ArticleExperimental physiology2026
Optimizing the predictive validity of NIRS kinetic profiles to predict aerobic capacity from a resting skeletal muscle occlusion test.
Article in Experimental physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Interindividual differences in dyspnea during acute hypoxic exercise in healthy adults: A single exposure to simulated altitude at ~9000 ft.Physiological reports · 2026Article
- Skeletal Muscle Blood Flow and NIRS Oxygenation Kinetics as a Tool to Evaluate Adaptations to High-Intensity Exercise Training.Sensors (Basel, Switzerland) · 2026Article
- Optimizing the predictive validity of NIRS kinetic profiles to predict aerobic capacity from a resting skeletal muscle occlusion test.Experimental physiology · 2026Article
- Validation of muscle oxygenation kinetics to predict aerobic fitness and exercise transition thresholds.Experimental physiology · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measuring and monitoring individual cardiorespiratory fitness through a valid and accessible non-exhaustive surrogate is required. Techniques measuring haemodynamics have shown promise, and this study aimed to optimize the predictive validity of these approaches alongside developing predictive equations. In a two-study design, 8 (pilot study) and 30 (confirmation study) healthy adults completed exercise testing to assess maximal oxygen consumption (
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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.