Evidence map›Paper›PMID 35631264›Full record

Observational studyNutrients2022

Personalised Nutritional Recommendations Based on Individual Post-Prandial Glycaemic Responses Improve Glycaemic Metrics and PROMs in Patients with Type 2 Diabetes: A Real-World Assessment.

Madlen Ungersboeck, Xiaowen Tang, Vanessa Neeff, Dominic Steele, Pascal Grimm, Matthew Fenech

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
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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.

Madlen UngersboeckUna Health GmbH, Rosenthaler Str. 13, 10119 Berlin, Germany.
Xiaowen TangUna Health GmbH, Rosenthaler Str. 13, 10119 Berlin, Germany.
Vanessa NeeffUna Health GmbH, Rosenthaler Str. 13, 10119 Berlin, Germany.
Dominic SteeleUna Health GmbH, Rosenthaler Str. 13, 10119 Berlin, Germany.
Pascal GrimmUna Health GmbH, Rosenthaler Str. 13, 10119 Berlin, Germany.
Matthew FenechUna Health GmbH, Rosenthaler Str. 13, 10119 Berlin, Germany.ORCID 0000-0001-9970-0215

Funding

Una Health GmBh N/A
6 · The paper itself

Abstract

The recommended first-line therapy in type 2 diabetes (T2D) is lifestyle modification. In many patients, such interventions fail, and disease progresses inexorably to medication requirement. A potential reason for the failure of standard nutritional interventions is the use of generic dietary advice, with no personalisation to account for differences in the effect of food on blood glucose between different individuals. Another is the lack of instant feedback on the impact of dietary modification on glycaemic control, which supports sustained behaviour change. The use of continuous glucose monitoring (CGM) may help address both these shortcomings. We conducted an observational study to explore how personalised nutritional information impacts glycaemic control and patient-reported outcome measures (PROMs) of well-being. Free-living people with T2D eating their normal diet were provided with personalised nutritional recommendations by state-registered nutritionists based on the CGM-enabled analysis of individual post-prandial glycaemic responses (PPGRs). Participants demonstrated considerable inter-individual differences in PPGRs, reductions in post-prandial incremental area under the curve (iAUC) and daytime AUC, and improvements in energy levels, ability to concentrate, and other PROMs. These results suggest a role for personalised nutritional recommendations based on individual-level understanding of PPGRs in the non-pharmaceutical management of T2D.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Blood Glucose Self-MonitoringHumansPostprandial PeriodBlood Glucosecontinuous glucose monitoringdigital toolspersonalised nutritiontype 2 diabetes

Identifiers

PMID35631264
PMCPMC9145975
OpenAlexW4280618085

What OpenQuestion 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 OpenQuestion graph.