Evidence map›Paper›PMID 30519365›Full record

ReviewGenes & nutrition2018

Food intake biomarkers for apple, pear, and stone fruit.

Marynka Ulaszewska, Natalia Vázquez-Manjarrez, Mar Garcia-Aloy, Rafael Llorach, Fulvio Mattivi, Lars O Dragsted, Giulia Praticò, Claudine Manach

Abstract readReview
In one paragraph

Review in Genes & nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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

8 authors.

Marynka Ulaszewska *1Research and Innovation Centre Food Quality and Nutrition, Fondazione Edmund Mach, Via Mach 1, San Michele all'Adige, 38010 Trento, Italy.
Natalia Vázquez-Manjarrez *2Human Nutrition Unit, Université Clermont Auvergne, INRA, F63000 Clermont-Ferrand, France.
Mar Garcia-Aloy4Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain.
Rafael Llorach4Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain.
Fulvio Mattivi1Research and Innovation Centre Food Quality and Nutrition, Fondazione Edmund Mach, Via Mach 1, San Michele all'Adige, 38010 Trento, Italy.
Lars O Dragsted3Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Giulia Praticò3Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Claudine Manach2Human Nutrition Unit, Université Clermont Auvergne, INRA, F63000 Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fruit is a key component of a healthy diet. However, it is still not clear whether some classes of fruit may be more beneficial than others and whether all individuals whatever their age, gender, health status, genotype, or gut microbiota composition respond in the same way to fruit consumption. Such questions require further observational and intervention studies in which the intake of a specific fruit can be precisely assessed at the population and individual levels. Within the Food Biomarker Alliance Project (FoodBAll Project) under the Joint Programming Initiative "A Healthy Diet for a Healthy Life", an ambitious action was undertaken aiming at reviewing existent literature in a systematic way to identify validated and promising biomarkers of intake for all major food groups, including fruits. This paper belongs to a series of reviews following the same BFIRev protocol and is focusing on biomarkers of pome and stone fruit intake. Selected candidate biomarkers extracted from the literature search went through a validation process specifically developed for food intake biomarkers.

Indexed as

AppleApricotBiomarkersCherryIntakeNectarinePeachPearPlumPome fruitPruneQuinceStone fruit

Identifiers

PMID30519365
PMCPMC6267079

What OpenQuestion 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 OpenQuestion graph.