Evidence map›Paper›PMID 41100086›Full record

Trial reportJAMA network open2025

Sodium Reduction Program Incorporating Genetic Profile and an AI-Based App: A Randomized Clinical Trial.

Koryu Sato, Kosuke Inoue, Taihei Yamaguchi, Maiko Yagi, Masashi Ebisawa, Shinichiro Mizuno, Tomoko Yanagisawa, Nana Akiyama, Koichi Node, Naoki Kondo and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Koryu SatoFaculty of Policy Management, Keio University, Kanagawa, Japan.
Kosuke InoueDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Taihei YamaguchiInnovation Laboratory, Next Business Development Division, Toshiba Corporation, Tokyo, Japan.
Maiko YagiInnovation Laboratory, Next Business Development Division, Toshiba Corporation, Tokyo, Japan.
Masashi EbisawaInnovation Laboratory, Next Business Development Division, Toshiba Corporation, Tokyo, Japan.
Shinichiro MizunoDepartment of Research & Development, Wellmira Inc, Tokyo, Japan.
Tomoko YanagisawaDepartment of Research & Development, Wellmira Inc, Tokyo, Japan.
Nana AkiyamaDepartment of Clinical Genomics, The University of Tokyo Hospital, Tokyo, Japan.
Koichi NodeDepartment of Cardiovascular Medicine, Saga University, Saga, Japan.
Naoki KondoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Toshi A FurukawaOffice of Institutional Advancement and Communications, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Excess salt intake is a major modifiable risk factor for hypertension and cardiovascular disease. Personalized interventions using genetic information and digital tools, such as smartphone applications, may enhance sodium reduction, but evidence remains limited. Objective: To evaluate the effectiveness of a sodium reduction program incorporating a genetic profile and an artificial intelligence (AI)-based mobile app among adults with elevated blood pressure and a sodium-sensitive genotype. Design, Setting, and Participants: A 3-arm randomized clinical trial, conducted at a Japanese electronics company from September 17 to December 16, 2024, included employees aged 20 to 65 years with elevated blood pressure and the sodium-sensitive AGT M235T genotype. Interventions: Participants were randomized on a 1:1:0.2 basis to (1) a treatment group receiving a genetic profile and an AI-based app incorporating sodium-specific information; (2) a control group receiving no intervention; or (3) an app-only group using the app without a genetic profile or information. Main Outcomes and Measures: The primary outcome was daily salt intake, estimated from spot urine samples using the INTERSALT (International Study of Electrolyte Excretion and Blood Pressure) formula. Secondary outcomes included self-reported body mass index, behavior change intentions, and systolic and diastolic blood pressure. Analysis was performed on an intention-to-treat basis. Results: Of 312 randomized participants, 289 completed follow-up (mean [SD] age, 51.3 [8.3] years; 252 of 279 men [90.3%]). The mean (SD) baseline salt intake was 11.3 (2.0) g/d. At 3 months, no significant difference in salt intake was observed between the treatment and control groups (mean difference, -0.2 g/d; 95% CI, -0.7 to 0.3 g/d) or between the treatment and app-only groups (mean difference, -0.04 g/d; 95% CI, -0.9 to 0.8 g/d). No significant differences were observed between groups in any secondary outcomes. Conclusions and Relevance: In this randomized clinical trial conducted among individuals with elevated blood pressure and a sodium-sensitive genotype, a sodium reduction program combining a genetic profile and an AI-based app with sodium-specific information did not significantly reduce salt intake. These findings highlight the challenges of achieving dietary behavior change through genetic personalized plus digital interventions. Trial Registration: http://umin.ac.jp/ctr Identifier: UMIN000052685.

Indexed as

Artificial IntelligenceDiet, Sodium-RestrictedHypertensionMobile ApplicationsAdultAgedFemaleHumansMaleMiddle AgedSodium Chloride, DietaryYoung AdultSodium Chloride, Dietary

Identifiers

PMID41100086
PMCPMC12531883

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.