Evidence mapPaperPMID 41838898Full record

Trial reportJMIR mHealth and uHealth2026

Effects of a Hypertension Management Mobile App on Urinary Sodium Excretion in Patients With Chronic Kidney Disease: Randomized Controlled Trial.

Takayuki Kawaoka, Yusuke Sakaguchi, Tatsufumi Oka, Yohei Doi, Ryohei Yamamoto, Isao Matsui, Masayuki Mizui, Jun-Ya Kaimori, Yoshitaka Isaka

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 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

9 authors.

Takayuki Kawaoka *Department of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0009-0009-0987-2941
Yusuke Sakaguchi *Department of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0002-0987-5423
Tatsufumi OkaDepartment of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0002-9507-3506
Yohei DoiDepartment of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0002-5165-291X
Ryohei YamamotoDepartment of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0003-2610-9824
Isao MatsuiDepartment of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0001-8378-6130
Masayuki MizuiDepartment of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0003-2543-8108
Jun-Ya KaimoriDepartment of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0001-6892-3942
Yoshitaka IsakaDepartment of Nephrology, Graduate School of Medicine, The University of Osaka, 2-2-D11, Yamada-oka, Suita, 565-0871, Japan, 81 6-6879-3230.ORCID http://orcid.org/0000-0002-0820-7167

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Excessive salt intake is detrimental to the kidneys. Nevertheless, salt restriction is often suboptimal in patients with chronic kidney disease (CKD). Smartphone app-based interventions might help reduce salt intake by supporting self-monitoring and behavior change at scale. However, clinical trials evaluating these interventions for salt reduction are limited, particularly in CKD populations. Objective: This study investigated whether a hypertension management app could reduce urinary sodium excretion in patients with CKD. Methods: This open-label, single-center, randomized clinical trial included 101 patients with CKD who had a history of hypertension and estimated 24-hour urinary sodium excretion of 100 mmol or greater. Patients in the intervention group used CureApp HT, a smartphone app designed to manage hypertension through lifestyle modifications and self-monitoring, particularly for salt restriction. The app delivered daily, individualized guidance tailored to each patient's lifestyle. Patients also received lifestyle counseling by nephrologists during outpatient visits. The control group received lifestyle counseling alone. The intervention period was 12 weeks. The primary outcome was the change in estimated 24-hour urinary sodium excretion from baseline to week 12, calculated from spot urine samples using the Tanaka method. Key secondary outcomes included office blood pressure, brachial-ankle pulse wave velocity, urinary protein-to-creatinine ratio, and plasma brain natriuretic peptide. The analysis was conducted in the intention-to-treat population, using a mixed-effects model for repeated measures. Results: A total of 101 patients were randomly assigned to the intervention group (n=51) or the control group (n=50). The median (IQR) app engagement rate, calculated by dividing the number of days patients recorded blood pressure in the app by the total intervention period, was 96% (73%-99%). The mean (SD) baseline estimated glomerular filtration rate and 24-hour urinary sodium excretion were 38 (18) mL/min/1.73 m2 and 145 (33) mmol, respectively. A higher proportion of patients in the intervention group reported that their salt intake behaviors had "significantly improved" or "somewhat improved" by the intervention than those in the control group (35/46, 76% vs 18/47, 38%; P<.001). However, the mean change in estimated 24-hour urinary sodium excretion during the intervention period did not differ significantly between groups (1.4, 95% CI -12.0 to 14.7 mmol in the intervention group vs 2.5, 95% CI -10.7 to 15.6 mmol in the control group; between-group difference -1.1, 95% CI -19.8 to 17.7 mmol; P=.92). Secondary outcomes were not significantly different between groups. These outcomes were not altered even in a subgroup of patients reporting improved self-reported salt intake behaviors. Conclusions: The smartphone app did not reduce salt intake in patients with CKD, despite a substantial improvement in self-reported salt intake behaviors. Enhancing the intervention intensity may be necessary to effectively bridge the intention-behavior gap.

Indexed as

HypertensionMobile ApplicationsRenal Insufficiency, ChronicSodiumAdultAgedFemaleHumansMaleMiddle AgedSodiumchronic kidney diseasehypertensionlifestyle modificationsalt restrictionsmartphone app–based intervention

Identifiers

PMID41838898
PMCPMC12991191

What Socratic holds

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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 Socratic graph.