Evidence map›Paper›PMID 24876569›Full record

ArticleJournal of diabetes science and technology2014

DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients.

Kayo Waki, Hideo Fujita, Yuji Uchimura, Koji Omae, Eiji Aramaki, Shigeko Kato, Hanae Lee, Haruka Kobayashi, Takashi Kadowaki, Kazuhiko Ohe

Registry-linked trialOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03455816 (Randomized Clinical Study to Evaluate the Bio-Psychosocial Impact of a Mobile App for Diabetes), which is not on this map. Cited by 118 papers, 26 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 26 pooled it
30.2field-weighted citation impact, top 1% 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.

NCT03455816 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Randomized Clinical Study to Evaluate the Bio-Psychosocial Impact of a Mobile App for Diabetes ("SOCIAL DIABETES") and a SMARTMETER® (A. MENARINI DIAGNOSTICS) in the Care of People With Diabetes Mellitus Type 1 and Its Associated Costs

TypeinterventionalSponsorSoledad Ruiz de AdanaRan2017 to 2018Enrolled148ConditionsDiabetes Mellitus, Type 1ArmsSocial Diabetes App, Usual clinical monitoring group (Control group)
3 · Its place in the literature

Who cites it

118 citing papers in PubMed, 26 syntheses or guidelines pooled it, 224 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
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  3. 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
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58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Kayo WakiDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan kwaki-tky@umin.ac.jp.
Hideo FujitaDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yuji UchimuraDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Koji OmaeBusiness Development of Healthcare Business Smart-life Solutions Department, NTT DOCOMO, Inc, Tokyo, Japan.
Eiji AramakiCenter for Knowledge Structuring, The University of Tokyo, Tokyo, Japan.
Shigeko KatoDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hanae LeeDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Haruka KobayashiBusiness Development of Healthcare Business Smart-life Solutions Department, NTT DOCOMO, Inc, Tokyo, Japan.
Takashi KadowakiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kazuhiko OheDepartment of Medical Informatics and Economics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous diabetes-management systems and programs for improving glycemic control to meet guideline targets have been proposed, using IT technology. But all of them allow only limited-or no-real-time interaction between patients and the system in terms of system response to patient input; few studies have effectively assessed the systems' usability and feasibility to determine how well patients understand and can adopt the technology involved. DialBetics is composed of 4 modules: (1) data transmission module, (2) evaluation module, (3) communication module, and (4) dietary evaluation module. A 3-month randomized study was designed to assess the safety and usability of a remote health-data monitoring system, and especially its impact on modifying patient lifestyles to improve diabetes self-management and, thus, clinical outcomes. Fifty-four type 2 diabetes patients were randomly divided into 2 groups, 27 in the DialBetics group and 27 in the non-DialBetics control group. HbA1c and fasting blood sugar (FBS) values declined significantly in the DialBetics group: HbA1c decreased an average of 0.4% (from 7.1 ± 1.0% to 6.7 ± 0.7%) compared with an average increase of 0.1% in the non-DialBetics group (from 7.0 ± 0.9% to 7.1 ± 1.1%) (P = .015); The DialBetics group FBS decreased an average of 5.5 mg/dl compared with a non-DialBetics group average increase of 16.9 mg/dl (P = .019). BMI improvement-although not statistically significant because of the small sample size-was greater in the DialBetics group. DialBetics was shown to be a feasible and an effective tool for improving HbA1c by providing patients with real-time support based on their measurements and inputs.

Indexed as

mobile phoneself-managementtelemedicinetype 2 diabetes

Identifiers

PMID24876569
PMCPMC4455411
OpenAlexW2100476420

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.