Evidence map›Paper›PMID 24586796›Full record

ArticlePloS one2014

Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches.

Alberto Porta, Luca Faes, Vlasta Bari, Andrea Marchi, Tito Bassani, Giandomenico Nollo, Natália Maria Perseguini, Juliana Milan, Vinícius Minatel, Audrey Borghi-Silva and 2 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
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

56 citing papers in PubMed.

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  2. Multicomponent exercise training in cardiovascular complexity in prefrail older adults: a randomized blinded clinical pilot study.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
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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

12 authors.

Alberto PortaDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy ; Galeazzi Orthopedic Institute, Milan, Italy.
Luca FaesDepartment of Physics and BIOtech, University of Trento, Trento, Italy.
Vlasta BariGruppo Ospedaliero San Donato Foundation, Milan, Italy ; Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Andrea MarchiDepartment of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy ; Department of Anesthesia and Intensive Care, Humanitas Clinical and Research Center, Rozzano, Italy.
Tito BassaniHumanitas Clinical and Research Center, Rozzano, Italy.
Giandomenico NolloBIOtech, Department of Industrial Engineering, University of Trento, Trento, Italy ; IRCS PAT-FBK, Trento, Italy.
Natália Maria PerseguiniDepartment of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo State, Brazil.
Juliana MilanDepartment of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo State, Brazil.
Vinícius MinatelDepartment of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo State, Brazil.
Audrey Borghi-SilvaDepartment of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo State, Brazil.
Anielle C M TakahashiDepartment of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo State, Brazil.
Aparecida M CataiDepartment of Physiotherapy, Federal University of São Carlos, São Carlos, São Paulo State, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proposed approach evaluates complexity of the cardiovascular control and causality among cardiovascular regulatory mechanisms from spontaneous variability of heart period (HP), systolic arterial pressure (SAP) and respiration (RESP). It relies on construction of a multivariate embedding space, optimization of the embedding dimension and a procedure allowing the selection of the components most suitable to form the multivariate embedding space. Moreover, it allows the comparison between linear model-based (MB) and nonlinear model-free (MF) techniques and between MF approaches exploiting local predictability (LP) and conditional entropy (CE). The framework was applied to study age-related modifications of complexity and causality in healthy humans in supine resting (REST) and during standing (STAND). We found that: 1) MF approaches are more efficient than the MB method when nonlinear components are present, while the reverse situation holds in presence of high dimensional embedding spaces; 2) the CE method is the least powerful in detecting age-related trends; 3) the association of HP complexity on age suggests an impairment of cardiac regulation and response to STAND; 4) the relation of SAP complexity on age indicates a gradual increase of sympathetic activity and a reduced responsiveness of vasomotor control to STAND; 5) the association from SAP to HP on age during STAND reveals a progressive inefficiency of baroreflex; 6) the reduced connection from HP to SAP with age might be linked to the progressive exploitation of Frank-Starling mechanism at REST and to the progressive increase of peripheral resistances during STAND; 7) at REST the diminished association from RESP to HP with age suggests a vagal withdrawal and a gradual uncoupling between respiratory activity and heart; 8) the weakened connection from RESP to SAP with age might be related to the progressive increase of left ventricular thickness and vascular stiffness and to the gradual decrease of respiratory sinus arrhythmia.

Indexed as

AdultAgedAge FactorsArterial PressureBaroreflexFemaleHeartHumansLinear ModelsMaleMiddle AgedModels, CardiovascularNonlinear DynamicsPostureRespirationYoung Adult

Identifiers

PMID24586796
PMCPMC3933610

What OpenQuestion holds

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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.