Evidence map›Paper›PMID 30531842›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2019

Multiscale mathematical modeling vs. the generalized transfer function approach for aortic pressure estimation: a comparison with invasive data.

Andrea Guala, Francesco Tosello, Dario Leone, Luca Sabia, Fabrizio D'Ascenzo, Claudio Moretti, Martina Bollati, Franco Veglio, Luca Ridolfi, Alberto Milan

Abstract readComparative StudyEvaluation Study
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In one paragraph

Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Risk factors for a central-to-peripheral arterial blood pressure gradient in adults: a systematic review.Canadian journal of anaesthesia = Journal canadien d'anesthesie · 2025
    Pooled it
  2. Article
  3. Vascular ageing: moving from bench towards bedside.European journal of preventive cardiology · 2023
    Article
  4. Review
  5. Article
  6. Oscillometric estimates of aortic blood pressure as an alternative to carotid blood pressure to assess carotid stiffness in humans.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
    Article
  7. Estimating central blood pressure from aortic flow: development and assessment of algorithms.American journal of physiology. Heart and circulatory physiology · 2021
    Article
  8. [Application of biomechanical modeling and simulation in the development of non-invasive technologies and devices for cardiovascular testing].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Article
  9. Article
  10. 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

10 authors at 3 institutions in 2 countries.

Andrea GualaVall d'Hebron Institut de Recerca, Barcelona, Spain. andrea.guala@yahoo.com.
Francesco ToselloInternal and Hypertension Division, Department of Medical Sciences, University of Turin, Turin, Italy.
Dario LeoneInternal and Hypertension Division, Department of Medical Sciences, University of Turin, Turin, Italy.
Luca SabiaInternal and Hypertension Division, Department of Medical Sciences, University of Turin, Turin, Italy.
Fabrizio D'AscenzoHemodynamic Laboratory, Department of Medical Sciences, University of Turin, Turin, Italy.
Claudio MorettiHemodynamic Laboratory, Department of Medical Sciences, University of Turin, Turin, Italy.
Martina BollatiInternal and Hypertension Division, Department of Medical Sciences, University of Turin, Turin, Italy.
Franco VeglioInternal and Hypertension Division, Department of Medical Sciences, University of Turin, Turin, Italy.
Luca RidolfiDIATI, Politecnico di Torino, Turin, Italy.
Alberto MilanInternal and Hypertension Division, Department of Medical Sciences, University of Turin, Turin, Italy.
University of Turin · ITPolytechnic University of Turin · ITVall d'Hebron Institut de Recerca · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to evaluate the performance of a mathematical model and currently available non-invasive techniques (generalized transfer function (GTF) method and brachial pressure) in the estimation of aortic pressure. We also aimed to investigate error dependence on brachial pressure errors, aorta-to-brachial pressure changes and demographic/clinical conditions. Sixty-two patients referred for invasive hemodynamic evaluation were consecutively recruited. Simultaneously, the registration of the aortic pressure using a fluid-filled catheter, brachial pressure and radial tonometric waveform was recorded. Accordingly, the GTF device and mathematical model were set. Radial invasive pressure was recorded soon after aortic measurement. The average invasive aortic pressure was 141.3 ± 20.2/76 ± 12.2 mm Hg. The simultaneous brachial pressure was 144 ± 17.8/81.5 ± 11.7 mm Hg. The GTF-based and model-based aortic pressure estimates were 133.1 ± 17.3/82.4 ± 12 and 137 ± 21.6/72.2 ± 16.7 mm Hg, respectively. The Bland-Altman plots showed a marked tendency to pressure overestimation for increasing absolute values, with the exclusion of mathematical model diastolic estimations. The systolic pressure was increased from the aortic to radial locations (7.5 ± 19 mm Hg), while the diastolic pressure was decreased (3.8 ± 9.8 mm Hg). The brachial pressure underestimated the systolic and overestimated diastolic intra-arterial radial pressure. GTF errors were independently correlated with the variability in pulse pressure amplification and with the brachial error. Errors of the mathematical model were related to only demographic and clinical conditions. Neither a multiscale mathematical model nor a generalized transfer function device substantially outperformed the oscillometric brachial pressure in the estimation of aortic pressure. Mathematical modeling should be improved by including further patient-specific conditions, while the variability in pulse pressure amplification may hamper the performance of the GTF method in patients at the risk of coronary artery disease.

Indexed as

Arterial PressureModels, CardiovascularAgedCatheterizationFemaleHumansMaleMiddle AgedAortic pressureGeneralized transfer functionHypertensionMathematical modelingPulse pressure amplification

Identifiers

PMID30531842
OpenAlexW2904867779

What OpenQuestion holds

Textmetadata
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.