Evidence map›Paper›PMID 35612684›Full record

Trial reportEuropean journal of applied physiology2022

Caffeine ingestion increases endurance performance of trained male cyclists when riding against a virtual opponent without altering muscle fatigue.

Fabiano Tomazini, Ana Carla Santos-Mariano, Vinicius F Dos S Andrade, Daniel B Coelho, Romulo Bertuzzi, Gleber Pereira, Marcos D Silva-Cavalcante, Adriano E Lima-Silva

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European journal of applied physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
0.5field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 3 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Effect of different pacing strategies on 4-km cycling time trial performance.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Trial
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 at 5 institutions in 1 country.

Fabiano TomaziniHuman Performance Research Group, Federal University of Technology Parana, Pedro Gusso Street, 2601, Neoville, Curitiba, PA, 81310-900, Brazil. ftomazini@outlook.com.ORCID http://orcid.org/0000-0001-6002-8134
Ana Carla Santos-MarianoHuman Performance Research Group, Federal University of Technology Parana, Pedro Gusso Street, 2601, Neoville, Curitiba, PA, 81310-900, Brazil.ORCID http://orcid.org/0000-0001-7825-5845
Vinicius F Dos S AndradeDepartment of Physical Education, Federal University of Parana, Curitiba, Brazil.ORCID http://orcid.org/0000-0003-3650-9709
Daniel B CoelhoCentre of Engineering, Modelling and Applied Social Science, Federal University of ABC, Sao Bernardo do Campo, Brazil.ORCID http://orcid.org/0000-0001-8758-6507
Romulo BertuzziEndurance Sports Research Group, School of Physical Education and Sport, University of Sao Paulo, Sao Paulo, Brazil.ORCID http://orcid.org/0000-0002-0407-9620
Gleber PereiraDepartment of Physical Education, Federal University of Parana, Curitiba, Brazil.ORCID http://orcid.org/0000-0002-4508-3730
Marcos D Silva-CavalcanteFaculty of Nutrition (FANUT), Federal University of Alagoas, Maceio, Brazil.ORCID http://orcid.org/0000-0003-3943-3420
Adriano E Lima-SilvaHuman Performance Research Group, Federal University of Technology Parana, Pedro Gusso Street, 2601, Neoville, Curitiba, PA, 81310-900, Brazil.ORCID http://orcid.org/0000-0002-0613-5104
Universidade Tecnológica Federal do Paraná · BRUniversidade Federal do Paraná · BRUniversidade de São Paulo · BRUniversidade Federal de Alagoas · BRUniversidade Federal do ABC · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCaffeine improves cycling time trial (TT) performance; however, it is unknown whether caffeine is ergogenic when competing against other riders. The aim of this study was to investigate whether caffeine improves performance during a 4-km cycling TT when riding against a virtual opponent, and whether it is associated with increased muscle activation and at the expense of greater end-exercise central and peripheral fatigue.

methodsUsing a randomized, crossover, and double-blind design, eleven well-trained cyclists completed a 4-km cycling TT alone without supplementation (CON), or against a virtual opponent after ingestion of placebo (OP-PLA) or caffeine (5 mg

resultsCompared to CON, OP-PLA improved 4-km cycling TT performance (P = 0.018), and OP-CAF further improved performance when compared to OP-PLA (P = 0.050). Muscle activation was higher in OP-PLA and OP-CAF than in CON throughout the trial (P = 0.003). The pre- to post-exercise reductions in voluntary activation and potentiated twitch force were, however, similar between experimental conditions (P > 0.05). Compared to CON, OP-PLA increased the rating of perceived exertion during the first 2 km, but caffeine blunted this increase with no difference between the OP-CAF and CON conditions.

conclusionsCaffeine is ergogenic when riding against a virtual opponent, but this is not due to greater muscle activation or at the expense of greater end-exercise central or peripheral fatigue.

Indexed as

Athletic PerformancePerformance-Enhancing SubstancesBicyclingCaffeineCross-Over StudiesDouble-Blind MethodEatingHumansMaleMuscle FatiguePolyestersCaffeinePerformance-Enhancing SubstancesPolyestersErgogenic aidHead-to-headMuscle activationMuscle fatigueNutritional supplementationPerceived exertion

Identifiers

PMID35612684
OpenAlexW4281486992

What OpenQuestion holds

Textmetadata
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.