ReviewCurrent diabetes reports2018
Diabetes Care in the Digital Era: a Synoptic Overview.
Review in Current diabetes reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled 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.
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
27 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Diabetes Treatment in the Elderly: Incorporating Geriatrics, Technology, and Functional Medicine.Current diabetes reports · 2018Pooled it
- A study on the clinical effectiveness of a tiered management model for type 2 diabetes based on a three-level linkage mechanism in the context of residency training: a randomized controlled trial.Frontiers in endocrinology · 2025Trial
- Integrating shared decision-making into primary care: lessons learned from a multi-centre feasibility randomized controlled trial.BMC medical informatics and decision making · 2021Trial
- Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes.BMC health services research · 2021Trial
- Metabolic Responses to Exercise and Nutritional Strategies in Type 1 Diabetes Using Automated Insulin Delivery Systems: A Narrative Review.Metabolites · 2026Review
- Optimising care for uncomplicated type 2 diabetes mellitus in Lagos, Nigeria: cost and benefit estimates using real-world data.BMJ global health · 2026Article
- Evaluating Digital Health Solutions in Diabetes and the Role of Patient-Reported Outcomes: Targeted Literature Review.JMIR diabetes · 2025Review
- An AI-based module for interstitial glucose forecasting enabling a "Do-It-Yourself" application for people with type 1 diabetes.Frontiers in digital health · 2025Article
- Impact of Voluntary, Community and Social Enterprise (VCSE) Organisations Working with Underserved Communities with Type 2 Diabetes Mellitus in England.Healthcare (Basel, Switzerland) · 2023Article
- Usability and Preliminary Efficacy of an Artificial Intelligence-Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study.JMIR human factors · 2023Article
- Development, Feasibility, Impact and Acceptability of a Community Pharmacy-Based Diabetes Care Plan in a Low-Middle-Income Country.Pharmacy (Basel, Switzerland) · 2023Article
- Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study.JMIR diabetes · 2023Article
- Mobile Health Apps for the Control and Self-management of Type 2 Diabetes Mellitus: Qualitative Study on Users' Acceptability and Acceptance.JMIR diabetes · 2023Article
- Digital technologies in primary care: Implications for patient care and future research.The European journal of general practice · 2022Article
- Adapting a Patient-Reported Outcome Measure to Digital Outpatient Specialist Health Care Services for Type 1 Diabetes: User Involvement Study.JMIR human factors · 2022Article
- A qualitative analysis of the needs and wishes of people with type 2 diabetes and healthcare professionals for optimal diabetes care.Diabetic medicine : a journal of the British Diabetic Association · 2022Article
- The Technology Acceptance of Video Consultations for Type 2 Diabetes Care in General Practice: Cross-sectional Survey of Danish General Practitioners.Journal of medical Internet research · 2022Article
- General practitioners' perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study.PLOS digital health · 2022Article
- Impact of a "Chart Closure" Hard Stop Alert on Prescribing for Elevated Blood Pressures Among Patients With Diabetes: Quasi-Experimental Study.JMIR medical informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewDiabetes care is undergoing a remarkable transformation by the advancements in information and communications technology (ICT). The aim of this review is to provide a general overview of various ICT-based interventions for diabetes care, challenges of their adoption, and consider future directions. RECENT
findingsA number of systematic reviews have examined studies on various aspects of telemedicine and eHealth for diabetes care, but they are generally focused on one specific type of technology application for diabetes care. A wide range of solutions from manual or automated telephone calls, short message services, websites, mobile health apps, remote monitoring devices, and sophisticated artificial intelligence systems has been studied in different settings and scopes with mixed results. However, despite the promising results of research studies, such innovative solutions are not widely adopted by health systems worldwide. Lack of supportive policy and legislation, unsustainable reimbursement, inefficient business models, and concerns regarding the security and privacy of health data are among the most problematic barriers.
Indexed as
Identifiers
29748905What OpenQuestion holds
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.