Evidence mapPaperPMID 27152153Full record

ReviewInternational journal of obesity supplements2012

Getting the label in: practical research strategies for tracing dietary fat.

J E Lambert, E J Parks

Registry-linked trialAbstract readReview
In one paragraph

Review in International journal of obesity supplements, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01371396 (Effect of Dietary Macronutrient Composition on Liver Substrate Metabolism), which is not on this map. Not yet cited in PubMed.

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

NCT01371396 nacompletednot on this map

Effect of Dietary Macronutrient Composition on Liver Substrate Metabolism

TypeinterventionalSponsorUniversity of Texas Southwestern Medical CenterRan2007 to 2013Enrolled24ConditionsMetabolic Syndrome, Non-alcoholic Fatty Liver Disease, ObesityArmsLow-fat diet, Low-carbohydrate diet
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

J E LambertCenter for Human Nutrition, University of Texas Southwestern Medical Center , Dallas, TX, USA.
E J ParksCenter for Human Nutrition, University of Texas Southwestern Medical Center , Dallas, TX, USA.

Funding

NIDDK NIH HHS RL1 DK081187
6 · The paper itself

Abstract

The observation that events occurring after consumption of a meal can directly affect metabolic risk has been gaining interest over the past 40 years. As a result, the desire for investigators to conduct postprandial studies has also increased. Study design decisions pertaining to the choice of meal quantity and composition are more difficult than may be readily apparent, and there is now ample evidence available in the literature to suggest that what is fed on the test day significantly affects postprandial metabolism and can therefore influence interpretation of results. In addition, events occurring before the testing day (food intake and activities) can also have an impact on the observed postprandial response. The goal of this review is to present aspects of study design critical to the investigation of postprandial metabolism. These details include subject preparation, meal quantity, form and composition, as well as sampling protocols for measuring metabolites. Key factors and practical examples are provided to minimize the impact of nonresearch variables on subject variability. Finally, aspects related to using stable isotope tracers to measure metabolism of meal fat are discussed, including choice of tracer form, dose and delivery in food. Given that fed-state events contribute significantly to chronic disease risk, improved methods to study the absorption and disposal of food energy will support the development of strategies designed to prevent and treat diseases associated with overconsumption of nutrients.

Indexed as

dietary fatfatty acidsmealspostprandial lipidsstable isotope

Identifiers

PMID27152153
PMCPMC4856198

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.