Evidence map›Paper›PMID 28626906›Full record

ReviewDiabetic medicine : a journal of the British Diabetic Association2017

Behavioural implications of traditional treatment and closed-loop automated insulin delivery systems in Type 1 diabetes: applying a cognitive restraint theory framework.

A R Kahkoska, E J Mayer-Davis, K K Hood, D M Maahs, K S Burger

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Diabetic medicine : a journal of the British Diabetic Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07348432 (The diabEAT Study), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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.

NCT07348432 recruitingnot on this mapstarted 2024, after this paper: background citation

The diabEAT Study: Insulin dElivery Technologies And eaTing Behaviours in People With Type 1 Diabetes

TypeobservationalSponsorMcGill UniversityRan2024 to 2026Enrolled106ConditionsInsulin Dependent Diabetes Mellitus, Feeding and Eating Disorders, Eating Behavior, Type 1 DiabetesArmsAutomated Insulin Delivery (AID) Systems, Carbohydrate Counting Inaccuracy Percentage
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. 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

5 authors at 2 institutions in 1 country.

A R KahkoskaDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0003-2701-101X
E J Mayer-DavisDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
K K HoodDivision of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
D M MaahsDivision of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
K S BurgerDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
University of North Carolina at Chapel Hill · USStanford University · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
FL3X: An Adaptive Intervention to Improve Outcomes for Youth with Type 1 DiabetesUC4DK101132 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAAHS, DAVID MATTHEW, MAYER-DAVIS, ELIZABETH J · 2013 to 2013
$6.9M
RENAL EPIDEMIOLOGY TRAINING PROGRAMT32DK007750 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FALK, RONALD J · 1999 to 2022
$5.5M
NIDDK NIH HHS P30 DK056350NIDDK NIH HHS T32 DK007750NIDDK NIH HHS UC4 DK101132
6 · The paper itself

Abstract

As the prevalence of obesity in Type 1 diabetes rises, the effects of emerging therapy options should be considered in the context of both weight and glycaemic control outcomes. Artificial pancreas device systems will 'close the loop' between blood glucose monitoring and automated insulin delivery and may transform day-to-day dietary management for people with Type 1 diabetes in multiple ways. In the present review, we draw directly from cognitive restraint theory to consider unintended impacts that closed-loop systems may have on ingestive behaviour and food intake. We provide a brief overview of dietary restraint theory and its relation to weight status in the general population, discuss the role of restraint in traditional Type 1 diabetes treatment, and lastly, use this restraint framework to discuss the possible behavioural implications and opportunities of closed-loop systems in the treatment of Type 1 diabetes. We hypothesize that adopting closed-loop systems will lift the diligence and restriction that characterizes Type 1 diabetes today, thus requiring a transition from a restrained eating behaviour to a non-restrained eating behaviour. Furthermore, we suggest this transition be leveraged as an opportunity to teach people lifelong eating behaviour to promote healthy weight status by incorporating education and cognitive reappraisal. Our aim was to use a transdisciplinary approach to highlight critical aspects of the emerging closed-loop technologies relating to eating behaviour and weight effects and to promote discussion of strategies to optimize long-term health in Type 1 diabetes via two key outcomes: glycaemic control and weight management.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialBlood Glucose Self-MonitoringCognitionDiabetes Mellitus, Type 1Feeding BehaviorHealth BehaviorHumansInsulinModels, PsychologicalSelf-ControlInsulin

Identifiers

PMID28626906
PMCPMC5647213
OpenAlexW2654999350

What OpenQuestion holds

Textmetadata
LicenceTDM
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.