Evidence map›Paper›PMID 36808243›Full record

ArticleJAMA network open2023

Association of Achieving Time in Range Clinical Targets With Treatment Modality Among Youths With Type 1 Diabetes.

Klemen Dovc, Stefanie Lanzinger, Roque Cardona-Hernandez, Martin Tauschmann, Marco Marigliano, Valentino Cherubini, Romualdas Preikša, Ulrike Schierloh, Helen Clapin, Fahed AlJaser and 3 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
8.6field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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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

13 authors at 12 institutions in 10 countries.

Klemen DovcDepartment of Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, Ljubljana, Slovenia.
Stefanie LanzingerInstitute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Ulm, Germany.
Roque Cardona-HernandezDivision of Pediatric Endocrinology, Hospital Sant Joan de Déu, Barcelona, Spain.
Martin TauschmannDepartment of Pediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.
Marco MariglianoPediatric Diabetes and Metabolic Disorders Unit, Regional Center for Pediatric Diabetes, University City Hospital of Verona, Verona, Italy.
Valentino CherubiniDivision of Pediatric Diabetology, Department of Women's and Children's Health, Salesi Hospital, Ancona, Italy.
Romualdas PreikšaInstitute and Clinic of Endocrinology, Lithuanian University of Health Sciences, Kaunas.
Ulrike SchierlohDepartment of Pediatric Diabetes and Endocrinology, Centre Hospitalier Luxembourg, Luxembourg, Luxembourg.
Helen ClapinDepartment of Diabetes and Endocrinology, Perth Children's Hospital, Perth, Australia.
Fahed AlJaserDepartment of Pediatrics, Amiri Hospital, Ministry of Health, Dasman, Kuwait.
Julie PelicandPediatric and Adolescent Diabetes Program, Department of Pediatrics, San Camilo Hospital, San Felipe, Chile.
Rishi ShuklaDepartment of Diabetes and Endocrinology, Center for Diabetes & Endocrine Diseases, Kanpur, India.
Torben BiesterChildren's Hospital, Auf der Bult, Hannover, Germany.
Centre Hospitalier de Luxembourg · LUHeinrich Heine University Düsseldorf · DEHospital Sant Joan de Déu Barcelona · ESKinderkrankenhaus auf der Bult · DELithuanian University of Health Sciences · LTLjubljana University Medical Centre · SIMedical University of Vienna · ATMinistry of Health · KWOspedali Riuniti di Ancona · ITPerth Children's HospitalUniversity of Valparaíso · CLUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Continuous glucose monitoring (CGM) devices have demonstrated efficacy in adults and more recently in youths and older adults with type 1 diabetes. In adults with type 1 diabetes, the use of real-time CGM compared with intermittently scanned CGM was associated with improved glycemic control, but there are limited data available for youths. Objective: To assess real-world data on achievement of time in range clinical targets associated with different treatment modalities in youths with type 1 diabetes. Design, Setting, and Participants: This multinational cohort study included children, adolescents, and young adults younger than 21 years (hereinafter referred to collectively as youths) with type 1 diabetes for a duration of at least 6 months who provided CGM data between January 1, 2016, and December 31, 2021. Participants were enrolled from the international Better Control in Pediatric and Adolescent Diabetes: Working to Create Centers of Reference (SWEET) registry. Data from 21 countries were included. Participants were divided into 4 treatment modalities: intermittently scanned CGM with or without insulin pump use and real-time CGM with or without insulin pump use. Exposures: Type 1 diabetes and the use of CGM with or without an insulin pump. Main Outcomes and Measures: Proportion of individuals in each treatment modality group achieving recommended CGM clinical targets. Results: Among the 5219 participants (2714 [52.0%] male; median age, 14.4 [IQR, 11.2-17.1] years), median duration of diabetes was 5.2 (IQR, 2.7-8.7) years and median hemoglobin A1c level was 7.4% (IQR, 6.8%-8.0%). Treatment modality was associated with the proportion of individuals achieving recommended clinical targets. Adjusted for sex, age, diabetes duration, and body mass index standard deviation score, the proportion achieving the recommended greater than 70% time in range target was highest with real-time CGM plus insulin pump use (36.2% [95% CI, 33.9%-38.4%]), followed by real-time CGM plus injection use (20.9% [95% CI, 18.0%-24.1%]), intermittently scanned CGM plus injection use (12.5% [95% CI, 10.7%-14.4%]), and intermittently scanned CGM plus insulin pump use (11.3% [95% CI, 9.2%-13.8%]) (P < .001). Similar trends were observed for less than 25% time above (real-time CGM plus insulin pump, 32.5% [95% CI, 30.4%-34.7%]; intermittently scanned CGM plus insulin pump, 12.8% [95% CI, 10.6%-15.4%]; P < .001) and less than 4% time below range target (real-time CGM plus insulin pump, 73.1% [95% CI, 71.1%-75.0%]; intermittently scanned CGM plus insulin pump, 47.6% [95% CI, 44.1%-51.1%]; P < .001). Adjusted time in range was highest among real-time CGM plus insulin pump users (64.7% [95% CI, 62.6%-66.7%]). Treatment modality was associated with the proportion of participants experiencing severe hypoglycemia and diabetic ketoacidosis events. Conclusions and Relevance: In this multinational cohort study of youths with type 1 diabetes, concurrent use of real-time CGM and an insulin pump was associated with increased probability of achieving recommended clinical targets and time in range target as well as lower probability of severe adverse events compared with other treatment modalities.

Indexed as

Diabetes Mellitus, Type 1InsulinsAdolescentAgedBlood GlucoseBlood Glucose Self-MonitoringChildCohort StudiesFemaleHumansHypoglycemic AgentsMaleYoung AdultBlood GlucoseHypoglycemic AgentsInsulins

Identifiers

PMID36808243
PMCPMC9941889
OpenAlexW4321370165

What OpenQuestion holds

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Registered trials

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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.