Evidence map›Paper›PMID 34072564›Full record

ArticleNutrients2021

The Use of Non-Nutritive and Low-Calorie Sweeteners in 19,915 Local and Imported Pre-Packaged Foods in Hong Kong.

Billy Yin Sing O, Daisy H Coyle, Elizabeth K Dunford, Jason H Y Wu, Jimmy Chun Yu Louie

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Steviol Glycosides (E960) FromFood science & nutrition · 2026
    Review
  2. Article
  3. Article
  4. Article
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  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Public health nutrition · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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

5 authors.

Billy Yin Sing OSchool of Biological Sciences, Faculty of Science, The University of Hong Kong, Hong Kong 999077, China.
Daisy H CoyleFood Policy Division, The George Institute for Global Health, University of New South Wales, Kensington, NSW 2052, Australia.
Elizabeth K DunfordFood Policy Division, The George Institute for Global Health, University of New South Wales, Kensington, NSW 2052, Australia.ORCID 0000-0003-4505-3256
Jason H Y WuFood Policy Division, The George Institute for Global Health, University of New South Wales, Kensington, NSW 2052, Australia.ORCID 0000-0003-2073-3562
Jimmy Chun Yu LouieSchool of Biological Sciences, Faculty of Science, The University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-7736-605X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to examine the use of non-nutritive (NNSs) and low-calorie sweeteners (LCSs) in pre-packaged foods in Hong Kong and the differences in the number of NNSs/LCSs used between products from different regions. In a cross-sectional audit, the types of NNSs/LCSs used in 19,915 pre-packaged foods in Hong Kong were examined by searching the ingredients list of the included products for keywords related to 20 common NNSs/LCSs and their respective E-numbers. Prevalence of use of NNSs and LCSs, the co-presence of NNSs/LCSs and free sugar ingredients (FSI), and the number of NNSs/LCSs used in the included foods were computed. Pearson's

Indexed as

Energy IntakeFood PackagingCross-Sectional StudiesDietFood AnalysisHong KongHumansNon-Nutritive SweetenersNutritive SweetenersNon-Nutritive SweetenersNutritive SweetenersHong Kongintense sweetenerslow-calorie sweetenersnon-nutritive sweetenerspre-packaged foodssugar substitutes

Identifiers

PMID34072564
PMCPMC8229473

What OpenQuestion holds

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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.