Evidence map›Paper›PMID 23921297›Full record

ArticleNutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition2013

Comparison of predictive equations and measured resting energy expenditure among obese youth attending a pediatric healthy weight clinic: one size does not fit all.

Sarah T Henes, Doyle M Cummings, Robert C Hickner, Joseph A Houmard, Kathryn M Kolasa, Suzanne Lazorick, David N Collier

Abstract readComparative Study
In one paragraph

Article in Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  8. Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults.International journal of environmental research and public health · 2019
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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

7 authors at 2 institutions in 1 country.

Sarah T HenesSarah T. Henes, The Division of Nutrition, Byrdine F. Lewis School of Nursing and Health Professions, Georgia State University, PO Box 3995, Atlanta, GA 30302, USA. Email: shenes@gsu.edu.
Doyle M Cummings
Robert C Hickner
Joseph A Houmard
Kathryn M Kolasa
Suzanne Lazorick
David N Collier
East Carolina University · USGeorgia State University · US

Funding

Reduction in CVD risk in children by physical activityR01DK071081 · NIDDK · EAST CAROLINA UNIVERSITY · PI HICKNER, ROBERT C · 2006 to 2010
$1.5M
NIDDK NIH HHS R01 DK071081NIDDK NIH HHS R01DK071081
6 · The paper itself

Abstract

backgroundThe Academy of Nutrition and Dietetics recommends the use of indirect calorimetry for calculating caloric targets for weight loss in obese youth. Practitioners typically use predictive equations since indirect calorimetry is often not available. The objective of this study was to compare measured resting energy expenditure (MREE) with that estimated using published predictive equations in obese pediatric patients. MATERIAL AND

methodsYouth aged 7 to 18 years (n = 80) who were referred to a university-based healthy weight clinic and who were greater than the 95th percentile BMI for age and gender participated. MREE was measured via a portable indirect calorimeter. Predicted energy expenditure (pEE) was estimated using published equations including those commonly used in children. pEE was compared to the MREE for each subject. Absolute mean difference between MREE and pEE, mean percentage accuracy, and mean error were determined.

resultsMean percentage accuracy of pEE compared with MREE varied widely, with the Harris-Benedict, Lazzer, and Molnar equations providing the greatest accuracy (65%, 61%, and 60%, respectively). Mean differences between MREE and equation-estimated caloric targets varied from 197.9 kcal/day to 307.7 kcal/day.

conclusionsThe potential to either overestimate or underestimate calorie needs in the clinical setting is significant when comparing EE derived from predictive equations with that measured using portable indirect calorimetry. While our findings suggest that the Harris-Benedict equation has improved accuracy relative to other equations in severely obese youth, the potential for error remains sufficiently great to suggest that indirect calorimetry is preferred.

Indexed as

AdolescentBasal MetabolismBody Mass IndexBody WeightCalorimetry, IndirectChildEnergy IntakeEnergy MetabolismFemaleHumansMaleNutritional StatusPediatric ObesityPredictive Value of TestsWeight Losschildhood obesityenergy expenditureindirect calorimeterpediatric clinicportable indirect calorimetry

Identifiers

PMID23921297
PMCPMC3883360
OpenAlexW2094133911

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.