Evidence map›Paper›PMID 33763626›Full record

ArticleCurrent developments in nutrition2021

Effect of Manual Data Cleaning on Nutrient Intakes Using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24).

Yasmine Y Bouzid, Joanne E Arsenault, Ellen L Bonnel, Eduardo Cervantes, Annie Kan, Nancy L Keim, Danielle G Lemay, Charles B Stephensen

Registry-linked trialAbstract read
In one paragraph

Article in Current developments in nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02367287 (Assessing the Impact of Diet on Inflammation in Healthy and Obese Adults in a Cross-Sectional Phenotyping Study), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

NCT02367287 completednot on this map

Assessing the Impact of Diet on Inflammation in Healthy and Obese Adults in a Cross-Sectional Phenotyping Study

TypeobservationalSponsorUSDA, Western Human Nutrition Research CenterRan2015 to 2019Enrolled393ConditionsObesity, Inflammation
3 · Its place in the literature

Who cites it

15 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

8 authors.

Yasmine Y BouzidUSDA Agricultural Research Service Western Human Nutrition Research Center, Davis, CA, USA.
Joanne E ArsenaultDepartment of Nutrition, University of California, Davis, Davis, CA, USA.
Ellen L BonnelUSDA Agricultural Research Service Western Human Nutrition Research Center, Davis, CA, USA.
Eduardo CervantesUSDA Agricultural Research Service Western Human Nutrition Research Center, Davis, CA, USA.
Annie KanUSDA Agricultural Research Service Western Human Nutrition Research Center, Davis, CA, USA.
Nancy L KeimUSDA Agricultural Research Service Western Human Nutrition Research Center, Davis, CA, USA.
Danielle G LemayUSDA Agricultural Research Service Western Human Nutrition Research Center, Davis, CA, USA.
Charles B StephensenUSDA Agricultural Research Service Western Human Nutrition Research Center, Davis, CA, USA.ORCID https://orcid.org/0000-0002-2117-2237

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

backgroundAutomated dietary assessment tools such as ASA24

objectivesWe evaluated the effects of modifications made during manual data cleaning on nutrient intakes of interest: energy, carbohydrate, total fat, protein, and fiber.

methodsDifferences in mean intake before and after data cleaning modifications for all recalls and average intakes per subject were analyzed by paired

resultsAfter excluding 11 recalls with invalidating technical errors, 1499 valid recalls completed by 393 subjects were included in this analysis. We found significant differences before and after modifications for energy, carbohydrate, total fat, and protein intakes for all recalls (

conclusionsManual modifications can change mean nutrient intakes for an entire cohort and individuals. However, modifications did not significantly affect the correlation of energy intake with predictive requirements and measured expenditure. Investigators can consider their research question and nutrients of interest when deciding to make cleaning modifications.

Indexed as

24-hour recallASA24data cleaningdietary assessmenttotal energy expenditure

Identifiers

PMID33763626
PMCPMC7965072

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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 OpenQuestion graph.