Evidence mapPaperPMID 36404842Full record

ArticleJournal of diabetes and metabolic disorders2022

The OPTIMISE study protocol: a multicentre optimisation trial comparing continuous glucose monitoring, snacking habits, sleep extension and values-guided self-care interventions to improve glucose time-in-range in young people (13-20 years) with type 1 diabetes.

Shelley Rose, Jillian J Haszard, Barbara C Galland, Esko J Wiltshire, Martin I de Bock, Carmel E Smart, Miriama Ketu-McKenzie, Anna Campbell, Ruth Thomson, Craig A Jefferies and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 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
0.3field-weighted citation impact, top 41% 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.

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, 2 citations in OpenAlex.

  1. Sleep Disturbances in Type 1 Diabetes and Mitigating Cardiovascular Risk.The Journal of clinical endocrinology and metabolism · 2024
    Review
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

12 authors at 7 institutions in 2 countries.

Shelley RoseDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0001-9733-3829
Jillian J HaszardBiostatistics Centre, University of Otago, Dunedin, New Zealand.
Barbara C GallandDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Esko J WiltshireDepartment of Paediatrics & Child Health, University of Otago Wellington, Wellington, New Zealand.
Martin I de BockDepartment of Paediatrics, University of Otago, Christchurch, New Zealand.
Carmel E SmartHunter New England Local Health District, John Hunter Children's Hospital, New Lambton Heights, NSW Australia.
Miriama Ketu-McKenzieNgāti Tūwharetoa and Ngāti Raukawa (ki Horowhenua), Dunedin, New Zealand.
Anna CampbellPaediatric Department, Southern District Health Board, Dunedin, New Zealand.
Ruth ThomsonDietetic and Nutrition Services, Southern District Health Board, Dunedin, New Zealand.
Craig A JefferiesPaediatric Diabetes and Endocrinology Service, Starship Children's Health, Auckland, New Zealand.
Benjamin J WheelerDepartment of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Sara E StylesDepartment of Human Nutrition, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-8358-881X
Southern District Health Board · NZUniversity of Otago · NZCanterbury District Health Board · NZCapital and Coast District Health Board · NZJohn Hunter Hospital · AUPalmerston North Hospital · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The OPTIMISE study uses a Multiphase Optimisation Strategy (MOST) to identify the best combination of four interventions targeting key diabetes self-care behaviours for use in clinical practice to improve short-term glycaemic outcomes. Methods: This 4-week intervention trial will recruit 80 young people (aged 13-20 years) with type 1 diabetes ≥ 6 months duration), and pre-enrolment HbA1c ≥ 58 mmol/mol (7.5%) in the prior 6 months. Both main intervention and interaction effects will be estimated using a linear regression model with change in glucose time-in-range (TIR; 3.9-10.0 mmol/L) as the primary outcome. Participants will be randomised to one of 16 conditions in a factorial design using four intervention components: (1) real-time continuous glucose monitoring (CGM), (2) targeted snacking education, (3) individualised sleep extension, and (4) values-guided self-care goal setting. Baseline and post-intervention glucose TIR will be assessed with blinded CGM. Changes in self-care (snacking behaviours, sleep habits and duration, and psychosocial outcomes) will be assessed at baseline and post-intervention to determine if these interventions impacted behaviour change. Discussion: The study outcomes will enable the selection of effective and efficient intervention components that increase glucose TIR in young people who struggle to achieve targets for glycaemic control. The optimised intervention will be evaluated in a future randomised controlled trial and guide the planning of effective clinical interventions in adolescents and young adults living with type 1 diabetes. Trial registration: This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry on 7 October 2020 (ACTRN12620001017910) and the World Health Organisation International Clinical Trails Registry Platform on 26 July 2020 (Universal Trial Number WHO U1111-1256-1248).

Indexed as

AdolescentsContinuous glucose monitoringSleepSnackingSocial valuesType 1 diabetes

Identifiers

PMID36404842
PMCPMC9672181
OpenAlexW4291015862

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.