Evidence map›Paper›PMID 31020905›Full record

ArticleJournal of the American Heart Association2019

Unreliable Estimation of Aortic Pulse Wave Velocity Provided by the Mobil-O-Graph Algorithm-Based System in Marfan Syndrome.

Paolo Salvi, Giulia Furlanis, Andrea Grillo, Alessandro Pini, Lucia Salvi, Susan Marelli, Matteo Rovina, Francesco Moretti, Raffaella Gaetano, Inês Pintassilgo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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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

14 authors at 7 institutions in 2 countries.

Paolo Salvi1 Department of Cardiovascular, Neural and Metabolic Sciences Istituto Auxologico Italiano IRCCS Milan Italy.
Giulia Furlanis2 Department of Medical Surgical and Health Sciences University of Trieste Trieste Italy.
Andrea Grillo1 Department of Cardiovascular, Neural and Metabolic Sciences Istituto Auxologico Italiano IRCCS Milan Italy.
Alessandro Pini7 Department of Cardiology Azienda Socio Sanitaria Territoriale Fatebenefratelli Sacco Rare Disease Center "Marfan Clinic" Milan Italy.
Lucia Salvi4 Department of Internal Medicine and Therapeutics Fondazione IRCCS Policlinico San Matteo University of Pavia Pavia Italy.
Susan Marelli7 Department of Cardiology Azienda Socio Sanitaria Territoriale Fatebenefratelli Sacco Rare Disease Center "Marfan Clinic" Milan Italy.
Matteo Rovina2 Department of Medical Surgical and Health Sciences University of Trieste Trieste Italy.
Francesco Moretti5 Department of Molecular Medicine Fondazione IRCCS Policlinico San Matteo University of Pavia Italy.
Raffaella Gaetano
Inês Pintassilgo6 Hospital Garcia de Orta, Medicina Interna Almada Portugal.
Andrea Faini1 Department of Cardiovascular, Neural and Metabolic Sciences Istituto Auxologico Italiano IRCCS Milan Italy.
Bruno Fabris2 Department of Medical Surgical and Health Sciences University of Trieste Trieste Italy.
Renzo Carretta2 Department of Medical Surgical and Health Sciences University of Trieste Trieste Italy.
Gianfranco Parati1 Department of Cardiovascular, Neural and Metabolic Sciences Istituto Auxologico Italiano IRCCS Milan Italy.
University of Trieste · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITASST Fatebenefratelli Sacco · ITHospital Garcia de Orta · PTIRCCS Istituto Auxologico Italiano · ITUniversity of Milano-Bicocca · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Several devices have been proposed to assess arterial stiffness in clinical daily use over the past few years, by estimating aortic pulse wave velocity (PWV) from a single measurement of brachial oscillometric blood pressure, using patented algorithms. It is uncertain if these systems are able to provide additional elements, beyond the contribution carried by age and blood pressure levels, in the definition of early vascular damage expressed by the stiffening of the arterial wall. Methods and Results The aim of our study was to compare the estimated algorithm-based PWV values, provided by the Mobil-O-Graph system, with the standard noninvasive assessment of aortic PWV in patients with Marfan syndrome (ie, in subjects characterized by premature aortic stiffening and low blood pressure values). Aortic stiffness was simultaneously evaluated by carotid-femoral PWV with a validated arterial tonometer and estimated with an arm cuff-based ambulatory blood pressure monitoring Mobil-O-Graph device on 103 patients with Marfan syndrome (50 men; mean± SD age, 38±15 years). Aortic PWV, estimated by the Mobil-O-Graph, was significantly ( P<0.0001) lower (mean± SD, 6.1±1.3 m/s) than carotid-femoral PWV provided by arterial tonometry (mean± SD , 8.8±3.1 m/s). The average of differences between PWV values provided by the 2 methods (±1.96×SD) was -2.7±5.7 m/s. Conclusions The Mobil-O-Graph provides PWV values related to an ideal subject for a given age and blood pressure, but it is not able to evaluate early vascular aging expressed by high PWV in the individual patient. This is well shown in patients with Marfan syndrome.

Indexed as

AlgorithmsAdultBlood PressureBlood Pressure DeterminationCarotid-Femoral Pulse Wave VelocityFemaleHumansMaleManometryMarfan SyndromeMiddle AgedPulse Wave AnalysisReproducibility of ResultsVascular Stiffnessarterial stiffnessearly vascular agingMarfan syndromeMobil‐O‐Graphpulse wave velocity

Identifiers

PMID31020905
PMCPMC6512139
OpenAlexW2942346726

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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.