Evidence map›Paper›PMID 41601895›Full record

ReviewFrontiers in nutrition2025

Linking dietary patterns to Alzheimer's disease biomarkers with network mathematical modeling could enable new approach methodologies in preventative AD research: a narrative interdisciplinary review.

Travis B Thompson, Andrew C Shin, Boris Decourt, Yifan Wang, Bradley Z Vigil, Anna Solodukhina, Shakkya Ranasinghe, Robert S Young, Vijay Hegde, Naima Moustaïd-Moussa

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2025. 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

10 authors.

Travis B ThompsonInstitute for One Health Innovation, Texas Tech University System, Lubbock, TX, United States.
Andrew C ShinInstitute for One Health Innovation, Texas Tech University System, Lubbock, TX, United States.
Boris DecourtInstitute for One Health Innovation, Texas Tech University System, Lubbock, TX, United States.
Yifan WangDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, TX, United States.
Bradley Z VigilDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, TX, United States.
Anna SolodukhinaDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, TX, United States.
Shakkya RanasingheDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, TX, United States.
Robert S YoungDepartment of Mathematics and Statistics, Texas Tech University, Lubbock, TX, United States.
Vijay HegdeInstitute for One Health Innovation, Texas Tech University System, Lubbock, TX, United States.
Naima Moustaïd-MoussaInstitute for One Health Innovation, Texas Tech University System, Lubbock, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a significant global health concern. With no reliable pharmaceutical treatments on the horizon, the best path forward is preventative. Dietary patterns are related to one third of AD risk factors and have long been thought to influence the onset or the progression of AD. Studies of the preventative possibilities of diet on AD offer the prospect of helping to suppress AD prevalence until effective pharmaceutical interventions are discovered but can be challenging due to variations, duration, cost or ethical considerations presented by human and animal studies. At the same time, the National Institutes of Health and the Food and Drug Administration are encouraging

Indexed as

Alzheimer's diseasedietmathematical modelingnetwork neurodegenerationnutrition

Identifiers

PMID41601895
PMCPMC12832540

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.