Evidence map›Paper›PMID 24431958›Full record

ArticleJournal of sports science & medicine2005

Respiratory gas exchange indices for estimating the anaerobic threshold.

Geir Solberg, Bjørn Robstad, Ole Henning Skjønsberg, Fredrik Borchsenius

Registry-linked trialAbstract read
In one paragraph

Article in Journal of sports science & medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04211207 (Evaluation of the Heart's Respiratory Quotient as Predictive Value After Extra-hospital), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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.

NCT04211207 completednot on this mapstarted 2020, after this paper: background citation

Evaluation of the Heart's Respiratory Quotient as Predictive Value After Extra-hospital

TypeobservationalSponsorUniversity Hospital, GrenobleRan2020 to 2023Enrolled40ConditionsCardiac ArrestArmsnon invasive monitoring value
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Complexity of Running and Its Relationship with Joint Kinematics during a Prolonged Run.International journal of environmental research and public health · 2022
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  16. Evaluation of Repetitive Jumping Intensity on the Digi-Jump Machine.International journal of exercise science · 2020
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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

4 authors.

Geir SolbergFaculty Division, Ullevål University Hospital , University of Oslo, Norway.
Bjørn RobstadFaculty Division, Ullevål University Hospital , University of Oslo, Norway.
Ole Henning SkjønsbergFaculty Division, Ullevål University Hospital , University of Oslo, Norway ; Department of Pulmonary Medicine, Ullevål University Hospital , Oslo, Norway.
Fredrik BorchseniusDepartment of Pulmonary Medicine, Ullevål University Hospital , Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several methods are used for estimating the anaerobic threshold (AT) during exercise. The aim of the present study was to compare AT values based on blood lactate measurements with those obtained from computerised calculations of different respiratory gas indices. Twelve healthy, well-trained men performed a stepwise incremental test on both treadmill and cycle ergometer. Respiratory gases were measured continuously, and blood samples were drawn every third minute. AT was determined, based on 1) blood lactate concentrations (Lactate-AT), 2) respiratory exchange ratio (RER-AT), 3) V- slope method (Vslope-AT), and 4) ventilatory equivalent for VO2 (EqO2-AT). Lactate-AT and RER-AT values showed similar values, both on treadmill and on cycle ergometer. EqO2-AT showed a trend towards lower values for AT, while Vslope-AT gave significantly lower values for AT for both exercise modes. Bland-Altman plots showed an even distribution of data for RER-AT, while a more scattered and skewed distribution of data was observed when EqO2-AT and Vslope-AT were compared with Lactate-AT. The study demonstrates that RER-based estimates of AT correlate well with the blood lactate-based AT determination. The RER method is non-invasive and simple to perform, and, in the present study, seemed to be the best respiratory index for estimation of AT. Key PointsAnaerobic threshold can reliably be estimated by respiratory gas indices in well fit subjects.Sophisticated computerassisted equations are not superior to the use of a simple cut-off value of Respiratory Exchange Ratio in estimating the anaerobic threshold.Estimation of anaerobic threshold, by using a pre-defined cut-off value for Respiratory Exchange Ratio, is non- invasive and simple to perform in a respiratory laboratory.

Indexed as

Anaerobic thresholdexercise test

Identifiers

PMID24431958
PMCPMC3880081

What OpenQuestion holds

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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.