Evidence map›Paper›PMID 41572975›Full record

ReviewFrontiers in nutrition2025

Measuring sugar intake in oral health birth cohort studies: a scoping review.

Shilpa Sarawagi, Karla Gambetta-Tessini, Silas Alves-Costa, Marly Augusto Cardoso, Gustavo G Nascimento, Karen G Peres

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shilpa SarawagiNational Dental Research Institute Singapore, National Dental Centre Singapore, Singapore, Singapore.
Karla Gambetta-TessiniNational Dental Research Institute Singapore, National Dental Centre Singapore, Singapore, Singapore.
Silas Alves-CostaGraduate Program in Dentistry, Federal University of Maranhão, São Luís, Brazil.
Marly Augusto CardosoDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil.
Gustavo G NascimentoNational Dental Research Institute Singapore, National Dental Centre Singapore, Singapore, Singapore.
Karen G PeresNational Dental Research Institute Singapore, National Dental Centre Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous reviews have explored the relationship between sugar intake and various health conditions, with specific recommendations for sugar intake thresholds in medical and dental research. However, heterogeneity in dietary assessment methods used to measure sugar intake has posed challenges. This scoping review aimed to identify and map the methods assessing sugar intake in oral health birth cohort studies (OHBCS). Using the Population-Concept-Context framework, the review included participants in OHBCS, dietary assessment methods measuring sugar intake associated with oral health outcomes from studies conducted worldwide. Data from PubMed, Embase, Web of Science, Scopus, and Dentistry & Oral Sciences Source were searched until June 2025, with no date and language restrictions. Articles from a previous OHBCS scoping review and its 3-year update were also included. From 2,297 screened articles, 34 studies representing 24 OHBCS across 13 countries (77% from high-income countries) met the inclusion criteria. Dietary assessment methods to assess sugar intake identified included Food Frequency Questionnaire (FFQ,

Indexed as

birth cohort studiesdietary assessmentoral health outcomessugar intakesugar-sweetened beverage

Identifiers

PMID41572975
PMCPMC12821232

What OpenQuestion holds

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LicenceCC BY
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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.