Evidence map›Paper›PMID 26415028›Full record

ReviewAnnals of the New York Academy of Sciences2015

Nutrition and the science of disease prevention: a systems approach to support metabolic health.

Brian J Bennett, Kevin D Hall, Frank B Hu, Anne L McCartney, Christina Roberto

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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

5 authors.

Brian J BennettDepartments of Genetics and Nutrition, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina.
Kevin D HallIntegrative Physiology Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
Frank B HuDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Anne L McCartneyFood and Nutritional Sciences, University of Reading, Reading, United Kingdom.
Christina RobertoDepartments of Social and Behavioral Sciences and Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
Computational modeling of human metabolism, body weight and compositionZIADK013036 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HALL, KEVIN · 2009 to 2024
$3.6M
NHLBI NIH HHS HL60712NHLBI NIH HHS R01 HL060712NIDDK NIH HHS DK58845NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK058845
6 · The paper itself

Abstract

Progress in nutritional science, genetics, computer science, and behavioral economics can be leveraged to address the challenge of noncommunicable disease. This report highlights the connection between nutrition and the complex science of preventing disease and discusses the promotion of optimal metabolic health, building on input from several complementary disciplines. The discussion focuses on (1) the basic science of optimal metabolic health, including data from gene-diet interactions, microbiome, and epidemiological research in nutrition, with the goal of defining better targets and interventions, and (2) how nutrition, from pharma to lifestyle, can build on systems science to address complex issues.

Indexed as

Gene-Environment InteractionLife StyleMetabolic DiseasesMicrobiotaAnimalsHumansNutritional Sciencesbody weightdiabetesgene-diet interactionsgut microbiomeobesitysystems science

Identifiers

PMID26415028
PMCPMC5298925

What OpenQuestion holds

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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.