Evidence map›Paper›PMID 37588050›Full record

ArticleFrontiers in nutrition2023

Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions.

Célina Chkroun, Inez Trouwborst, Anna Cherta-Murillo, Lauren Owen, Christian Darimont, Andreas Rytz

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Trial
  3. 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

6 authors at 1 institution in 1 country.

Célina ChkrounClinical Research Unit, Nestlé Research, Lausanne, Switzerland.
Inez TrouwborstMetabolic Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Anna Cherta-MurilloMetabolic Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Lauren OwenBrain Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Christian DarimontMetabolic Health Department, Nestlé Institute of Health Sciences, Nestlé Research, Lausanne, Switzerland.
Andreas RytzClinical Research Unit, Nestlé Research, Lausanne, Switzerland.
Nestlé (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and robust estimation of individuals' basal glucose level is a crucial measure in nutrition research but is typically estimated from one or more morning fasting samples. The use of Continuous Glucose Monitoring (CGM) devices presents an opportunity to define more robust basal glucose levels, which estimates can be generalized to any time of the day. However, to date, no standardized method has been delineated. The current paper seeks to define a reliable algorithm to characterize the individual's basal glucose level over 24 h from CGM measurements. Data drawn from four nutritional intervention studies performed on adults free from chronic diseases were used to define that basal glucose levels were optimally estimated using the 40th percentile of the previous 24 h CGM data. This simple algorithm provides a Continuous Glucose Baseline over 24 h (24 h-CGB) that is an unbiased and highly correlated estimator (

Indexed as

basal glucoseContinuous Glucose Baseline (24 h-CGB)Continuous Glucose Monitoringfasting glucosenutritional intervention

Identifiers

PMID37588050
PMCPMC10425768
OpenAlexW4385411063

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.