Evidence map›Paper›PMID 31130625›Full record

ArticleNutrients2019

Predicting Glycemic Index and Glycemic Load from Macronutrients to Accelerate Development of Foods and Beverages with Lower Glucose Responses.

Andreas Rytz, Dorothée Adeline, Kim-Anne Lê, Denise Tan, Lisa Lamothe, Olivier Roger, Katherine Macé

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

7 authors at 2 institutions in 2 countries.

Andreas RytzNestlé Research Center, 1000 Lausanne, Switzerland. andreas.rytz@rdls.nestle.com.ORCID 0000-0001-5992-9154
Dorothée AdelineScience and Technology, CPW, 1350 Orbe, Switzerland. dorothee.adeline@rd.nestle.com.
Kim-Anne LêNestlé Research Center, 1000 Lausanne, Switzerland. kim-anne.le@rdls.nestle.com.
Denise TanNestlé R&D Center, Singapore 618802, Singapore. denise.tan@rdsg.nestle.com.
Lisa LamotheNestlé Research Center, 1000 Lausanne, Switzerland. lisa.lamothe@rdls.nestle.com.
Olivier RogerNestlé Research Center, 1000 Lausanne, Switzerland. olivier.roger@rdls.nestle.com.
Katherine MacéNestlé Research Center, 1000 Lausanne, Switzerland. catherine.mace@rdls.nestle.com.
Nestlé (Switzerland) · CHNestlé (Singapore) · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low glycemic index (GI) and/or low glycemic load (GL) are associated with decreased risks of type-2 diabetes and cardiovascular disease. It is therefore relevant to consider GI and GL in the early phases of the development of packaged foods and beverages. This paper proposes a model that predicts GI and GL from macronutrient composition, by quantifying both the impact of glycemic carbohydrates and the GI-lowering effects of nutrients such as proteins, fats and fibers. The precision of the model is illustrated using data on 42 breakfast cereals. The predictions of GI (

Indexed as

DietGlycemic IndexGlycemic LoadModels, BiologicalAdultBeveragesBlood GlucoseBreakfastCardiovascular DiseasesDiabetes Mellitus, Type 2Dietary CarbohydratesDietary FatsDietary FiberDietary ProteinsEdible GrainFeeding BehaviorBlood GlucoseDietary CarbohydratesDietary FatsDietary FiberDietary ProteinsNutrientsglycemic indexglycemic loadmacronutrient compositionmodel

Identifiers

PMID31130625
PMCPMC6566235
OpenAlexW2945993124

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.