Evidence mapPaperPMID 38443427Full record

Trial reportScientific reports2024

Assessment of the impact of a personalised nutrition intervention in impaired glucose regulation over 26 weeks: a randomised controlled trial.

Maria Karvela, Caroline T Golden, Nikeysha Bell, Stephanie Martin-Li, Judith Bedzo-Nutakor, Natalie Bosnic, Pierre DeBeaudrap, Sara de Mateo-Lopez, Ahmed Alajrami, Yun Qin and 8 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03702465 (Assessment of the Impact of a Personalised Nutrition Intervention in Impaired Glucose Regulation), which is not on this map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT03702465 nacompletednot on this map

Assessment of the Impact of a Personalised Nutrition Intervention in Impaired Glucose Regulation

TypeinterventionalSponsorImperial College LondonRan2018 to 2022Enrolled180ConditionsPre DiabetesArmsDNA-based dietary intervention, DNA-based dietary intervention using an app, Control arm
3 · Its place in the literature

Who cites it

12 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

18 authors.

Maria Karvela *Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.ORCID http://orcid.org/0000-0001-6369-2786
Caroline T Golden *Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.ORCID http://orcid.org/0000-0003-2530-3975
Nikeysha BellDnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.ORCID http://orcid.org/0000-0002-6504-6443
Stephanie Martin-LiDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Judith Bedzo-NutakorDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Natalie BosnicDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Pierre DeBeaudrapCentre for Population and Development (Ceped), French National Institute for Sustainable Development (IRD), and Paris University, Inserm ERL, 1244, Paris, France.ORCID http://orcid.org/0000-0002-9037-6057
Sara de Mateo-LopezDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.ORCID http://orcid.org/0000-0003-4754-6599
Ahmed AlajramiDnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.
Yun QinDnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.
Maria EzeDnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.
Tsz-Kin HonDnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.
Javier Simón-SánchezDnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.
Rashmita SahooDnaNudge Ltd, Scale Space, Imperial College London, White City Campus, London, UK.
Jonathan Pearson-StuttardSchool of Public Health, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-2175-9975
Patrick Soon-ShiongDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK.
Christofer ToumazouDepartment of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, UK. c.toumazou@imperial.ac.uk.ORCID http://orcid.org/0000-0001-8773-7360
Nick OliverDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3525-3633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary interventions can reduce progression to type 2 diabetes mellitus (T2DM) in people with non-diabetic hyperglycaemia. In this study we aimed to determine the impact of a DNA-personalised nutrition intervention in people with non-diabetic hyperglycaemia over 26 weeks. ASPIRE-DNA was a pilot study. Participants were randomised into three arms to receive either (i) Control arm: standard care (NICE guidelines) (n = 51), (ii) Intervention arm: DNA-personalised dietary advice (n = 50), or (iii) Exploratory arm: DNA-personalised dietary advice via a self-guided app and wearable device (n = 46). The primary outcome was the difference in fasting plasma glucose (FPG) between the Control and Intervention arms after 6 weeks. 180 people were recruited, of whom 148 people were randomised, mean age of 59 years (SD = 11), 69% of whom were female. There was no significant difference in the FPG change between the Control and Intervention arms at 6 weeks (- 0.13 mmol/L (95% CI [- 0.37, 0.11]), p = 0.29), however, we found that a DNA-personalised dietary intervention led to a significant reduction of FPG at 26 weeks in the Intervention arm when compared to standard care (- 0.019 (SD = 0.008), p = 0.01), as did the Exploratory arm (- 0.021 (SD = 0.008), p = 0.006). HbA1c at 26 weeks was significantly reduced in the Intervention arm when compared to standard care (- 0.038 (SD = 0.018), p = 0.04). There was some evidence suggesting prevention of progression to T2DM across the groups that received a DNA-based intervention (p = 0.06). Personalisation of dietary advice based on DNA did not result in glucose changes within the first 6 weeks but was associated with significant reduction of FPG and HbA1c at 26 weeks when compared to standard care. The DNA-based diet was effective regardless of intervention type, though results should be interpreted with caution due to the low sample size. These findings suggest that DNA-based dietary guidance is an effective intervention compared to standard care, but there is still a minimum timeframe of adherence to the intervention before changes in clinical outcomes become apparent.Trial Registration: www.clinicaltrials.gov.uk Ref: NCT03702465.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaAgedDNAFemaleGlucoseGlycated HemoglobinHumansMaleMiddle AgedPilot ProjectsDNAGlucoseGlycated Hemoglobin

Identifiers

PMID38443427
PMCPMC10914757

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.