Evidence map›Paper›PMID 42375870›Full record

ArticleBelitung nursing journal2026

The effect of a self-management program through a mobile application on lipid profile among persons with coronary artery disease: A randomized controlled trial study in Thailand.

Rapin Polsook, Yupin Aungsuroch

Abstract read
In one paragraph

Article in Belitung nursing journal, 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

2 authors.

Rapin PolsookFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-3076-9921
Yupin AungsurochFaculty of Nursing, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-9205-1814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cholesterol, triglycerides, and low-density lipoprotein levels are key indicators of patients' self-care in coronary artery disease; although medications can improve lipid profiles, the results often remain above targets. Implementing mobile self-management programs is crucial for reducing the incidence of coronary artery disease, preventing cardiac events, and enhancing well-being. Objective: This study aimed to evaluate the impact of a self-management program on cholesterol, triglycerides, and low-density lipoprotein levels in people with coronary artery disease. Methods: A randomized controlled trial design was employed at a tertiary hospital in Thailand between June 2022 and June 2023. Forty-eight people were randomly assigned to one of two groups: control or experimental. The experimental group used applications and the telephone for four weeks to self-manage cholesterol, triglyceride, and low-density lipoprotein levels, while the control group received conventional care. Data were gathered about cholesterol, triglyceride, and low-density lipoprotein levels. Descriptive statistics, independent Results: Results showed that the experimental group had a statistically significant reduction in cholesterol ( Conclusions: The findings indicate that a mobile application-based self-management program can significantly reduce cholesterol, triglyceride, and low-density lipoprotein levels in people with coronary artery disease in the short term. These findings highlight the crucial role of nurses applying these strategies to enhance patient care. Trial Registry Number: Thai Clinical Trials Registry (TCTR20250129001).

Indexed as

cholesterolcoronary artery diseaselow-density lipoproteinmobile applicationself-management programtriglycerides

Identifiers

PMID42375870
PMCPMC13312094

What Socratic holds

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LicenceCC BY-NC
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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.