Evidence map›Paper›PMID 40111969›Full record

ArticlePloS one2025

Accuracy and repeatability of the COSMED® Q-NRG max mobile metabolic system.

Lavinia Falcioni, Laura Guidetti, Carlo Baldari, Andrey Sanko Posada, Chris Wing, Luke Dover, Marco Meucci

Abstract read
In one paragraph

Article in PloS one, 2025. 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. In-Field Validity and Inter-Unit Variability of Metabolic Carts During Simulated Exercise.Scandinavian journal of medicine & science in sports · 2026
    Article
  2. Review
  3. Validity of V̇OEuropean journal of applied physiology · 2026
    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

7 authors.

Lavinia FalcioniDepartment of Public Health and Exercise Science, Appalachian State University, Boone, North Carolina, United States of America.ORCID 0000-0001-8704-7044
Laura GuidettiDepartment of Humanities, Movement, and Education Sciences, University "Niccolò Cusano", Rome, Italy.ORCID 0000-0002-1419-4550
Carlo BaldariPsychology Department, eCampus University, Novedrate, Como, Italy.
Andrey Sanko PosadaDepartment of Public Health and Exercise Science, Appalachian State University, Boone, North Carolina, United States of America.
Chris WingDepartment of Public Health and Exercise Science, Appalachian State University, Boone, North Carolina, United States of America.ORCID 0009-0003-7761-9178
Luke DoverDepartment of Public Health and Exercise Science, Appalachian State University, Boone, North Carolina, United States of America.
Marco MeucciDepartment of Public Health and Exercise Science, Appalachian State University, Boone, North Carolina, United States of America.ORCID 0000-0002-1549-2082

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the accuracy and repeatability of the Q-NRG Max® metabolic system against a VacuMed metabolic simulator using a wide range of metabolic rates.

methodsSixteen metabolic rates (oxygen consumption 0.9-6 L/min), with different combinations of minute ventilation, oxygen consumption, and carbon dioxide production, were measured for 5 minutes, two times by a single Q-NRG Max® unit over the course of one week. Recordings were performed early in the morning, by the same trained technician, in a ventilated laboratory under the same atmospheric conditions. Accuracy was assessed by ordinary least products (OLP) regression analysis, Bland-Altman plots, intraclass correlation coefficients (ICC), mean percentage differences, technical errors (TE) and minimum detectable change (MDC) for all three variables. This analysis was performed using 10 metabolic rates (oxygen consumption 0.9-4 L/min) and 16 metabolic rates (oxygen consumption 0.9-6 L/min) to allow comparisons with previous research. Intra-device repeatability was performed by absolute percentage differences between measurements (MAPE), ICC, TE, and MDC for the same variables. Repeatability was investigated using 16 metabolic rates.

resultsHigh agreement and excellent ICCs (>0.998) were observed for all variables when considering both 10 and 16 metabolic rates. The mean percentage difference, TE and MDC were 0.87%-1.01%, 0.67%-1.07%, 1.55%-2.49%, respectively for the first 10 metabolic rates, and -0.39%-0.65%, 0.58%-1.63%, 1.35%-3.81%, respectively for the 16 metabolic rates. The intra-device repeatability results showed an excellent ICCs (=1.000), MAPE < 0.5%, TE < 1%, and MDC ≤ 2%.

conclusionThe Q-NRG Max® is a valid and reliable mobile metabolic system for the measurement of ventilation, oxygen consumption, and carbon dioxide production. Measurements were below the 5% TE and MDC, and 2% MAPE recommended thresholds across a wide range of metabolic rates up to 6 L/min oxygen consumption.

Indexed as

Oxygen ConsumptionCarbon DioxideHumansReproducibility of ResultsCarbon Dioxide

Identifiers

PMID40111969
PMCPMC11925279

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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.