Evidence map›Paper›PMID 39139426›Full record

ReviewReviews in cardiovascular medicine2024

Pulse Wave Velocity: Methodology, Clinical Applications, and Interplay with Heart Rate Variability.

Niklas Pilz, Viktor Heinz, Timon Ax, Leon Fesseler, Andreas Patzak, Tomas Lucca Bothe

Registry-linked trialAbstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07616674 (Correlation Between the R-R Interval of the Electrocardiogram and the Intracranial Pulse Wave Interval Assessed by a Noninvasive Method in Healthy People), which is not on this map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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.

NCT07616674 completednot on this mapstarted 2025, after this paper: background citation

Correlation Between the R-R Interval of the Electrocardiogram and the Intracranial Pulse Wave Interval Assessed by a Noninvasive Method in Healthy People

TypeobservationalSponsorFederal University of São PauloRan2025 to 2026Enrolled103ConditionsHeart Rate Variability (HRV), Intracranial Pressure Change, Pulse Rate, Autonomic Nervous System ActivityArmsEvaluate the correlation between R-R interval and R-R equivalent on the noninvasive intracranial compliance monitor (BRV) and evaluate their correspondence considering the Time domain (HR, NN, NN50, R
3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

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  18. [A multi-source information fusion-based method for the local pulse wave velocity estimation in carotid artery].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Article
  19. 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

6 authors.

Niklas PilzCharité - Universitätsmedizin Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, 10117 Berlin, Germany.
Viktor HeinzCharité - Universitätsmedizin Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, 10117 Berlin, Germany.
Timon AxDepartment of Ophthalmology, Saarland University Medical Center, 66421 Homburg, Germany.
Leon FesselerCharité - Universitätsmedizin Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, 10117 Berlin, Germany.
Andreas PatzakCharité - Universitätsmedizin Berlin, Institute of Translational Physiology, 10117 Berlin, Germany.
Tomas Lucca BotheCharité - Universitätsmedizin Berlin, Institute of Physiology, Center for Space Medicine and Extreme Environments Berlin, 10117 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulse wave velocity (PWV) has been established as a promising biomarker in cardiovascular diagnostics, providing deep insights into vascular health and cardiovascular risk. Defined as the velocity at which the mechanical wave propagates along the arterial wall, PWV represents a useful surrogate marker for arterial vessel stiffness. PWV has garnered clinical attention, particularly in monitoring patients suffering from vascular diseases such as hypertension and diabetes mellitus. Its utility extends to preventive cardiology, aiding in identifying and stratifying cardiovascular risk. Despite the development of various measurement techniques, direct or indirect tonometry, Doppler ultrasound, oscillometric analysis, and magnetic resonance imaging (MRI), methodological variability and lack of standardization lead to inconsistencies in PWV assessment. In addition, PWV can be estimated through surrogate parameters, such as pulse arrival or pulse transit times, although this heterogeneity limits standardization and, therefore, its clinical use. Furthermore, confounding factors, such as variations in sympathetic tone, strongly influence PWV readings, thereby necessitating careful control during assessments. The bidirectional relationship between heart rate variability (HRV) and PWV underscores the interplay between cardiac autonomic function and vascular health, suggesting that alterations in one could directly influence the other. Future research should prioritize the standardization and increase comparability of PWV measurement techniques and explore the complex physiological variables influencing PWV. Integrating multiple physiological parameters such as PWV and HRV into algorithms based on artificial intelligence holds immense promise for advancing personalized vascular health assessments and cardiovascular care.

Indexed as

clinical applications of pulse wave velocityheart rate variabilityinterplay of pulse wave velocity and heart rate variabilitymeasurement of pulse wave velocitypulse wave velocity

Identifiers

PMID39139426
PMCPMC11317333

What OpenQuestion holds

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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.