Evidence map›Paper›PMID 32168870›Full record

Trial reportNutrients2020

ADOR2A C Allele Carriers Exhibit Ergogenic Responses to Caffeine Supplementation.

Jozo Grgic, Craig Pickering, David J Bishop, Juan Del Coso, Brad J Schoenfeld, Grant M Tinsley, Zeljko Pedisic

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Effect ofNutrients · 2024
    Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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

7 authors at 6 institutions in 4 countries.

Jozo GrgicInstitute for Health and Sport (IHES), Victoria University, Melbourne 3011, Australia.
Craig PickeringInstitute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston PR1 2HE, UK.
David J BishopInstitute for Health and Sport (IHES), Victoria University, Melbourne 3011, Australia.
Juan Del CosoCentre for Sport Studies, Rey Juan Carlos University, C/Camino del Molino, s/n, 28943 Fuenlabrada, Spain.
Brad J SchoenfeldDepartment of Health Sciences, Lehman College, Bronx, New York, NY 10468, USA.
Grant M TinsleyEnergy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX 79424, USA.
Zeljko PedisicInstitute for Health and Sport (IHES), Victoria University, Melbourne 3011, Australia.
Victoria University · AUEdith Cowan University · AULehman College · USTexas Tech University · USUniversidad Rey Juan Carlos · ESUniversity of Lancashire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Caffeine's ergogenic effects on exercise performance are generally explained by its ability to bind to adenosine receptors.

Indexed as

AllelesDietary SupplementsHeterozygotePharmacogenomic VariantsAdultBody Mass IndexCaffeineCross-Over StudiesExerciseFemaleHumansMalePerformance-Enhancing SubstancesPhysical EnduranceReceptor, Adenosine A2AYoung AdultADORA2A protein, humanCaffeinePerformance-Enhancing SubstancesReceptor, Adenosine A2Acaffeineergogenic aidgeneticsmean velocity

Identifiers

PMID32168870
PMCPMC7146260
OpenAlexW3010767403

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.