Evidence map›Paper›PMID 38053952›Full record

ArticleJournal of human kinetics2023

Prediction of Exercise Tolerance in the Severe and Extreme Intensity Domains by a Critical Power Model.

Thiago Pereira Ventura, Fernando Klitzke Borszcz, Diego Antunes, Fabrizio Caputo, Tiago Turnes

Open access · diamondAbstract read
In one paragraph

Article in Journal of human kinetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 2 countries.

Thiago Pereira VenturaPhysical Effort Laboratory, Sports Center, Federal University of Santa Catarina, Florianopolis, Brazil.
Fernando Klitzke BorszczPhysical Effort Laboratory, Sports Center, Federal University of Santa Catarina, Florianopolis, Brazil.
Diego AntunesPhysical Effort Laboratory, Sports Center, Federal University of Santa Catarina, Florianopolis, Brazil.
Fabrizio CaputoHuman Performance Research Group, Center for Health Sciences and Sport, Santa Catarina State University, Florianopolis, Brazil.
Tiago TurnesPhysical Effort Laboratory, Sports Center, Federal University of Santa Catarina, Florianopolis, Brazil.
Universidade Federal de Santa Catarina · BRCenter for Health, Exercise and Sport Sciences · RSUniversidade do Estado de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the predictive capability of different critical power (CP) models on cycling exercise tolerance in the severe- and extreme-intensity domains. Nineteen cyclists (age: 23.0 ± 2.7 y) performed several time-to-exhaustion tests (Tlim) to determine CP, finite work above CP (W'), and the highest constant work rate at which maximal oxygen consumption was attained (I

Indexed as

cyclinghigh-intensity exercisemaximal oxygen uptakepower-duration relationship

Identifiers

PMID38053952
PMCPMC10694707
OpenAlexW4386465912

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.