ReviewEndocrinology and metabolism (Seoul, Korea)2020
Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare.
Review in Endocrinology and metabolism (Seoul, Korea), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Analysis of experiences on telemedicine pilot projects from the perspectives of doctors, pharmacists, and patients.The Korean journal of internal medicine · 2026Article
- Evolving Regulations in Telemedicine Pilot Project: Insights Into Law, Practice, and Patient Care through International Case Studies.Journal of Korean medical science · 2025Review
- A Pilot Study Examining If the Additional Use of a Continuous Glucose Monitoring Is Helpful for Glucose Control in Older Adults.Yonsei medical journal · 2025Article
- Bridging the digital divide: student-led literacy initiatives in diabetes management.Frontiers in clinical diabetes and healthcare · 2025Review
- Using digital tools to improve diabetes care in India with continuous glucose monitoring.Therapeutic advances in endocrinology and metabolism · 2025Review
- Patent analysis of digital sensors for continuous glucose monitoring.Frontiers in public health · 2023Review
- Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions.Journal of Korean medical science · 2021Review
- Towards Telemedicine Adoption in Korea: 10 Practical Recommendations for Physicians.Journal of Korean medical science · 2021Review
- Digital health and diabetes: experience from India.Therapeutic advances in endocrinology and metabolism · 2021Review
- Ortho-digital dynamics: Exploration of advancing digital health technologies in musculoskeletal disease management.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
We live in a digital world where a variety of wearable medical devices are available. These technologies enable us to measure our health in our daily lives. It is increasingly possible to manage our own health directly through data gathered from these wearable devices. Likewise, healthcare professionals have also been able to indirectly monitor patients' health. Healthcare professionals have accepted that digital technologies will play an increasingly important role in healthcare. Wearable technologies allow better collection of personal medical data, which healthcare professionals can use to improve the quality of healthcare provided to the public. The use of continuous glucose monitoring systems (CGMS) is the most representative and desirable case in the adoption of digital technology in healthcare. Using the case of CGMS and examining its use from the perspective of healthcare professionals, this paper discusses the necessary adjustments required in clinical practices. There is a need for various stakeholders, such as medical staff, patients, industry partners, and policy-makers, to utilize and harness the potential of digital technology.
Indexed as
Identifiers
What 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.