Evidence map›Paper›PMID 24787490›Full record

ReviewThe American journal of clinical nutrition2014

Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits.

Raul Zamora-Ros, Marina Touillaud, Joseph A Rothwell, Isabelle Romieu, Augustin Scalbert

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The American journal of clinical nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 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

48 citing papers in PubMed, 2 syntheses or guidelines 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

5 authors.

Raul Zamora-RosFrom the Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France (RZ-R, JAR, IR, and AS); the Unit of Nutrition, Environment, and Cancer, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain (RZ-R); and the Cancer and Environment Unit, Centre Léon Bérard, Lyon, France (MT).
Marina TouillaudFrom the Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France (RZ-R, JAR, IR, and AS); the Unit of Nutrition, Environment, and Cancer, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain (RZ-R); and the Cancer and Environment Unit, Centre Léon Bérard, Lyon, France (MT).
Joseph A RothwellFrom the Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France (RZ-R, JAR, IR, and AS); the Unit of Nutrition, Environment, and Cancer, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain (RZ-R); and the Cancer and Environment Unit, Centre Léon Bérard, Lyon, France (MT).
Isabelle RomieuFrom the Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France (RZ-R, JAR, IR, and AS); the Unit of Nutrition, Environment, and Cancer, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain (RZ-R); and the Cancer and Environment Unit, Centre Léon Bérard, Lyon, France (MT).
Augustin ScalbertFrom the Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France (RZ-R, JAR, IR, and AS); the Unit of Nutrition, Environment, and Cancer, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain (RZ-R); and the Cancer and Environment Unit, Centre Léon Bérard, Lyon, France (MT).

Funding

World Health Organization 001
6 · The paper itself

Abstract

Much experimental evidence supports a protective role of dietary polyphenols against chronic diseases such as cardiovascular diseases, diabetes, and cancer. However, results from observational epidemiologic studies are still limited and are often inconsistent. This is largely explained by the difficulties encountered in the estimation of exposure to the polyphenol metabolome, which is composed of ~500 polyphenols distributed across a wide variety of foods and characterized by diverse biological properties. Exposure to the polyphenol metabolome in epidemiologic studies can be assessed by the use of detailed dietary questionnaires or the measurement of biomarkers of polyphenol intake. The questionnaire approach has been greatly facilitated by the use of new databases on polyphenol composition but is limited by bias as a result of self-reporting. The use of polyphenol biomarkers holds much promise for objective estimation of polyphenol exposure in future metabolome-wide association studies. These approaches are reviewed and their advantages and limitations discussed by using examples of epidemiologic studies on polyphenols and cancer. The current improvement in these techniques, along with greater emphasis on the intake of individual polyphenols rather than polyphenols considered collectively, will help unravel the role of these major food bioactive constituents in disease prevention.

Indexed as

Biological AvailabilityBiomarkersDatabases, FactualEpidemiologic StudiesHumansMetabolomeNeoplasmsNutrition AssessmentObservational Studies as TopicPolyphenolsReproducibility of ResultsSurveys and QuestionnairesBiomarkersPolyphenols

Identifiers

PMID24787490
PMCPMC4144095

What OpenQuestion holds

Textmetadata
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.