Evidence map›Paper›PMID 30575114›Full record

ArticleDiabetic medicine : a journal of the British Diabetic Association2019

The impact of using a closed-loop system on food choices and eating practices among people with Type 1 diabetes: a qualitative study involving adults, teenagers and parents.

J Lawton, M Blackburn, D Rankin, J Allen, F Campbell, L Leelarathna, M Tauschmann, H Thabit, M E Wilinska, R Hovorka and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Diabetic medicine : a journal of the British Diabetic Association, 2019. 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 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 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.

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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

J LawtonUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-8016-7374
M BlackburnUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
D RankinUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-5835-3402
J AllenWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
F CampbellLeeds Children's Hospital, Leeds, UK.
L LeelarathnaManchester Diabetes Centre, Manchester University NHS Foundation Trust and University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
M TauschmannWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
H ThabitManchester Diabetes Centre, Manchester University NHS Foundation Trust and University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.ORCID 0000-0001-6076-6997
M E WilinskaWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
R HovorkaWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2901-461X
APCam11 Consortium

Funding

One year day-and-night home closed loop in young people with type 1 diabetesUC4DK108520 · NIDDK · UNIVERSITY OF CAMBRIDGE · PI BERGENSTAL, RICHARD MAURITZ, BUCKINGHAM, BRUCE A · 2015 to 2015
$6.3M
Department of Health 14/23/09NIDDK NIH HHS UC4 DK108520Wellcome Strategic Award 100574/Z/12/ZWellcome Trust
6 · The paper itself

Abstract

aimsWe explored whether, how and why moving onto and using a hybrid day-and-night closed-loop system affected people's food choices and dietary practices to better understand the impact of this technology on everyday life and inform recommendations for training and support given to future users.

methodsTwenty-four adults, adolescents and parents were interviewed before commencing use of the closed-loop system and following its 3-month use. Data were analysed thematically and longitudinally.

resultsWhile participants described preparing and/or eating similar meals to those consumed prior to using a closed-loop, many described feeling more normal and less burdened by diabetes in dietary situations. Individuals also noted how the use of this technology could lead to deskilling (less precise carbohydrate counting) and less healthy eating (increased snacking and portion sizes and consumption of fatty, energy-dense foods) because of the perceived ability of the system to deal with errors in carbohydrate counting and address small rises in blood glucose without a corrective dose needing to be administered.

conclusionsWhile there may be quality-of-life benefits to using a closed-loop, individuals might benefit from additional nutritional and behavioural education to help promote healthy eating. Refresher training in carbohydrate counting may also be necessary to help ensure that users are able to undertake diabetes management in situations where the technology might fail or that they take a break from using it.

Indexed as

Diabetes Mellitus, Type 1Food PreferencesInsulin Infusion SystemsAdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringChoice BehaviorDietFeeding BehaviorFemaleHumansInsulinLongitudinal StudiesMaleMiddle AgedBlood GlucoseInsulin

Identifiers

PMID30575114
PMCPMC6510609

What OpenQuestion holds

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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.