Evidence map›Paper›PMID 41417070›Full record

ArticleEuropean journal of applied physiology2026

RACLET: the Ramp Above Critical Level Endurance Test to evaluate critical power in cycling.

Maximilien Bowen, Pierre Samozino, Mylène Vonderscher, Baptiste Morel

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Article 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. 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

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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

4 authors.

Maximilien BowenLaboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Université Savoie Mont-Blanc, Le Bourget-du-Lac, France. maximilien.bowen@univ-smb.fr.
Pierre SamozinoLaboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Université Savoie Mont-Blanc, Le Bourget-du-Lac, France.
Mylène VonderscherLaboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Université Savoie Mont-Blanc, Le Bourget-du-Lac, France.
Baptiste MorelLaboratoire Interuniversitaire de Biologie de la Motricité LIBM, EA 7424, Université Savoie Mont-Blanc, Le Bourget-du-Lac, France.

Funding

Agence Nationale de la Recherche ANR-22-CE14-0073
6 · The paper itself

Abstract

purposeThis study introduces the Ramp Above Critical Level Endurance Test (RACLET), a novel method for evaluating critical power model parameters, and tests its reliability and concurrent validity.

methodsTwenty-three participants completed several RACLET and time-to-exhaustion tests (TTE). The RACLET is based on the proportionnality between the decline in maximal power (fatigability) and the work done above the critical power and involves a decreasing power ramp with intermittent maximal sprints, inducing moderate fatigue without exhaustion.

resultsThe test demonstrated reliability for the initial power ([Formula: see text]) and critical power ([Formula: see text]) (ICC > 0.97), and for the time constant (τ) (ICC = 0.70). The concurrent validity against TTE for [Formula: see text] and [Formula: see text] showed systematic errors of 1.7% and 3.0%, respectively, and for τ and maximum work above the critical power, systematic errors were approximately 10%. The RACLET predictive capacity for time-to-exhaustion showed a systematic error of -0.6% and a random error of 10.3%.

conclusionThese results suggest that the RACLET is a reliable, valid, and efficient alternative to traditional critical power testing methods, offering comparable accuracy with a single test without inducing exhaustion. This approach could be particularly beneficial for populations in which exhaustive testing is challenging or impractical.

Indexed as

BicyclingExercise TestPhysical EnduranceAdultFemaleHumansMaleMuscle FatigueReproducibility of ResultsYoung AdultCritical intensityFatigabilityPedaling taskSub-maximal Ramp TestingTime-to-exhaustion

Identifiers

PMID41417070

What Socratic holds

Textmetadata
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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 Socratic graph.