Evidence map›Paper›PMID 37000606›Full record

ReviewAmerican journal of physiology. Heart and circulatory physiology2023

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet.

Jordi Alastruey, Peter H Charlton, Vasiliki Bikia, Birute Paliakaite, Bernhard Hametner, Rosa Maria Bruno, Marijn P Mulder, Samuel Vennin, Senol Piskin, Ashraf W Khir and 6 more

Abstract readReview
In one paragraph

Review in American journal of physiology. Heart and circulatory physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Vascular Age: A narrative review of assessment methods, clinical applications, and future directions.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. [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
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Uncertainty quantification of the pressure waveform using a Windkessel model.International journal for numerical methods in biomedical engineering · 2024
    Article
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

16 authors.

Jordi AlastrueyDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-3742-5259
Peter H CharltonDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-3836-8655
Vasiliki BikiaDivision of Vascular Surgery, School of Medicine, Stanford University, Stanford, California, United States.ORCID 0000-0002-4660-1560
Birute PaliakaiteBiomedical Engineering Institute, Kaunas University of Technology, Kaunas, Lithuania.ORCID 0000-0002-4831-6587
Bernhard HametnerAIT Austrian Institute of Technology, Center for Health and Bioresources, Medical Signal Analysis, Vienna, Austria.ORCID 0000-0003-2048-1019
Rosa Maria BrunoINSERM, U970, Paris Cardiovascular Research Center, Université de Paris, Hopital Europeen Georges Pompidou-APHP, Paris, France.ORCID 0000-0002-6107-3356
Marijn P MulderCardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, Enschede, The Netherlands.ORCID 0000-0003-0318-0046
Samuel VenninDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0001-7615-2690
Senol PiskinDepartment of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey.ORCID 0000-0002-8799-9472
Ashraf W KhirDepartment of Engineering, Durham University, Durham, United Kingdom.
Andrea GualaVall d'Hebron Institut de Recerca, Barcelona, Spain.ORCID 0000-0002-5006-8164
Christopher C MayerAIT Austrian Institute of Technology, Center for Health and Bioresources, Medical Signal Analysis, Vienna, Austria.ORCID 0000-0002-5612-5481
Jonathan MynardHeart Research, Murdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-5692-2106
Alun D HughesMRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom.ORCID 0000-0001-5432-5271
Patrick SegersInstitute for Biomedical Engineering and Technology, Ghent University, Ghent, Belgium.ORCID 0000-0003-3870-3409
Berend E WesterhofDepartment of Pulmonary Medicine, Amsterdam University Medical Centres, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-4753-2461

Funding

British Heart Foundation AA/18/6/34223British Heart Foundation FS/20/20/34626British Heart Foundation PG/15/104/31913British Heart Foundation PG/17/90/33415British Heart Foundation SP/F/21/150020British Heart Foundation SPG 2822621Department of Health
6 · The paper itself

Abstract

Arterial pulse waves (PWs) such as blood pressure and photoplethysmogram (PPG) signals contain a wealth of information on the cardiovascular (CV) system that can be exploited to assess vascular age and identify individuals at elevated CV risk. We review the possibilities, limitations, complementarity, and differences of reduced-order, biophysical models of arterial PW propagation, as well as theoretical and empirical methods for analyzing PW signals and extracting clinically relevant information for vascular age assessment. We provide detailed mathematical derivations of these models and theoretical methods, showing how they are related to each other. Finally, we outline directions for future research to realize the potential of modeling and analysis of PW signals for accurate assessment of vascular age in both the clinic and in daily life.

Indexed as

ArteriesPhotoplethysmographyHumansModels, CardiovascularPulse Wave Analysisagingarteriosclerosisatherosclerosishemodynamicspulse wave

Identifiers

PMID37000606
PMCPMC7614613

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.