Evidence map›Paper›PMID 34618821›Full record

ArticlePloS one2021

Recurrence quantification analysis of heart rate variability to detect both ventilatory thresholds.

Giovanna Zimatore, Lavinia Falcioni, Maria Chiara Gallotta, Valerio Bonavolontà, Matteo Campanella, Marco De Spirito, Laura Guidetti, Carlo Baldari

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  13. Detecting Metabolic Thresholds from Nonlinear Analysis of Heart Rate Time Series: A Review.International journal of environmental research and public health · 2022
    Review
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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

8 authors at 6 institutions in 1 country.

Giovanna ZimatoreDepartment of Theoretical and Applied Sciences, eCampus University, Novedrate (CO), Italy.ORCID 0000-0001-6009-4465
Lavinia FalcioniDepartment of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.ORCID 0000-0001-8704-7044
Maria Chiara GallottaDepartment of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy.ORCID 0000-0001-5532-6380
Valerio BonavolontàDepartment of Basic Medical Sciences, Neuroscience and Sense Organs, University "Aldo Moro", Bari, Italy.
Matteo CampanellaDepartment of Theoretical and Applied Sciences, eCampus University, Novedrate (CO), Italy.
Marco De SpiritoFondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore Rome, Rome, Italy.
Laura GuidettiNiccolò Cusano University, Rome, Italy.ORCID 0000-0002-1419-4550
Carlo BaldariDepartment of Theoretical and Applied Sciences, eCampus University, Novedrate (CO), Italy.
Università degli Studi eCampus · ITForo Italico University of Rome · ITSapienza University of Rome · ITUniversità Cattolica del Sacro Cuore · ITUniversity Niccolò Cusano · ITUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims of this study were: to verify if Recurrence Quantification Analysis (RQA) of Heart Rate Variability (HRV) time series could determine both ventilatory thresholds in individuals with different fitness levels, and to assess the validity of RQA method compared to gas-exchange method (GE). The two thresholds were estimated in thirty young individuals during incremental exercise on cycle-ergometer: Heart rate (HR), Oxygen consumption (VO2) and Workload were measured by the two methods (RQA and GE). Repeated measures ANOVA was used to assess main effects of methods and methods-by-groups interaction effects for HR, VO2 and Workload at aerobic (AerT) and anaerobic (AnT) thresholds. Validity of RQA at both thresholds was assessed for HR, VO2 and Workload by Ordinary Least Products (OLP) regression, Typical Percentage Error (TE), Intraclass Correlation Coefficients (ICC) and the Bland Altman plots. No methods-by-groups interaction effects were detected for HR, VO2 and Workload at AerT and AnT. The OLP analysis showed that at both thresholds RQA and GE methods had very strong correlations (r >0.8) in all variables (HR, VO2 and Workload). Slope and intercept values always included the 1 and the 0, respectively. At AerT the TE ranged from 4.02% (5.48 bpm) to 10.47% (8.53 Watts) (HR and Workload, respectively) and in all variables ICC values were excellent (≥0.85). At AnT the TE ranged from 2.53% (3.98 bpm) to 6.64% (7.81 Watts) (HR and Workload, respectively) and in all variables ICC values were excellent (≥0.90). Therefore, RQA of HRV time series is a new valid approach to determine both ventilatory thresholds in individuals with different physical fitness levels, it can be used when gas analysis is not possible or not convenient.

Indexed as

AdolescentErgometryExercise TestFemaleHeart RateHumansMaleOxygen ConsumptionPhysical ExertionPhysical FitnessRespiratory Function Tests

Identifiers

PMID34618821
PMCPMC8496840
OpenAlexW3204864872

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.