Evidence map›Paper›PMID 29484030›Full record

ReviewGenes & nutrition2018

Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery.

Giulia Praticò, Qian Gao, Augustin Scalbert, Guy Vergères, Marjukka Kolehmainen, Claudine Manach, Lorraine Brennan, Sri Harsha Pedapati, Lydia A Afman, David S Wishart and 6 more

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 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

16 authors.

Giulia Praticò1Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Qian Gao1Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Augustin Scalbert2Nutrition and Metabolism Section, Biomarkers Group, International Agency for Research on Cancer (IARC), Lyon, France.
Guy Vergères3Agroscope, Federal Office of Agriculture, Berne, Switzerland.
Marjukka Kolehmainen4University of Eastern Finland, Kuopio, Finland.
Claudine Manach5INRA, Human Nutrition Unit, Université Clermont Auvergne, F63000 Clermont-Ferrand, France.
Lorraine Brennan6UCD, Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
Sri Harsha Pedapati6UCD, Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
Lydia A Afman7Division of Human Nutrition, Wageningen UR, Wageningen, The Netherlands.
David S Wishart8Department of Biological Sciences, University of Alberta, Edmonton, Canada.
Rosa Vázquez-Fresno8Department of Biological Sciences, University of Alberta, Edmonton, Canada.
Cristina Andres-Lacueva9Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain.
Mar Garcia-Aloy9Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain.
Hans Verhagen11European Food Safety Authority (EFSA), Parma, Italy.
Edith J M Feskens7Division of Human Nutrition, Wageningen UR, Wageningen, The Netherlands.
Lars O Dragsted1Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Identification of new biomarkers of food and nutrient intake has developed fast over the past two decades and could potentially provide important new tools for compliance monitoring and dietary intake assessment in nutrition and health science. In recent years, metabolomics has played an important role in identifying a large number of putative biomarkers of food intake (BFIs). However, the large body of scientific literature on potential BFIs outside the metabolomics area should also be taken into account. In particular, we believe that extensive literature reviews should be conducted and that the quality of all suggested biomarkers should be systematically evaluated. In order to cover the literature on BFIs in the most appropriate and consistent manner, there is a need for appropriate guidelines on this topic. These guidelines should build upon guidelines in related areas of science while targeting the special needs of biomarker methodology. This document provides a guideline for conducting an extensive literature search on BFIs, which will provide the basis to systematically validate BFIs. This procedure will help to prioritize future work on the identification of new potential biomarkers and on validating these as well as other biomarker candidates, thereby providing better tools for future studies in nutrition and health.

Indexed as

BiomarkersFood exposure markersLiterature search methodologyMetabolomicsSystematic review

Identifiers

PMID29484030
PMCPMC5819202

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.