Evidence map›Paper›PMID 40282821›Full record

ReviewFoods (Basel, Switzerland)2025

Mapping the Quantitative Dose-Response Relationships Between Nutrients and Health Outcomes to Inform Food Risk-Benefit Assessment.

Gabriel Mateus, Cíntia Ferreira-Pêgo, Ricardo Assunção

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

3 authors.

Gabriel MateusEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal.ORCID 0009-0005-5107-3781
Cíntia Ferreira-PêgoCentro Cardiovascular da Universidade de Lisboa, CCUL (CCUL@RISE), Centro Académico de Medicina de Lisboa, CAML, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal.ORCID 0000-0001-6930-4107
Ricardo AssunçãoEgas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal.ORCID 0000-0002-4375-0456

Funding

Next Generation EU European Fund and the Portuguese Recovery and Resilience Plan (PRR) Project No. C644917393-00000032
6 · The paper itself

Abstract

In the context of the global food system transformation towards sustainable and healthy diets, risk-benefit assessment supported by quantitative dose-response relationships between nutrients and health outcomes is crucial for evaluating the public health impact of dietary modifications, particularly those involving novel foods. The primary aim of this review was to establish a foundational basis for RBA by compiling and synthesising quantitative dose-response relationships identified through a comprehensive literature review. This review encompassed the last 15 years up to March 2025, utilising databases such as PubMed, Scopus, and Web of Science. This review prioritised recent meta-analyses of observational studies and randomised controlled trials with a low risk of bias, as assessed using the ROBIS tool. This review identified significant dose-response relationships across 12 nutrients and their associations with various health outcomes. While dietary fibre has demonstrated broad protective effects, cereal fibre has been found to be the most beneficial for colorectal cancer prevention. Calcium has been shown to have inverse associations with several cancers, although high dairy intake may increase the risk of prostate cancer. Haem iron was linked to an increased risk of several chronic diseases, whereas non-haem iron showed less consistent associations. Zinc exhibited a potential U-shaped relationship with colorectal cancer risk. These findings underscore the complexity of nutrient-health relationships, highlighting the importance of considering dose-response gradients and nutrient sources. Although this overview primarily summarises quantitative associations without exploring in-depth mechanistic or population-specific details, it underscores the complexity of nutrient effects, including nonlinearity and source dependency. This analysis offers a valuable foundation for future risk-benefit assessments of various food scenarios, thereby informing dietary recommendations and public health strategies.

Indexed as

dietary modificationshealth outcomesnovel foodsnutrient dose–responserisk–benefit assessment

Identifiers

PMID40282821
PMCPMC12026834

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.