Evidence map›Paper›PMID 32911636›Full record

SynthesisNutrients2020

Effects of Dietary Nitrates on Time Trial Performance in Athletes with Different Training Status: Systematic Review.

Tomáš Hlinský, Michal Kumstát, Petr Vajda

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. The Effects of Dietary Nitrate Supplementation on Explosive Exercise Performance: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. 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

3 authors at 1 institution in 1 country.

Tomáš HlinskýFaculty of Sports Studies, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic.ORCID 0000-0002-4053-4424
Michal KumstátFaculty of Sports Studies, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic.
Petr VajdaFaculty of Sports Studies, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic.ORCID 0000-0001-7800-0973
Masaryk University · CZ

Funding

Masarykova Univerzita MUNI/A/1201/2018
6 · The paper itself

Abstract

Much research has been done in sports nutrition in recent years as the demand for performance-enhancing substances increases. Higher intake of nitrates from the diet can increase the bioavailability of nitric oxide (NO) via the nitrate-nitrite-NO pathway. Nevertheless, the increased availability of NO does not always lead to improved performance in some individuals. This review aims to evaluate the relationship between the athlete's training status and the change in time trial performance after increased dietary nitrate intake. Articles indexed by Scopus and PubMed published from 2015 to 2019 were reviewed. Thirteen articles met the eligibility criteria: clinical trial studies on healthy participants with different training status (according to VO

Indexed as

AthletesAthletic PerformanceDatabases, FactualDietary SupplementsHumansMuscle Fibers, SkeletalNitratesNitric OxideOxygen ConsumptionPerformance-Enhancing SubstancesPhysical EnduranceTime FactorsNitratesNitric OxidePerformance-Enhancing Substancesdietary supplementsmuscle fibresnitric oxideoxygen consumptionphysical activity

Identifiers

PMID32911636
PMCPMC7551808
OpenAlexW3084042367

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.