Evidence mapPaperPMID 42255348Full record

ArticleMethodsX2026

Metabolomics and ultra-processed foods intake: A scoping review protocol.

Talita do Nascimento Peixoto, Anna Luisa Moura Alencar Rocha, Lucia Fátima Campos Pedrosa

Abstract read
In one paragraph

Article in MethodsX, 2026. 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

3 authors.

Talita do Nascimento PeixotoGraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Av. Cordeiro de Farias s/n, Natal 59012-570, RN, Brazil.
Anna Luisa Moura Alencar RochaGraduate Program in Nutrition, Federal University of Rio Grande do Norte, Av. Salgado Filho, 3000-Lagoa Nova, Natal 59078-970, RN, Brazil.
Lucia Fátima Campos PedrosaGraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Av. Cordeiro de Farias s/n, Natal 59012-570, RN, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between the consumption of ultra-processed foods (UPFs) and adverse health outcomes remains unclear regarding its mechanistic explanation. In this context, metabolomics emerges as a promising approach for identifying biomarkers and understanding the metabolic effects of these foods on the body. However, the evidence linking metabolomic profiles to UPFs consumption remains limited and heterogeneous. This scoping review aims to map and synthesize the available scientific evidence on the use of metabolomics in the study of UPFs consumption, characterize the study designs and methodological approaches employed, and identify knowledge gaps. The review will be conducted according to the JBI methodology and reported in accordance with the PRISMA-ScR checklist. Searches will be performed in the PubMed/MEDLINE, Embase, LILACS and Web of Science databases. Two reviewers will independently screen titles, abstracts, and full-text articles for inclusion. Data will be extracted using a standardized form and synthesized narratively. This review is expected to provide a comprehensive overview of the available evidence, highlight methodological heterogeneity, and identify gaps that may guide future research. The protocol was registered in the Open Science Framework (OSF).

Indexed as

MetabolomicsNOVA classificationNutritional epidemiologyUltra-processed foods

Identifiers

PMID42255348
PMCPMC13235362

What Socratic holds

Textmetadata
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 Socratic graph.