Evidence map›Paper›PMID 40694670›Full record

ArticleEuropean journal of sport science2025

Validity and Practical Application of Muscle Oxygenation Monitoring for Identifying Maximal Fat Oxidation in Cyclists.

Ander Romarate, Aitor Pinedo-Jauregi, Andri Feldmann, Aitor Viribay, Jordan Santos-Concejero

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of sport science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ander RomarateEmen4sport, Leioa, Spain.
Aitor Pinedo-JauregiDepartment of Physical Education and Sport, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0002-7939-297X
Andri FeldmannInstitute of Sport Science, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-0171-1125
Aitor ViribayGlut4Science, Physiology, Nutrition and Sport, Vitoria-Gasteiz, Spain.
Jordan Santos-ConcejeroDepartment of Physical Education and Sport, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.ORCID https://orcid.org/0000-0001-9467-525X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate detection of several physiological milestones, such as maximal fat oxidation (MFO), is an important factor for cycling performance and for programming effective and individualised training. However, the procedure to identify the MFO is often too complex and expensive. Near-infrared spectroscopy (NIRS) technology provides a noninvasive measurement that can be used to detect different physiological variables. The aim of this study was to assess the validity of utilising the muscular oxygen saturation visualisation methodology for the identification of the MFO point in trained cyclists. Twenty-two recreational endurance-trained cyclists (19 men and 3 women; age: 27.9 ± 5.4 years; body mass: 69.7 ± 7.1 kg and VO

Indexed as

Adipose TissueBicyclingMuscle, SkeletalOxygen ConsumptionAdultExercise TestFemaleHumansMaleOxidation-ReductionReproducibility of ResultsSpectroscopy, Near-InfraredYoung Adultincremental exercise testmetabolic analysisnear‐infrared spectroscopyphysiologywearable

Identifiers

PMID40694670
PMCPMC12282674

What OpenQuestion holds

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Registered trials

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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.