Evidence map›Paper›PMID 30035381›Full record

ReviewObesity reviews : an official journal of the International Association for the Study of Obesity2018

Human energy expenditure: advances in organ-tissue prediction models.

S B Heymsfield, C M Peterson, B Bourgeois, D M Thomas, D Gallagher, B Strauss, M J Müller, A Bosy-Westphal

Abstract readReview
In one paragraph

Review in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

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  13. Exercise metabolism and adaptation in skeletal muscle.Nature reviews. Molecular cell biology · 2023
    Review
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  16. What Is aNutrients · 2022
    Review
  17. Phenotypic differences between people varying in muscularity.Journal of cachexia, sarcopenia and muscle · 2022
    Article
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  19. Review
  20. Article
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 at 6 institutions in 4 countries.

S B HeymsfieldPennington Biomedical Research Center, Baton Rouge, LA, USA.ORCID 0000-0003-1127-9425
C M PetersonUniversity of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0002-4845-6782
B BourgeoisPennington Biomedical Research Center, Baton Rouge, LA, USA.
D M ThomasDepartment of Mathematical Sciences, United States Military Academy West Point, West Point, NY, USA.
D GallagherCollege of Physicians and Surgeons, Columbia University, New York, NY, USA.ORCID 0000-0003-1769-9754
B StraussDept. of Medicine, School of Clinical Sciences, Monash University, Australia and Institute of Inflammation and Repair, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-5391-9681
M J MüllerDepartment of Human Nutrition and Food Science, Christian-Albrecht's-University of Kiel, Kiel, Germany.ORCID 0000-0002-7280-2411
A Bosy-WestphalDepartment of Human Nutrition and Food Science, Christian-Albrecht's-University of Kiel, Kiel, Germany.ORCID 0000-0002-8318-9448
Christian-Albrechts-Universität zu Kiel · DEPennington Biomedical Research Center · USColumbia University · USUnited States Military Academy · USUniversity of Alabama at Birmingham · USUniversity of Manchester · GB

Funding

RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2005 to 2026
$26.5M
Shape up! KidsR01DK111698 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2017 to 2021
$3.3M
Optical Body Composition and Health AssessmentR01DK109008 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2016 to 2020
$3.2M
NIDDK NIH HHS P30 DK026687NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK072476NIDDK NIH HHS R01 DK109008NIDDK NIH HHS R01 DK111698
6 · The paper itself

Abstract

Humans expend energy at rest (REE), and this major energy exchange component is now usually estimated using statistical equations that include weight and other predictor variables. While these formulas are useful in evaluating an individual's or group's REE, an important gap remains: available statistical models are inadequate for explaining underlying organ-specific and tissue-specific mechanisms accounting for resting heat production. The lack of such systems level REE prediction models leaves many research questions unanswered. A potential approach that can fill this gap began with investigators who first showed in animals and later in humans that REE reflects the summated heat production rates of individual organs and tissues. Today, using advanced imaging technologies, REE can be accurately estimated from the measured in vivo mass of 10 organ-tissue mass components combined with their respective mass-specific metabolic rates. This review examines the next frontier of energy expenditure models and discusses how organ-tissue models have the potential not only to better predict REE but also to provide insights into how perturbations in organ mass lead to structure-function changes across other interacting organ systems. The introductory ideas advanced in this review provide a framework for future human energy expenditure modelling research.

Indexed as

Models, BiologicalBasal MetabolismBody CompositionEnergy MetabolismHumansBody compositionenergy metabolismobesityresting energy expenditure

Identifiers

PMID30035381
PMCPMC6107421
OpenAlexW2916479600

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.