Evidence map›Paper›PMID 30706365›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2019

Efficacy of Real-Time Continuous Glucose Monitoring to Improve Effects of a Prescriptive Lifestyle Intervention in Type 2 Diabetes: A Pilot Study.

Penelope J Taylor, Campbell H Thompson, Natalie D Luscombe-Marsh, Thomas P Wycherley, Gary Wittert, Grant D Brinkworth

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
4.8field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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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 4 institutions in 1 country.

Penelope J TaylorCommonwealth Scientific and Industrial Research Organisation, Health and Biosecurity, Adelaide, Australia. Pennie.Taylor@csiro.au.ORCID http://orcid.org/0000-0001-8614-0829
Campbell H ThompsonDiscipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Natalie D Luscombe-MarshCommonwealth Scientific and Industrial Research Organisation, Health and Biosecurity, Adelaide, Australia.
Thomas P WycherleyAlliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.
Gary WittertDiscipline of Medicine, Adelaide Medical School, University of Adelaide, Adelaide, Australia.
Grant D BrinkworthCommonwealth Scientific and Industrial Research Organisation, Health and Biosecurity, Sydney, Australia.
Commonwealth Scientific and Industrial Research Organisation · AUSouth Australian Health and Medical Research Institute · AUThe University of Adelaide · AUUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOptimising patient adherence to prescribed lifestyle interventions to achieve improved blood glucose control remains a challenge. Combined use of real-time continuous glucose monitoring systems (RT-CGM) may promote improved glycaemic control. This pilot study examines the effects of a prescriptive lifestyle modification programme when combined with RT-CGM on blood glucose control and cardiovascular disease risk markers.

methodsTwenty adults (10 men, 10 women) with obesity and type-2 diabetes (T2D) (age 60.55 ± 8.38 years, BMI 34.22 ± 4.67 kg/m

resultsBoth groups experienced reductions in body weight (RT-CGM - 7.4 ± 4.5 kg vs. control - 5.5 ± 4.0 kg), HbA1c (- 0.67 ± 0.82% vs. - 0.68 ± 0.74%), fasting blood glucose (- 1.2 ± 1.9 mmol/L vs. - 1.0 ± 2.2 mmol/L), LDL-C (- 0.07 ± 0.34 mmol/L vs. - 0.26 ± 0.42 mmol/L) and triglycerides (- 0.32 ± 0.46 mmol/L vs. - 0.36 ± 0.53 mmol/L); with no differential effect between groups (P ≥ 0.10). At week 12, GV indices were consistently lower by at least sixfold in RT-CGM compared to control (CONGA-1 - 0.27 ± 0.36 mmol/L vs. 0.06 ± 0.19 mmol/L; CONGA-2 - 0.36 ± 0.54 mmol/L vs. 0.05 ± 2.88 mmol/L; CONGA-4 - 0.44 ± 0.67 mmol/L vs. - 0.02 ± 0.42 mmol/L; CONGA-8 - 0.36 ± 0.61 vs. 0.02 ± 0.52 mmol/L; MAGE - 0.69 ± 1.14 vs. - 0.09 ± 0.08 mmol/L, although there was insufficient power to achieve statistical significance (P ≥ 0.11). Overall, there was an approximately 40% greater reduction in blood glucose-lowering medication (MeS) in RT-CGM (- 0.30 ± 0.59) compared to control (0.02 ± 0.23).

conclusionThis study provides preliminary evidence that RT-CGM may be an effective strategy to optimise glucose control whilst following a low-carbohydrate lifestyle programme that targets improved glycaemic control, with minimal professional support.

trial registrationAustralian New Zealand Clinical Trials Registry identifier, ANZTR: 372898.

fundingGrant funding was received for the delivery of the clinical trial only, by the Diabetes Australia Research Trust (DART).

Indexed as

Glycemic variabilityReal-time continuous glucose monitoringType 2 diabetes

Identifiers

PMID30706365
PMCPMC6437235
OpenAlexW2912279407

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.