SynthesisEuropean journal of applied physiology2026
Heavy strength training effects on physiological determinants of endurance cyclist performance: a systematic review with meta-analysis.
Synthesis in European journal of applied physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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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Authors and funding
3 authors.
Funding
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Abstract
backgroundEndurance cycling performance is determined by maximal oxygen uptake (VO
aimThe aim of this systematic review with meta-analysis was to analyse heavy strength training effects on physiological determinants of endurance cyclists' performance.
methodsA systematic search was carried out in PubMed, Web of Science and Scopus including articles indexed up to February 2025. Following the PICOS criteria: Population, endurance cyclists aged ≥ 18 years or older, without restriction of sex or performance level; Intervention, heavy strength training (≥ 3 weeks); Comparator, group that performed cycling endurance training without receiving heavy strength training; Outcome, physiological determinants of endurance cycling (i.e., VO
resultsIncluded studies (n = 17) comprised 262 participants (60 female) with a mean initial VO
conclusionHeavy strength training can improve cycling performance (i.e., time to exhaustion; time trial) in endurance cyclist. This improvement may be mainly due to an improvement in cycling efficiency and anaerobic power. These results occur without changes in VO PROTOCOL REGISTRATION: The original protocol was registered ( https://osf.io/75xt4 ) at the Open Science Framework.
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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 Socratic graph.