Evidence map›Paper›PMID 35020488›Full record

Trial reportDiabetes technology & therapeutics2022

Glycemic Outcomes in Baseline Hemoglobin A1C Subgroups in the International Diabetes Closed-Loop Trial.

Laya Ekhlaspour, Marissa Town, Dan Raghinaru, John W Lum, Sue A Brown, Bruce A Buckingham

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes technology & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03563313 (A Pivotal Study of t), which is not on this map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
6.6field-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.

NCT03563313 nacompletednot on this map

A Pivotal Study of t:Slim X2 With Control-IQ Technology

TypeinterventionalSponsorUniversity of VirginiaRan2018 to 2019Enrolled168ConditionsType 1 Diabetes MellitusArmst:slim X2 with Control-IQ Technology & Dexcom G6 CGM, Sensor-augmented pump (SAP)
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Guideline
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  13. Improving equity in diabetes technology use: Voices of youth and their parents.Diabetic medicine : a journal of the British Diabetic Association · 2024
    Article
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  15. Review
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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

6 authors at 3 institutions in 1 country.

Laya EkhlaspourDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Center for Academic Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-3263-1419
Marissa TownDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Center for Academic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Dan RaghinaruJaeb Center for Health Research, Tampa, Florida, USA.
John W LumJaeb Center for Health Research, Tampa, Florida, USA.
Sue A BrownUniversity of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA.
Bruce A BuckinghamDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Center for Academic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Stanford Medicine · USJaeb Center for Health Research · USUniversity of Virginia · US

Funding

Modeling and modulating insulin delivery in automated insulin delivery systems to accommodate for meal compositionsK23DK121942 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EKHLASPOUR, LAYA · 2020 to 2024
$964k
NIDDK NIH HHS K23 DK121942
6 · The paper itself

Abstract

Using a closed-loop system significantly improves time in range (TIR) 70-180 mg/dL in patients with type 1 diabetes (T1D). In a 6-month RCT, 112 subjects were randomly assigned to closed-loop control (Tandem Control-IQ) after obtaining 2 weeks of baseline Continuous glucose monitoring (CGM) data from sensor-augmented pump therapy. We compared glycemic outcomes from baseline to end of study among subgroups classified by baseline HbA1c levels. All HbA1c subgroups showed an improvement in TIR due to reduction of both hyperglycemia and hypoglycemia. Those with HbA1c <6.5% improved mostly by reducing nocturnal hypoglycemia due to the automated basal insulin adjustments. Those with HbA1c ≥8.5% improved mostly by reducing daytime and nocturnal hyperglycemia due to both automated basal insulin adjustments and correction boluses during the day. There does not appear to be any reason to exclude individuals with T1D from automated insulin delivery based on their HbA1c. Clinical Trial Identifier: NCT03563313.

Indexed as

Diabetes Mellitus, Type 1HyperglycemiaHypoglycemiaBlood GlucoseBlood Glucose Self-MonitoringGlycated HemoglobinHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinClosed-loop systemContinuous glucose monitoringGlycemic managementInternational Diabetes Closed-Loop TrialTime in rangeType 1 diabetes

Identifiers

PMID35020488
PMCPMC9353995
OpenAlexW4205778417

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.