Microbiota (DI-GM) is a novel measure of this diet-microbiota link, however, evidence regarding its association with stroke remains limited, and the potential indirect association by phenotypic age and body mass index (BMI) are not well characterized.

methodsWe analyzed data from 34,881 participants in the NHANES (1999–2018). The DI-GM was derived from dietary recalls. Weighted multivariable logistic regression assessed its association with stroke, while mediation analyses evaluated the roles of phenotypic age and BMI. Subgroup and restricted cubic spline (RCS) analyses were also performed.

resultsHigher levels of DI-GM and a favorable gut microbiota score were associated with lower stroke prevalence (DI-GM: OR = 0.93, 95% CI = 0.88, 0.98; favorable gut microbiota score: OR = 0.87, 95% CI = 0.82, 0.93). RCS suggested an approximately linear inverse association between DI-GM and stroke prevalence. Indirect association analyses indicated potential indirect associations via phenotypic age (proportion 13.18%, 95% CI 6.74%–39.89%; P = 0.002) and BMI (5.24%, 95% CI 0.85%–15.87%; P = 0.026). No significant interactions were observed across prespecified subgroups.

conclusionsThe DI-GM was negatively associated with stroke prevalence. Mediation analyses suggested statistically significant indirect association by phenotypic age and BMI. In conclusion, there is a need of new research to definitely establish causality and to understand if interventions on diet in order to modify microbiota can really reduce the prevalence of stroke.

Indexed as

Body Mass IndexDietGastrointestinal MicrobiomeStrokeAdultAgedAge FactorsFemaleHumansMaleMiddle AgedNutrition SurveysPhenotypePrevalenceBMIDI-GMNHANESPhenotypic agestroke

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.