Evidence map›Paper›PMID 24278682›Full record

ReviewScientifica2012

Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetes.

Boris P Kovatchev

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Scientifica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02403427 (The Voice Decision Support Expert System in Basal-bolus Insulin Therapy of Diabetes Patients.), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 13% 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.

NCT02403427 naunknown statusnot on this mapstarted 2015, after this paper: background citation

The Voice Decision Support Expert System in Basal-bolus Insulin Therapy of Diabetes Patients.

TypeinterventionalSponsorInstytut Diabetologii Sp. z o.o.Ran2015 to 2015Enrolled42ConditionsType 1 Diabetes Mellitus With Hyperglycemia, Type 1 Diabetes Mellitus With HypoglycaemiaArmsVoiceDiab expert system
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Physical activity and type 1 diabetes: time for a rewire?Journal of diabetes science and technology · 2015
    Review
  8. Article
  9. Article
  10. 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

1 author at 1 institution in 1 country.

Boris P KovatchevDepartment of Psychiatry and Neurobehavioral Sciences, Department of Systems and Information Engineering, Center for Diabetes Technology, and University of Virginia Health System, University of Virginia, P.O. Box 400888, Charlottesville, VA 22908, USA.
University of Virginia Health System · US

Funding

Personalized Fully-Automated Regulation and Co-Regulation of Type 1 Diabetes: A Foundation Biobehavioral ApproachR01DK085623 · NIDDK · UNIVERSITY OF VIRGINIA · PI SUE A BROWN, BORIS P KOVATCHEV · 2009 to 2026
$10.6M
Improving intensive insulin therapy through the personalization of data-driven decision support system to patients’ goals and preferences and its adaptation to long term health needsR01DK051562 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI MARC D BRETON, Chiara Fabris · 1996 to 2026
$9.4M
NIDDK NIH HHS R01 DK051562NIDDK NIH HHS R01 DK085623
6 · The paper itself

Abstract

People with diabetes face a life-long optimization problem: to maintain strict glycemic control without increasing their risk for hypoglycemia. Since the discovery of insulin in 1921, the external regulation of diabetes by engineering means has became a hallmark of this optimization. Diabetes technology has progressed remarkably over the past 50 years-a progress that includes the development of markers for diabetes control, sophisticated monitoring techniques, mathematical models, assessment procedures, and control algorithms. Continuous glucose monitoring (CGM) was introduced in 1999 and has evolved from means for retroactive review of blood glucose profiles to versatile reliable devices, which monitor the course of glucose fluctuations in real time and provide interactive feedback to the patient. Technology integrating CGM with insulin pumps is now available, opening the field for automated closed-loop control, known as the artificial pancreas. Following a number of in-clinic trials, the quest for a wearable ambulatory artificial pancreas is under way, with a first prototype tested in outpatient setting during the past year. This paper discusses key milestones of diabetes technology development, focusing on the progress in the past 10 years and on the artificial pancreas-still not a cure, but arguably the most promising treatment of diabetes to date.

Identifiers

PMID24278682
PMCPMC3820631
OpenAlexW2164974490

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.