Evidence map›Paper›PMID 25851892›Full record

ArticleJournal of clinical neurology (Seoul, Korea)2015

Feasibility of using a mobile application for the monitoring and management of stroke-associated risk factors.

Woo Keun Seo, Jaewoo Kang, Minji Jeon, Kyubum Lee, Sunwon Lee, Ji Hyun Kim, Kyungmi Oh, Seong Beom Koh

Erratum issuedOpen access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical neurology (Seoul, Korea), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 pooled it
3.0field-weighted citation impact, top 10% of its field
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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
  2. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Pooled it
  3. Effect of mobile application types on stroke rehabilitation: a systematic review.Journal of neuroengineering and rehabilitation · 2023
    Pooled it
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  11. mHealth Intervention Applications for Adults Living With the Effects of Stroke: A Scoping Review.Archives of rehabilitation research and clinical translation · 2021
    Article
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  16. Article
  17. [Use of smartphone apps in secondary stroke prevention].Wiener medizinische Wochenschrift (1946) · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Woo Keun SeoDepartment of Neurology, College of Medicine, Korea University, Guro Hospital, Seoul, Korea. nukseo@korea.ac.kr.
Jaewoo KangDepartment of Computer and Radio Communications Engineering, Korea University, Seoul, Korea.
Minji JeonDepartment of Computer and Radio Communications Engineering, Korea University, Seoul, Korea.
Kyubum LeeDepartment of Computer and Radio Communications Engineering, Korea University, Seoul, Korea.
Sunwon LeeDepartment of Computer and Radio Communications Engineering, Korea University, Seoul, Korea.
Ji Hyun KimDepartment of Neurology, College of Medicine, Korea University, Guro Hospital, Seoul, Korea.
Kyungmi OhDepartment of Neurology, College of Medicine, Korea University, Guro Hospital, Seoul, Korea.
Seong Beom KohDepartment of Neurology, College of Medicine, Korea University, Guro Hospital, Seoul, Korea.
Korea University · KRKorea University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeRecent advances in information technology have created opportunities for advances in the management of stroke. The objective of this study was to test the feasibility of using a smartphone software application (app) for the management of vascular risk factors in patients with stroke.

methodsThis prospective clinical trial developed a smartphone app, the 'Korea University Health Monitoring System for Stroke: KUHMS₂,' for use by patients with stroke. During a 6-month follow-up period, its feasibility was assessed by measuring the changes in their vascular risk-factor profiles and the number of days per patient with data registration into the app. The effect of the app on the achievement rate of risk-factor targets was assessed by classifying subjects into compliant and noncompliant groups.

resultsAt the end of the trial, data on 48 patients were analyzed. The number of days on which data were registered into the app was 60.42±50.17 (mean±standard deviation). Among predefined vascular risk factors, the target achievement rate for blood pressure and glycated hemoglobin (Hb(A1c)) improved significantly from baseline to the final measurement. The serial changes in achievement rates for risk-factor targets did not differ between the compliant and noncompliant groups.

conclusionsMany challenges must be overcome before mobile apps can be used for patients with stroke. Nevertheless, the app tested in this study induced a shift in the risk profiles in a favorable direction among the included stroke patients.

Indexed as

health caremobile applicationrisk factorstroke

Identifiers

PMID25851892
PMCPMC4387479
OpenAlexW2107983801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.