ArticleEuropean journal of applied physiology2025
P
Article in European journal of applied physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Delaying task failure in high-intensity exercise: a Pi-afferent-effort framework for targeted sports nutrition.Journal of the International Society of Sports Nutrition · 2026Review
- Impact of total creatine and accessible phosphate pool on endurance exercise: implications for muscle fibers bioenergetic specificity and creatine supplementation.European journal of applied physiology · 2026Article
- The effect of AMP deamination on skeletal muscle is stronger and more beneficial in extremely intense exercises to exhaustion and/or extremely stressing conditions.European journal of applied physiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEndurance training improves running performance in distances where oxidative phosphorylation (OXPHOS) is the main ATP source. Here, a dynamic computer model is used to assess possible biochemical mechanisms underlying this improvement.
methodsThe dynamic computer model is based on the "P
resultsThe endurance-training-induced increase in oxidative phosphorylation (OXPHOS) activity attenuates the reaching of Pi
conclusionsThe present dynamic computer model generates clear predictions of metabolic changes that limit performance during 1500 m running. It contributes to our mechanistic understanding of training-induced improvement in running performance and stimulates further physiological experimental studies.
Indexed as
Identifiers
39287637What OpenQuestion holds
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.