Evidence map›Paper›PMID 40726910›Full record

ArticleMethodsX2025

Methodological approach to assess cardiovascular dynamics in elite cyclists.

Manuel Mateo-March, Alejandro Javaloyes, Iván Peña-González, Manuel Moya-Ramón

Abstract read
In one paragraph

Article in MethodsX, 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

4 authors.

Manuel Mateo-MarchDepartment of Sport Sciences, Sports Research Centre, Miguel Hernández University, Elche, Spain.
Alejandro JavaloyesDepartment of Sport Sciences, Sports Research Centre, Miguel Hernández University, Elche, Spain.
Iván Peña-GonzálezDepartment of Sport Sciences, Sports Research Centre, Miguel Hernández University, Elche, Spain.
Manuel Moya-RamónDepartment of Sport Sciences, Sports Research Centre, Miguel Hernández University, Elche, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a novel time-series method to optimize performance in professional cycling, analyzing cardiovascular reactivity and power output in elite cyclists during monument races. Integrating power meter and heart rate data, we derive critical power (CP), assess effort intensity (% CP), and track heart rate dynamics across race quartiles (Q1, Q2, Q3, Q4), revealing heart rate dynamics in elite cyclist. Preliminary testing of this method showed that Top 10 cyclists show significantly higher heart rate increase rates in Q1 (

Indexed as

Cardiovascular reactivityCycling performanceHeart rate dynamicsPower outputTime-series analysis

Identifiers

PMID40726910
PMCPMC12301818

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.