Evidence map›Paper›PMID 31136985›Full record

ArticleFrontiers in bioscience (Landmark edition)2019

Analysis of repeated measures data in nutrition research.

Unkyung Lee, Tanya P Garcia, Raymond J Carroll, Kyler R Gilbreath, Guoyao Wu

Open access · greenAbstract read
In one paragraph

Article in Frontiers in bioscience (Landmark edition), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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 at 1 institution in 1 country.

Unkyung LeeDepartment of Statistics, Texas A&M University, College Station, TX 7743.
Tanya P GarciaDepartment of Statistics, Texas A&M University, College Station, TX 7743.
Raymond J CarrollDepartment of Statistics, Texas A&M University, College Station, TX 7743.
Kyler R GilbreathDepartment of Animal Science, Texas A&M University, College Station, TX 7743.
Guoyao WuDepartment of Animal Science, Texas A&M University, College Station, TX 7743, g-wu@tamu.edu.
Texas A&M University · US

Funding

Measurement Error, Nutrition, Physical Activity and CancerU01CA057030 · NCI · TEXAS A&M UNIVERSITY · PI CARROLL, RAYMOND J. · 2015 to 2019
$2.8M
Innovative Statistical Models for Development of First Huntington's Disease Progression Risk Assessment ToolK01NS099343 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GARCIA, TANYA PAMELA · 2017 to 2019
$739k
Nutrition, Biostatistics & Bioinformatics Training GrantT32CA090301 · NCI · TEXAS A&M UNIVERSITY · PI CARROLL, RAYMOND J. · 2016 to 2020
$712k
NCI NIH HHS T32 CA090301NCI NIH HHS U01 CA057030NINDS NIH HHS K01 NS099343
6 · The paper itself

Abstract

Amino acid nutrition studies often involve repeated measures data. An example is that the concentrations of plasma citrulline in steers are repeatedly measured from the same animals. The standard repeated measures ANOVA method does not detect significant time changes in the concentrations of plasma citrulline within 6 hours after steers consumed rumen-protected citrulline, while a graphical analysis indicates that there exists a time effect. Here we describe three mixed model analyses that capture the time effect in a statistically significant way, while accounting for the correlations of measurements over time from the same steers. First, we allow flexible variance-covariance structures on our model. Second, we use baseline measurements as a covariate in our model. Third, we use percent-change from baseline as a data normalization method. In our data analysis, all these three approaches can lead to meaningful statistical results that oral administration of rumen-protected citrulline enhances the concentrations of plasma citrulline over time in ruminants. This supports the notion that rumen-protected citrulline can bypass the rumen to effectively enter the blood circulation.

Indexed as

Animal Nutritional Physiological PhenomenaAlgorithmsAnimalsCattleCitrullineMaleModels, BiologicalRumenTime FactorsCitrulline

Identifiers

PMID31136985
PMCPMC6556387
OpenAlexW2947830934

What OpenQuestion holds

Textmetadata
LicenceTDM
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.