Evidence map›Paper›PMID 34962164›Full record

ArticleDiabetes technology & therapeutics2022

Assessment for Predictors of Rise in Hemoglobin A1c During Extended Use of a Closed-Loop Control System.

Melissa J Schoelwer, Alessandro Bisio, Marc D Breton, Mark D DeBoer

Abstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

4 authors.

Melissa J SchoelwerUniversity of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA.
Alessandro BisioUniversity of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA.
Marc D BretonUniversity of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA.
Mark D DeBoerUniversity of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA.

Funding

Translation of the UVA Advanced Automated Insulin Delivery Systems to Clinical Care in Young Children: Glycemic Control, Regulatory Acceptance and Optimization of Day to Day UseU01DK127551 · NIDDK · UNIVERSITY OF VIRGINIA · PI BRETON, MARC D, BUCKINGHAM, BRUCE A · 2020 to 2022
$4.4M
NIDDK NIH HHS U01 DK127551
6 · The paper itself

Abstract

We assessed predictors of rising hemoglobin A1c (HbA1c) during long-term use of closed-loop control (CLC) in children aged 6-13 years with type 1 diabetes. Participants used a CLC system during a 16-week randomization phase followed by a 12-week extension phase. We compared an "Increased-HbA1c" group (

Indexed as

Diabetes Mellitus, Type 1Insulin Infusion SystemsBlood GlucoseBlood Glucose Self-MonitoringChildGlycated HemoglobinHumansHypoglycemic AgentsInsulinBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinArtificial pancreasClosed-loop controlHemoglobin A1cPediatricType 1 diabetes

Identifiers

PMID34962164
PMCPMC9057886

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.