Evidence map›Paper›PMID 25498786›Full record

ArticleThe British journal of nutrition2015

Diet and glycaemia: the markers and their meaning. A report of the Unilever Nutrition Workshop.

Marjan Alssema, Hanny M Boers, Antonio Ceriello, Eric S Kilpatrick, David J Mela, Marion G Priebe, Patrick Schrauwen, Bruce H Wolffenbuttel, Andreas F H Pfeiffer

Open access · hybridAbstract read
In one paragraph

Article in The British journal of nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
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  7. Article
  8. Sex-dependent Differences in Liver and Gut Metabolomic Profiles With Acarbose and Calorie Restriction in C57BL/6 Mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
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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

9 authors at 8 institutions in 4 countries.

Marjan AlssemaUnilever R&D,Olivier van Noortlaan 120,Vlaardingen,The Netherlands.
Hanny M BoersUnilever R&D,Olivier van Noortlaan 120,Vlaardingen,The Netherlands.
Antonio CerielloInsititut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS),Barcelona,Spain.
Eric S KilpatrickDepartment of Clinical Biochemistry,Hull York Medical School,Hull,UK.
David J MelaUnilever R&D,Olivier van Noortlaan 120,Vlaardingen,The Netherlands.
Marion G PriebeCenter for Medical Biomics, University Medical Center Groningen,Groningen,The Netherlands.
Patrick SchrauwenDepartment of Human Biology,NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Center,Maastricht,The Netherlands.
Bruce H WolffenbuttelDepartment of Endocrinology,University of Groningen, University Medical Center Groningen,Groningen,The Netherlands.
Andreas F H PfeifferDepartment of Endocrinology,Diabetes and Nutrition, Charité Universitätsmedizin Berlin, Campus Benjamin Franklin,Berlin,Germany.
Unilever (Netherlands) · NLCharité - Universitätsmedizin Berlin · DEConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESEMGO Institute for Health and Care Research · NLHull York Medical School · GBMaastricht University · NLUniversity Medical Center Groningen · NLUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumption of carbohydrate-containing foods leads to transient postprandial rises in blood glucose concentrations that vary between food types. Higher postprandial glycaemic exposures have particularly been implicated in the development of chronic cardiometabolic diseases. Reducing such diet-related exposures may be beneficial not only for diabetic patients but also for the general population. A variety of markers have been used to track different aspects of glycaemic exposures, with most of the relevant knowledge derived from diabetic patients. The assessment of glycaemic exposures among the non-diabetic population may require other, more sensitive markers. The present report summarises key messages of presentations and related discussions from a workshop organised by Unilever intended to consider currently applied markers of glycaemic exposure. The particular focus of the meeting was to identify the potential applicability of glycaemic exposure markers for studying dietary effects in the non-diabetic population. Workshop participants concluded that markers of glycaemic exposures are sparsely used in intervention studies among non-diabetic populations. Continuous glucose monitoring remains the optimal approach to directly assess glycaemic exposure. Markers of glycaemic exposure such as glycated Hb, fructosamine, glycated albumin, 1,5-anhydroglucitol and advanced glycation end products can be preferred dependent on the aspect of interest (period of exposure and glucose variability). For all the markers of glycaemia, the responsiveness to interventions will probably be smaller among the non-diabetic than among the diabetic population. Further validation and acceptance of existing glycaemic exposure markers applied among the non-diabetic population would aid food innovation and better design of dietary interventions targeting glycaemic exposure.

Indexed as

Congresses as TopicBiomarkersBiomedical ResearchDietDietary CarbohydratesFood HandlingGlycemic LoadHumansHyperglycemiaResearch DesignBiomarkersDietary CarbohydratesDietFructosamineGlycaemiaGlycated Hb

Identifiers

PMID25498786
PMCPMC4302387
OpenAlexW2097128889

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.