Observational studyJournal of diabetes science and technology2018
Gestational Diabetes Management Using Smart Mobile Telemedicine.
Observational study in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 98 citations in OpenAlex.
- Artificial Intelligence in Self-Management of Gestational Diabetes Mellitus: A Systematic Review.Journal of medical systems · 2026Pooled it
- Barriers to and Facilitators of Using eHealth to Support Gestational Diabetes Mellitus Self-management: Systematic Literature Review of Perceptions of Health Care Professionals and Women With Gestational Diabetes Mellitus.Journal of medical Internet research · 2022Pooled it
- Effectiveness and Usability of Digital Tools to Support Dietary Self-Management of Gestational Diabetes Mellitus: A Systematic Review.Nutrients · 2021Pooled it
- Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.Briefings in bioinformatics · 2021Pooled it
- Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.Journal of pharmacokinetics and pharmacodynamics · 2020Pooled it
- Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes.BMC health services research · 2021Trial
- Managing Gestational Diabetes Complexity with Continuous Glucose Monitoring: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Artificial intelligence in mobile health applications: A comprehensive review of its role in diabetes care.World journal of methodology · 2026Review
- Mobile health applications in the management of hyperglycemia in pregnancy: a mini-review of current tools and future perspectives.Frontiers in clinical diabetes and healthcare · 2026Review
- Artificial Intelligence in Gestational Diabetes Care: A Systematic Review.Journal of diabetes science and technology · 2025Review
- User experience and perceived usability of nurse-led telemonitoring among women with gestational diabetes in Dhulikhel, Nepal.Journal of diabetes and metabolic disorders · 2025Article
- AI Applications for Chronic Condition Self-Management: Scoping Review.Journal of medical Internet research · 2025Article
- The use of artificial intelligence in sexual and reproductive health: a comprehensive scoping review.npj women's health · 2025Article
- Personalized and Culturally Tailored Features of Mobile Apps for Gestational Diabetes Mellitus and Their Impact on Patient Self-Management: Scoping Review.JMIR diabetes · 2024Article
- Artificial intelligence-driven transformations in diabetes care: a comprehensive literature review.Annals of medicine and surgery (2012) · 2024Review
- Industry 4.0 Technologies in Maternal Health Care: Bibliometric Analysis and Research Agenda.JMIR pediatrics and parenting · 2024Article
- Article
- Supporting the Management of Gestational Diabetes Mellitus With Comprehensive Self-Tracking: Mixed Methods Study of Wearable Sensors.JMIR diabetes · 2023Article
- The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment.Diseases (Basel, Switzerland) · 2023Article
- Telehealth Adoption During COVID-19: Lessons Learned from Obstetric Providers in the Rocky Mountain West.Telemedicine reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gestational diabetes (GDM) burden has been increasing progressively over the past years. Knowing that intrauterine exposure to maternal diabetes confers high risk for macrosomia as well as for future type 2 diabetes and obesity of the offspring, health care organizations try to provide effective control in spite of the limited resources. Artificial-intelligence-augmented telemedicine has been proposed as a helpful tool to facilitate an efficient widespread medical assistance to GDM. The aim of the study we present was to test the feasibility and acceptance of a mobile decision-support system for GDM, developed in the seventh framework program MobiGuide Project, which includes computer-interpretable clinical practice guidelines, access to data from the electronic health record as well as from glucose, blood pressure, and activity sensors. The results of this pilot study with 20 patients showed that the system is feasible. Compliance of patients with blood glucose monitoring was higher than that observed in a historical group of 247 patients, similar in clinical characteristics, who had been followed up for the 3 years prior to the pilot study. A questionnaire on the use of the telemedicine system showed a high degree of acceptance.
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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.