Evidence map›Paper›PMID 34444826›Full record

ReviewNutrients2021

Toward an Evidence-Based Definition and Classification of Carbohydrate Food Quality: An Expert Panel Report.

Kevin B Comerford, Yanni Papanikolaou, Julie Miller Jones, Judith Rodriguez, Joanne Slavin, Siddhartha Angadi, Adam Drewnowski

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

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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

7 authors at 6 institutions in 1 country.

Kevin B ComerfordOMNI Nutrition Science, Davis, CA 95616, USA.ORCID 0000-0003-0559-4824
Yanni PapanikolaouNutritional Strategies Inc., Nutrition Research & Regulatory Affairs, Paris, ON N3L0A3, Canada.
Julie Miller JonesEmerita, Department of Nutrition and Exercise Science, St. Catherine University, St. Paul, MN 55105, USA.
Judith RodriguezDepartment of Nutrition & Dietetics, Brooks College of Health, University of North Florida, Jacksonville, FL 32224, USA.ORCID 0000-0003-2802-9836
Joanne SlavinDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA.
Siddhartha AngadiSchool of Education and Human Development, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-2932-7926
Adam DrewnowskiCenter for Public Health Nutrition, University of Washington, Seattle, WA 98195, USA.
Nutritional Research Foundation · USSt. Catherine University · USUniversity of Minnesota · USUniversity of North Florida · USUniversity of Virginia · USUniversity of Washington · US

Funding

Potatoes, USA N/A
6 · The paper itself

Abstract

Carbohydrate-containing crops provide the bulk of dietary energy worldwide. In addition to their various carbohydrate forms (sugars, starches, fibers) and ratios, these foods may also contain varying amounts and combinations of proteins, fats, vitamins, minerals, phytochemicals, prebiotics, and anti-nutritional factors that may impact diet quality and health. Currently, there is no standardized or unified way to assess the quality of carbohydrate foods for the overall purpose of improving diet quality and health outcomes, creating an urgent need for the development of metrics and tools to better define and classify high-quality carbohydrate foods. The present report is based on a series of expert panel meetings and a scoping review of the literature focused on carbohydrate quality indicators and metrics produced over the last 10 years. The report outlines various approaches to assessing food quality, and proposes next steps and principles for developing improved metrics for assessing carbohydrate food quality. The expert panel concluded that a composite metric based on nutrient profiling methods featuring inputs such as carbohydrate-fiber-sugar ratios, micronutrients, and/or food group classification could provide useful and informative measures for guiding researchers, policymakers, industry, and consumers towards a better understanding of carbohydrate food quality and overall healthier diets. The identification of higher quality carbohydrate foods could improve evidence-based public health policies and programming-such as the 2025-2030 Dietary Guidelines for Americans.

Indexed as

DietDietary CarbohydratesEatingFood QualityDietary FiberDietary ProteinsDiet, HealthyGlycemic IndexMicronutrientsMineralsNutrientsNutrition PolicyPhytochemicalsPrebioticsVitaminsWhole GrainsDietary CarbohydratesDietary FiberDietary ProteinsMicronutrientsMineralsNutrientsPhytochemicalsPrebioticsVitaminscarbohydrate foodscarbohydrate qualitydiet qualityfiberfood groupsglycemic indexglycemic loadnutrient densitynutrient profilingwhole grain

Identifiers

PMID34444826
PMCPMC8398407
OpenAlexW3192779413

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.