Evidence map›Paper›PMID 36416098›Full record

ArticleJournal of diabetes science and technology2024

Real-Time Continuous Glucose Monitoring in Adolescents and Young Adults With Type 2 Diabetes Can Improve Quality of Life.

Hannah Chesser, Shylaja Srinivasan, Cassidy Puckett, Stephen E Gitelman, Jenise C Wong

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06716671 (Influence of Continuous Glucose Monitoring on Quality of Life in People With Type 2 Diabetes Mellitus), which is not on this map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
4.6field-weighted citation impact, top 4% 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.

NCT06716671 completednot on this map

Influence of Continuous Glucose Monitoring on Quality of Life in People With Type 2 Diabetes Mellitus

TypeobservationalSponsorFundacio d'Investigacio en Atencio Primaria Jordi Gol i GurinaRan2024 to 2026Enrolled87ConditionsContinuous Glucose Monitoring, Quality of Life, Type 2 Diabetes Mellitus (T2DM)
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Continuous glucose monitoring in type 2 diabetes: a systematic review of barriers and opportunities for care improvement.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025
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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

5 authors at 2 institutions in 1 country.

Hannah ChesserDivision of Endocrinology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-0724-4310
Shylaja SrinivasanDivision of Endocrinology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Cassidy PuckettDepartment of Sociology, Emory University, Atlanta, GA, USA.
Stephen E GitelmanDivision of Endocrinology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Jenise C WongDivision of Endocrinology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0573-6650
University of California, San Francisco · USEmory University · US

Funding

Training Program in Pediatric EndocrinologyT32DK007161 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian J Feldman, STEPHEN E GITELMAN · 1986 to 2026
$6.2M
A comprehensive approach to understanding the determinants of metformin pharmacokinetics and pharmacodynamics in youth with type 2 diabetesK23DK120932 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SRINIVASAN, SHYLAJA · 2020 to 2024
$1.1M
NIDDK NIH HHS K23 DK120932NIDDK NIH HHS T32 DK007161
6 · The paper itself

Abstract

objectiveReal-time continuous glucose monitoring (CGM) is effective for diabetes management in cases of type 1 diabetes and adults with type 2 diabetes (T2D) but has not been assessed in adolescents and young adults (AYAs) with T2D. The objective of this pilot interventional study was to assess the feasibility and acceptability of real-time CGM use in AYAs with T2D.

methodsAdolescents and young adults (13-21 years old) with T2D for six months or more and hemoglobin A1c (A1c) greater than 7%, on any Food and Drug Administration-approved treatment regimen, were included. After a blinded run-in period, participants were given access to a real-time CGM system for 12 weeks. The use and acceptability of the real-time CGM were evaluated by sensor usage, surveys, and focus group qualitative data.

resultsParticipants' (n = 9) median age was 19.1 (interquartile range [IQR] 16.8-20.5) years, 78% were female, 100% were people of color, and 67% were publicly insured. Baseline A1c was 11.9% (standard deviation ±2.8%), with median diabetes duration of 2.5 (IQR 1.4-6) years, and 67% were using insulin. Seven participants completed the study and demonstrated statistically significant improvement in diabetes-related quality of life, with the mean Pediatric Quality of Life inventory (PedsQL) diabetes score increasing from 70 to 75 after using CGM (

conclusionReal-time CGM is feasible and acceptable for AYAs with T2D and may improve the quality of life of patients with diabetes. Larger randomized controlled trials are needed to assess the effects on glycemic control and healthy lifestyle changes.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2Quality of LifeAdolescentContinuous Glucose MonitoringFeasibility StudiesFemaleGlycated HemoglobinHumansHypoglycemic AgentsMalePilot ProjectsYoung AdultBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agentsadolescentscontinuous glucose monitoringlifestyle factorspediatricssensorstype 2 diabetes

Identifiers

PMID36416098
PMCPMC11307231
OpenAlexW4309730110

What OpenQuestion holds

Textmetadata
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.