Evidence map›Paper›PMID 33064563›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2021

Estimating central blood pressure from aortic flow: development and assessment of algorithms.

Jorge Mariscal-Harana, Peter H Charlton, Samuel Vennin, Jorge Aramburu, Mateusz Cezary Florkow, Arna van Engelen, Torben Schneider, Hubrecht de Bliek, Bram Ruijsink, Israel Valverde and 6 more

Abstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Physics-Informed Emulation of Systemic Circulation for Fast Parameter Estimation and Uncertainty Quantification.International journal for numerical methods in biomedical engineering · 2026
    Article
  3. Article
  4. Article
  5. Uncertainty quantification of the pressure waveform using a Windkessel model.International journal for numerical methods in biomedical engineering · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet.American journal of physiology. Heart and circulatory physiology · 2023
    Review
  10. Hemodynamic profiles of arterial hypertension with ambulatory blood pressure monitoring.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  11. Article
  12. Article
  13. 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.

Jorge Mariscal-HaranaDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0003-1507-8380
Peter H CharltonDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0003-3836-8655
Samuel VenninDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0001-7615-2690
Jorge AramburuTECNUN Escuela de Ingenieros, Universidad de Navarra, Donostia-San Sebastián, Spain.ORCID 0000-0002-2911-3397
Mateusz Cezary FlorkowDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0003-2520-7705
Arna van EngelenDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.
Torben SchneiderPhilips Healthcare UK, Philips Centre, Guildford Business Park, Guildford, Surrey, United Kingdom.
Hubrecht de BliekHSDP Clinical Platforms, Philips Healthcare, Eindhoven, The Netherlands.
Bram RuijsinkDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0001-8313-5709
Israel ValverdeDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0001-5661-9900
Philipp BeerbaumDepartment of Pediatric Cardiology and Intensive Care, Hannover Medical School, Hannover, Germany.
Heynric GrotenhuisDepartment of Pediatric Cardiology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands.
Marietta CharakidaDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.
Phil ChowienczykDepartment of Clinical Pharmacology, King's College London, King's Health Partners, London , United Kingdom.
Spencer J SherwinDepartment of Aeronautics, South Kensington Campus, Imperial College London, London, United Kingdom.
Jordi AlastrueyDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom.ORCID 0000-0003-3742-5259

Funding

REDOX CHEMISTRY &BIOCHEMISTRY OF ORGANOSULFUR COMPOUNDSR01HL015104 · NHLBI · UNIVERSITY OF ARIZONA · PI GLASS, RICHARD S · 1985 to 1992
–
British Heart Foundation PG/15/104/31913British Heart Foundation PG/17/50/32903British Heart Foundation (BHF) PG/15/104/31913King's College London Medical Engineering Centre (Wellcome Trust EPSRC Centre of Excellence in Medical Engineering) WT 203148/Z/16/ZWellcome Trust
6 · The paper itself

Abstract

Central blood pressure (cBP) is a highly prognostic cardiovascular (CV) risk factor whose accurate, invasive assessment is costly and carries risks to patients. We developed and assessed novel algorithms for estimating cBP from noninvasive aortic hemodynamic data and a peripheral blood pressure measurement. These algorithms were created using three blood flow models: the two- and three-element Windkessel (0-D) models and a one-dimensional (1-D) model of the thoracic aorta. We tested new and existing methods for estimating CV parameters (left ventricular ejection time, outflow BP, arterial resistance and compliance, pulse wave velocity, and characteristic impedance) required for the cBP algorithms, using virtual (simulated) subjects (

Indexed as

Blood CirculationBlood PressureModels, CardiovascularAdolescentAdultAlgorithmsAorta, ThoracicCardiovascular DiseasesChildFemaleHumansMaleblood flow modelscentral blood pressuremagnetic resonance imagingultrasoundvirtual subjects

Identifiers

PMID33064563
PMCPMC7612539

What OpenQuestion holds

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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.