Evidence map›Paper›PMID 36039021›Full record

ArticleJournal of obesity & metabolic syndrome2022

Effectiveness of Information and Communications Technology-Based Interventions for Obesity and Metabolic Syndrome.

Sunyoung Kim, Sang Youl Rhee, Sungyoung Lee, Committee of IT-convergence Treatment of Metabolic Syndrome, the Korean Society for the Study of Obesity

Open access · diamondAbstract read
In one paragraph

Article in Journal of obesity & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
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 1 institution in 1 country.

Sunyoung KimDepartment of Family Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Sang Youl RheeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-0119-5818
Sungyoung LeeDepartment of Computer Science and Engineering, College of Software, Kyung Hee University, Suwon, Korea.
Committee of IT-convergence Treatment of Metabolic Syndrome, the Korean Society for the Study of Obesity
Kyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid increase in the obese population is a problem indicates the need for measures to prevent and treat obesity. Since the early 2000s, worldwide digital health has focused on obesity management. Information and communication technology (ICT)-based obesity intervention can be an efficient method for treating obesity and metabolic syndrome, has no time limitations, and is an inexpensive and easily accessible treatment modality for both physicians and patients. Previous studies have confirmed the effects of ICT-based interventions for obesity and metabolic syndrome management for behavioral improvement in lifestyle modification. In addition, ICT-based interventions in obese and metabolic syndrome patients are recommended as part of a comprehensive strategy for weight loss and maintenance. The Committee of IT-convergence Treatment of Metabolic Syndrome was established by the Korean Society for the Study of Obesity in 2021, and had been gathering theoretical and clinical evidence in digital therapeutics fields and developing new methods for managing obesity and metabolic syndrome. As part of this effort, if the "obesity management prototype" is commercialized, it will be available for convenient treatment of individuals with obesity and metabolic syndrome.

Indexed as

Cognitive behavioral therapyDigital technologyObesityTelecommunicationWeight loss

Identifiers

PMID36039021
PMCPMC9579473
OpenAlexW4293537604

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.