Evidence map›Paper›PMID 37322319›Full record

ReviewDiabetes therapy : research, treatment and education of diabetes and related disorders2023

Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type 1 Disease.

Tomasz Klupa, Leszek Czupryniak, Grzegorz Dzida, Piotr Fichna, Przemyslawa Jarosz-Chobot, Janusz Gumprecht, Malgorzata Mysliwiec, Agnieszka Szadkowska, Dorota Bomba-Opon, Krzysztof Czajkowski and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
9.7field-weighted citation impact, top 1% 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.

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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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  19. Criteria for Personalised Choice of a Continuous Glucose Monitoring System: An Expert Opinion.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
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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

12 authors at 7 institutions in 1 country.

Tomasz KlupaDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland. tomasz.klupa@uj.edu.pl.ORCID http://orcid.org/0000-0002-7199-4079
Leszek CzupryniakDepartment of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
Grzegorz DzidaDepartment of Internal Diseases, Medical University of Lublin, Lublin, Poland.
Piotr FichnaDepartment of Pediatric Diabetes and Obesity, Poznan University of Medical Sciences, Poznan, Poland.
Przemyslawa Jarosz-ChobotDepartment of Children's Diabetology, Medical University of Silesia, Katowice, Poland.
Janusz GumprechtDepartment of Internal Medicine, Diabetology and Nephrology, Medical University of Silesia, Katowice, Poland.
Malgorzata MysliwiecDepartment of Pediatrics, Diabetology and Endocrinology, Medical University of Gdansk, Gdansk, Poland.
Agnieszka SzadkowskaDepartment of Pediatrics, Diabetology, Endocrinology and Nephrology, Medical University of Lodz, Lodz, Poland.
Dorota Bomba-Opon1st Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland.
Krzysztof Czajkowski2nd Department of Obstetrics and Gynecology, Medical University of Warsaw, Warsaw, Poland.
Maciej T MaleckiDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.
Dorota A Zozulinska-ZiolkiewiczDepartment of Internal Medicine and Diabetology, Poznan University of Medical Science, Poznan, Poland.
Medical University of Warsaw · PLJagiellonian University · PLMedical University of Silesia · PLPoznan University of Medical Sciences · PLGdańsk Medical University · PLMedical University of Lodz · PLMedical University of Lublin · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Application of continuous glucose monitoring (CGM) has moved diabetes care from a reactive to a proactive process, in which a person with diabetes can prevent episodes of hypoglycemia or hyperglycemia, rather than taking action only once low and high glucose are detected. Consequently, CGM devices are now seen as the standard of care for people with type 1 diabetes mellitus (T1DM). Evidence now supports the use of CGM in people with type 2 diabetes mellitus (T2DM) on any treatment regimen, not just for those on insulin therapy. Expanding the application of CGM to include all people with T1DM or T2DM can support effective intensification of therapies to reduce glucose exposure and lower the risk of complications and hospital admissions, which are associated with high healthcare costs. All of this can be achieved while minimizing the risk of hypoglycemia and improving quality of life for people with diabetes. Wider application of CGM can also bring considerable benefits for women with diabetes during pregnancy and their children, as well as providing support for acute care of hospital inpatients who experience the adverse effects of hyperglycemia following admission and surgical procedures, as a consequence of treatment-related insulin resistance or reduced insulin secretion. By tailoring the application of CGM for daily or intermittent use, depending on the patient profile and their needs, one can ensure the cost-effectiveness of CGM in each setting. In this article we discuss the evidence-based benefits of expanding the use of CGM technology to include all people with diabetes, along with a diverse population of people with non-diabetic glycemic dysregulation.

Indexed as

Continuous glucose monitoringHospital inpatientsPregnancyType 2 diabetes

Identifiers

PMID37322319
PMCPMC10299981
OpenAlexW4380853256

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.