Evidence map›Paper›PMID 39813114›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Changes in 90-Day Time in Range Among Youth With Type 1 Diabetes Initiating Different Automated Insulin Delivery Systems.

Sonia Gera, Andrew Rearson, Greyson Baker, Julia L Douvas, Nicole Alicea-Trelles, Robert J Gallop, Seema Meighan, Brynn E Marks

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. A Review of Real-World Evidence About the Use of Automated Insulin Delivery Systems in People With Type 1 Diabetes.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Review
  7. 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

8 authors.

Sonia GeraDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-8333-816X
Andrew RearsonDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Greyson BakerDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Julia L DouvasDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Nicole Alicea-TrellesDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Robert J GallopDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Seema MeighanDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Brynn E MarksDivision of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0002-4849-9774

Funding

Developing a patient-centered psychoeducational tool to realize the potential of diabetes technologiesK23DK129827 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI MARKS, BRYNN E · 2022 to 2025
$842k
Division of Endocrinology and Diabetes Small Research GrantsNIDDK NIH HHS K23 DK129827NIH HHS K23DK129827Pediatric Endocrine Society
6 · The paper itself

Abstract

contextGlycemic outcomes in youth with type 1 diabetes (T1D) in the United States using the 2 most common automated insulin delivery (AID) systems, Insulet Omnipod 5 (OP5) and Tandem Control IQ (CIQ), have not been compared.

objectiveWe performed the first head-to-head analysis of changes in glycemic metrics among youth initiating AID.

methodsThis single-center, retrospective study included youth < 21 years with T1D, who started OP5 or CIQ between January 2020 and December 2023, and had ≥ 70% continuous glucose monitoring (CGM) active time. We obtained 14-day baseline and 90-day CGM and AID data. A multiple linear regression model assessed for changes in 90-day time in range (TIR) according to AID system, adjusting for covariates. Subanalyses were conducted according to baseline TIR categories.

resultsAmong the 428 included youth, there were 214 (50%) in each AID group. OP5 users had a shorter T1D duration (1.6 vs 5.5 years, P < .001) and were more likely to have transitioned from multiple daily injections (76.1% vs 20.1%, P < .001). Baseline TIR was similar between groups (OP5 51.6% vs CIQ 53.1%, P = .70). 90-day TIR increased in both groups (P < .001), rising by 11.8 percentage points (95% CI [10.4, 13.3]) in OP5 users and 9.8 percentage points (95% CI [8.3, 11.2]) in CIQ users, without any significant between-group differences (P = .08). There were no between-group differences in 90-day TIR according to categorical baseline TIR.

conclusionThere are no clinically significant differences in 90-day TIR among youth with T1D initiating the 2 most commonly used AID systems. Patient preference and shared decision making should continue to guide the selection of AID systems.

Indexed as

Diabetes Mellitus, Type 1Hypoglycemic AgentsInsulinInsulin Infusion SystemsAdolescentBlood GlucoseBlood Glucose Self-MonitoringChildFemaleFollow-Up StudiesGlycated HemoglobinHumansMalePrognosisRetrospective StudiesTime FactorsBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinautomated insulin deliverycontinuous glucose monitortime in rangetype 1 diabetesyouth

Identifiers

PMID39813114
PMCPMC12448590

What OpenQuestion 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 OpenQuestion graph.