Evidence map›Paper›PMID 33143175›Full record

SynthesisInternational journal of environmental research and public health2020

HRV-Based Training for Improving VO

Antonio Granero-Gallegos, Alberto González-Quílez, Daniel Plews, María Carrasco-Poyatos

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06969898 (Penyagolosa Trail Saludable 2025), which is not on this map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 9% 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.

NCT06969898 completednot on this mapstarted 2025, after this paper: background citation

Penyagolosa Trail Saludable 2025

Typeobservational_patient_registrySponsorUniversitat Jaume IRan2025 to 2025Enrolled37ConditionsPhysical ExerciseArmsSingle Ultramarathon runners
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Article
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  9. [Optimization and validation of a mathematical model for precise assessment of personalized exercise load based on wearable devices].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
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  18. Psychophysiological Stress Status of Soldiers Prior to an Operative Deployment.International journal of environmental research and public health · 2022
    Article
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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

4 authors at 2 institutions in 2 countries.

Antonio Granero-GallegosHealth and Public Administration Research Center, Department of Education, University of Almeria, 04120 Almeria, Spain.ORCID 0000-0002-1385-8386
Alberto González-QuílezDepartment of Education, University of Almeria, 04120 Almeria, Spain.
Daniel PlewsSports Performance Research Institute, The Waikato University, Hamilton 3216, New Zealand.
María Carrasco-PoyatosHealth and Public Administration Research Center, Department of Education, University of Almeria, 04120 Almeria, Spain.ORCID 0000-0001-5735-4908
University of Almería · ESAuckland University of Technology · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aimed to synthesize evidence regarding interventions based on heart rate variability (HRV)-guided training for VO

Indexed as

Athletic PerformanceHigh-Intensity Interval TrainingOxygen ConsumptionPhysical EnduranceAthletesFemaleHeart RateHumansMaleheart rate variabilityhigh-level athletesmaximal oxygen uptakeperformance

Identifiers

PMID33143175
PMCPMC7663087
OpenAlexW3095489224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.