Evidence map›Paper›PMID 33389956›Full record

ReviewDiabetes & metabolism journal2020

Present and Future of Digital Health in Diabetes and Metabolic Disease.

Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R Steinhubl

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes & metabolism journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
6.7field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  12. Using digital tools to improve diabetes care in India with continuous glucose monitoring.Therapeutic advances in endocrinology and metabolism · 2025
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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

4 authors at 2 institutions in 2 countries.

Sang Youl RheeDepartment of Endocrinology and Metabolism, Kyung Hee University School of Medicine, Seoul, Korea.
Chiweon KimDepartment of Internal Medicine, Seoul Wise Hospital, Uiwang, Korea.
Dong Wook ShinDepartment of Family Medicine/Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Steven R SteinhublDepartment of Digital Health, Scripps Research Translational Institute, La Jolla, CA, USA.
Scripps Research Institute · USSamsung (South Korea) · KR

Funding

Ministry of Trade, Industry and Energy 20001234
6 · The paper itself

Abstract

The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.

Indexed as

Diabetes MellitusBiomedical TechnologyChronic DiseaseCommunicationHumansInformation TechnologyDiabetes mellitusEducationMobile applicationsNutritional sciencesObesityPrediabetic statePrevention and control

Identifiers

PMID33389956
PMCPMC7801756
OpenAlexW3117252764

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.