Evidence mapPaperPMID 39347970Full record

ReviewJournal of managed care & specialty pharmacy2024

Advances in diabetes technology within the digital diabetes ecosystem.

Halis Kaan Akturk, Anila Bindal

Abstract readReview
In one paragraph

Review in Journal of managed care & specialty pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. The Future of Automated Insulin Delivery Systems.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Review
  3. Registration and Real-Life Studies on Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2025
    Review
  4. Advances in Continuous Glucose Monitoring: Clinical Applications.Endocrinology and metabolism (Seoul, Korea) · 2025
    Review
  5. Revolutionizing Diabetes Care: From Tech to Therapeutics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  6. 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

2 authors.

Halis Kaan AkturkBarbara Davis Center for Diabetes, University of Colorado, Aurora.
Anila BindalAbbott Diabetes Care, Alameda, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing innovations in glucose monitoring, insulin delivery, and telehealth technologies have created a digital diabetes ecosystem populated by connected tools and technologies that have been shown to improve clinical outcomes, lower costs, and reduce the burden of diabetes. Advances in connected continuous glucose monitoring devices, insulin pumps, and insulin pens have led to the development of automated insulin delivery systems that modulate insulin infusion based on sensor glucose data. Similar integrations of continuous glucose monitoring and connected blood glucose meter data into "smart" pens have lessened the guesswork of intensive insulin management for individuals who prefer traditional injection therapy. A growing number of health apps that can be accessed through smartphones and wearable devices provide information and advice that support individuals in adopting healthier lifestyles. The differences in features and functionality give users the ability to select the devices that best meet their unique requirements and preferences. This article reviews the most current digital diabetes technologies and discusses how the connectivity of these tools can create an overarching architecture of feedback mechanisms that monitor an individual's health status, motivate and enhance adherence to self-management, and provide advice and decision-support tools to clinicians as well as other members of the health care team to make living with diabetes more manageable.

Indexed as

Blood Glucose Self-MonitoringDiabetes MellitusInsulin Infusion SystemsTelemedicineBlood GlucoseHumansHypoglycemic AgentsInsulinMobile ApplicationsBlood GlucoseHypoglycemic AgentsInsulin

Identifiers

PMID39347970
PMCPMC11443980

What Socratic holds

Textmetadata
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 Socratic graph.