Evidence map›Paper›PMID 35948835›Full record

ArticleEuropean journal of applied physiology2022

A three-minute all-out test performed in a remote setting does not provide a valid estimate of the maximum metabolic steady state.

Ed Maunder, Jeffrey A Rothschild, Andrius Ramonas, Matthieu Delcourt, Andrew E Kilding

Open access · hybridAbstract read
In one paragraph

Article in European journal of applied physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 2 institutions in 2 countries.

Ed MaunderSports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand. ed.maunder@aut.ac.nz.ORCID http://orcid.org/0000-0002-2329-959X
Jeffrey A RothschildSports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-0014-5878
Andrius RamonasSports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-0381-7994
Matthieu DelcourtDepartment of Biology, University of Ottawa, Ottawa, Canada.
Andrew E KildingSports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-5334-8831
Auckland University of Technology · NZUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe three-minute all-out test (3MT), when performed on a laboratory ergometer in a linear mode, can be used to estimate the heavy-severe-intensity transition, or maximum metabolic steady state (MMSS), using the end-test power output. As the 3MT only requires accurate measurement of power output and time, it is possible the 3MT could be used in remote settings using personal equipment without supervision for quantification of MMSS.

methodsThe aim of the present investigation was to determine the reliability and validity of remotely performed 3MTs (3MT

resultsThe 3MT

conclusionThese results suggest that the 3MT

Indexed as

Anaerobic ThresholdExercise TestBicyclingGasesHumansLactic AcidOxygen ConsumptionReproducibility of ResultsGasesLactic AcidCyclingReliabilityRemoteThresholdValidity

Identifiers

PMID35948835
PMCPMC9560921
OpenAlexW4290989352

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.