Evidence map›Paper›PMID 32868770›Full record

ArticleScientific reports2020

An appraisal of whole-room indirect calorimeters and a metabolic cart for measuring resting and active metabolic rates.

Shanshan Chen, Cory Scott, Janina V Pearce, Jared S Farrar, Ronald K Evans, Francesco S Celi

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

  1. Trial
  2. Trial
  3. 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

6 authors.

Shanshan ChenDepartment of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, USA. shanshan.chen@vcuhealth.org.ORCID http://orcid.org/0000-0003-3165-0674
Cory ScottDepartment of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, USA.
Janina V PearceDivision of Endocrinology Diabetes and Metabolism, Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, 1101 East Marshall Street, Sanger Hall, Room 7-007, PO Box 980111, Richmond, VA, 23298-0111, USA.
Jared S FarrarDivision of Endocrinology Diabetes and Metabolism, Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, 1101 East Marshall Street, Sanger Hall, Room 7-007, PO Box 980111, Richmond, VA, 23298-0111, USA.
Ronald K EvansDepartment of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, USA.
Francesco S CeliDivision of Endocrinology Diabetes and Metabolism, Department of Internal Medicine, School of Medicine, Virginia Commonwealth University, 1101 East Marshall Street, Sanger Hall, Room 7-007, PO Box 980111, Richmond, VA, 23298-0111, USA. Francesco.celi@vcuhealth.org.ORCID https://orcid.org/0000-0001-7218-7052

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NCATS NIH HHS UL1 TR002649
6 · The paper itself

Abstract

Whole-room indirect calorimeters (WRICs) have traditionally been used for real-time resting metabolic rate (RMR) measurements, while metabolic rate (MR) during short-interval exercises has commonly been measured by metabolic carts (MCs). This study aims to investigate the feasibility of incorporating short-interval exercises into WRIC study protocols by comparing the performance of WRICs and an MC. We assessed the 40-min RMR of 15 subjects with 2-day repeats and the 10-15 min activity MR (AMR) of 14 subjects at three intensities, using a large WRIC, a small WRIC, and an MC. We evaluated the biases between the instruments and quantified sources of variation using variance component analysis. All three instruments showed good agreement for both RMR (maximum bias = 0.07 kcal/min) and AMR assessment (maximum bias = 0.53 kcal/min). Moreover, the majority of the variability was between-subject and between-intensity variation, whereas the types of instrument contributed only a small amount to total variation in RMR (2%) and AMR (0.2%) data. In Conclusion, the good reproducibility among the instruments indicates that they may be used interchangeably in well-designed studies. Overall, WRICs can serve as an accurate and versatile means of assessing MR, capable of integrating RMR and short-interval AMR assessments into a single protocol.

Indexed as

Basal MetabolismEnergy MetabolismExerciseCalorimetry, IndirectFemaleHumansMaleReproducibility of Results

Identifiers

PMID32868770
PMCPMC7459349

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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.