Evidence map›Paper›PMID 37112196›Full record

ArticleSensors (Basel, Switzerland)2023

Using Arterial Pulse and Laser Doppler Analyses to Discriminate between the Cardiovascular Effects of Different Running Levels.

Yi-Jia Lin, Chia-Chien Lee, Tzu-Wei Huang, Wei-Chun Hsu, Li-Wei Wu, Chen-Chun Lin, Hsin Hsiu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
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 2 institutions in 1 country.

Yi-Jia LinGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Chia-Chien LeeGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Tzu-Wei HuangGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Wei-Chun HsuGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Li-Wei WuDivision of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei 114, Taiwan.
Chen-Chun LinGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Hsin HsiuGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.ORCID 0000-0001-6761-3774
National Taiwan University of Science and Technology · TWTri-Service General Hospital · TW

Funding

Li-Wei Wu MND-MAB-110-129, MND-MAB-D-112143, TSGH-A-111013, TSGH-D-112087Ministry of Science and Technology, Taiwan MOST 111-2221-E-011-017-MY2National Taiwan University of Science and Technology - Tri-Service General Hospital Joint Research Program TSGH-NTUST-110-05, TSGH-NTUST-111-07
6 · The paper itself

Abstract

BACKGROUND AND

aimsRunning can induce advantageous cardiovascular effects such as improved arterial stiffness and blood-supply perfusion. However, the differences between the vascular and blood-flow perfusion conditions under different levels of endurance-running performance remains unclear. The present study aimed to assess the vascular and blood-flow perfusion conditions among 3 groups (44 male volunteers) according to the time taken to run 3 km: Level 1, Level 2, and Level 3.

methodsThe radial blood pressure waveform (BPW), finger photoplethygraphy (PPG), and skin-surface laser-Doppler flowmetry (LDF) signals of the subjects were measured. Frequency-domain analysis was applied to BPW and PPG signals; time- and frequency-domain analyses were applied to LDF signals.

resultsPulse waveform and LDF indices differed significantly among the three groups. These could be used to evaluate the advantageous cardiovascular effects provided by long-term endurance-running training, such as vessel relaxation (pulse waveform indices), improvement in blood supply perfusion (LDF indices), and changes in cardiovascular regulation activities (pulse and LDF variability indices). Using the relative changes in pulse-effect indices, we achieved almost perfect discrimination between Level 3 and Level 2 (AUC = 0.878). Furthermore, the present pulse waveform analysis could also be used to discriminate between the Level-1 and Level-2 groups.

conclusionsThe present findings contribute to the development of a noninvasive, easy-to-use, and objective evaluation technique for the cardiovascular benefits of prolonged endurance-running training.

Indexed as

HemodynamicsLasersBlood PressureHeart RateHumansLaser-Doppler FlowmetryMaleblood flowcardiovascular variabilitylaser-dopplerpulserunningspectral analysis

Identifiers

PMID37112196
PMCPMC10142346
OpenAlexW4363650999

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.