Evidence map›Paper›PMID 32001812›Full record

ArticleEuropean journal of clinical nutrition2020

A proposed simple method for objectively quantifying free sugars in foods and beverages.

David J Mela

Abstract read
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In one paragraph

Article in European journal of clinical nutrition, 2020. 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
1.4field-weighted citation impact, top 17% 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, 9 citations in OpenAlex.

  1. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    Article
  2. Review
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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

1 author at 1 institution in 1 country.

David J Mela, Valkenswaard, The Netherlands. djmela@djmela.eu.ORCID http://orcid.org/0000-0003-1824-4305
International Federation of Library Associations and Institutions · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health and regulatory assessments and guidance on sugars increasingly focus on free (rather than total or added) sugars in the diet. This emphasizes differentiation between sugars consumed within versus outside of an intact plant matrix. However, there is no analytical method for free sugars, and quantitative determination in heterogenous and processed products containing mixed sizes of plant particulates as ingredients (e.g., soups or chopped and cooked foods) is particularly problematic for nutrition declarations and monitoring. The method suggested here is based on sieving, with the particle size threshold derived from data on the typical end-products of mastication. This simple method could generate an objective, quantitative estimate of free sugars that logically corresponds to the free sugars concept in public health. It has the potential to be applied to many product types, and is proposed as a possible standard method for empirical testing and possible wider validation and endorsement.

Indexed as

BeveragesSugarsDietEnergy IntakeFoodFood LabelingHumansSugars

Identifiers

PMID32001812
OpenAlexW3003570714

What OpenQuestion holds

Textmetadata
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.