Evidence map›Paper›PMID 36304551›Full record

ArticleFrontiers in cardiovascular medicine2022

Biophysical characterization of the first ultra-cyclist in the world to break the 1,000 km barrier in 24-h non-stop road cycling: A case report.

Beat Knechtle, Pedro Forte, Katja Weiss, Ivan Cuk, Pantelis T Nikolaidis, Caio Victor Sousa, Marilia Santos Andrade, Mabliny Thuany

Abstract readCase Reports
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Modeling Pe2rformance in IRONMANSports medicine - open · 2025
    Article
  2. Review
  3. Article
  4. 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

8 authors.

Beat KnechtleMedbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland.
Pedro ForteHigher Institute of Educational Sciences of the Douro, Penafiel, Portugal.
Katja WeissInstitute of Primary Care, University of Zurich, Zurich, Switzerland.
Ivan CukFaculty of Sport and Physical Education, University of Belgrade, Belgrade, Serbia.
Pantelis T NikolaidisSchool of Health and Caring Sciences, University of West Attica, Athens, Greece.
Caio Victor SousaHealth and Human Sciences, Loyola Marymount University, Los Angeles, CA, United States.
Marilia Santos AndradeDepartamento de Fisiologia, Disciplina de Neurofisiologia e Fisiologia do Exercício, Universidade Federal de São Paulo, São Paulo, Brazil.
Mabliny ThuanyCentre of Research, Education, Innovation and Intervention in Sport (CIFI2D), Faculty of Sport, University of Porto, Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A plethora of factors determine elite cycling performance. Those include training characteristics, pacing strategy, aerodynamics, nutritional habits, psychological traits, physical fitness level, body mass composition, and contextual features; even the slightest changes in any of these factors can be associated with performance improvement or deterioration. The aim of the present case report is to compare the performances of the same ultra-cyclist in achieving two world records (WR) in 24 h cycling. We have analyzed and compared the distance covered and speed for each WR. The 24 h period was split into four-time intervals (0-6 h; > 6-12 h; > 12-18 h; > 18-24 h), and we compared the differences in the distance covered and speed between the two WRs. For both WRs, a strong negative correlation between distance and speed was confirmed (

Indexed as

aerodynamicscase reportmechanical powerperformanceultra-cycling

Identifiers

PMID36304551
PMCPMC9592711

What OpenQuestion holds

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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 OpenQuestion graph.