Evidence map›Paper›PMID 38593112›Full record

ArticlePloS one2024

Correlation between estimated pulse wave velocity values from two equations in healthy and under cardiovascular risk populations.

Marco Av Silva, Ana Ps De Oliveira, Ana Cs Queiroz, Amanda O Spaziani, Leticia Ab Fernandes, Kleber A De Oliveira, Valquiria Da S Lopes, Manoel P Landim, Luciana N Cosenso-Martin, Jose F Vilela-Martin

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06836622 (Correlation Between the Values of Carotid-Femoral, Oscillometric and Estimated Pulse Wave Velocity), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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.

NCT06836622 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Correlation Between the Values of Carotid-Femoral, Oscillometric and Estimated Pulse Wave Velocity

TypeobservationalSponsorHospital de BaseRan2026 to 2027Enrolled350ConditionsHypertension, Arterial Stiffness, Pulse Wave Analysis, Pulse Wave Velocity
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Marco Av SilvaDivision of Cardiology, Department of Internal Medicine, Federal University of the Triângulo Mineiro, Uberaba, Brazil.ORCID 0000-0001-5427-1939
Ana Ps De OliveiraDepartment of Microbiology, Immunology and Parasitology, Federal University of the Triângulo Mineiro, Uberaba, Brazil.
Ana Cs QueirozCardiac Diagnostic Center, Uberaba, Brazil.
Amanda O SpazianiDepartment of Internal Medicine, São Jose do Rio Preto State Medical School, São José do Rio Preto, Brazil.
Leticia Ab FernandesDepartment of Internal Medicine, São Jose do Rio Preto State Medical School, São José do Rio Preto, Brazil.
Kleber A De OliveiraDepartment of Internal Medicine, São Jose do Rio Preto State Medical School, São José do Rio Preto, Brazil.ORCID 0000-0002-7747-4680
Valquiria Da S LopesDepartment of Internal Medicine, São Jose do Rio Preto State Medical School, São José do Rio Preto, Brazil.ORCID 0000-0001-9755-5798
Manoel P LandimDepartment of Internal Medicine, São Jose do Rio Preto State Medical School, São José do Rio Preto, Brazil.
Luciana N Cosenso-MartinDepartment of Internal Medicine, São Jose do Rio Preto State Medical School, São José do Rio Preto, Brazil.
Jose F Vilela-MartinDepartment of Internal Medicine, São Jose do Rio Preto State Medical School, São José do Rio Preto, Brazil.ORCID 0000-0001-6960-2825
Faculdade de Medicina de São José do Rio Preto · BRUniversidade de Uberaba · BRUniversidade Federal do Triângulo Mineiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEquations can calculate pulse wave velocity (ePWV) from blood pressure values (BP) and age. The ePWV predicts cardiovascular events beyond carotid-femoral PWV. We aimed to evaluate the correlation between four different equations to calculate ePWV.

methodsThe ePWV was estimated utilizing mean BP (MBP) from office BP (MBPOBP) or 24-hour ambulatory BP (MBP24-hBP). We separated the whole sample into two groups: individuals with risk factors and healthy individuals. The e-PWV was calculated as follows: [Formula: see text] [Formula: see text] We calculated the concordance correlation coefficient (Pc) between e1-PWVOBP vs e2-PWVOBP, e1-PWV24-hBP vs e2-PWV24-hBP, and mean values of e1-PWVOBP, e2-PWVOBP, e1-PWV24-hBP and e2-PWV24-hBP. The multilevel regression model determined how much the ePWVs are influenced by age and MBP values.

resultsWe analyzed data from 1541 individuals; 1374 ones with risk factors and 167 healthy ones. The values are presented for the entire sample, for risk-factor patients and for healthy individuals respectively. The correlation between e1-PWVOBP with e2-PWVOBP and e1-PWV24-hBP with e2-PWV24-hBP was almost perfect. The Pc for e1-PWVOBP vs e2-PWVOBP was 0.996 (0.995-0.996), 0.996 (0.995-0.996), and 0.994 (0.992-0.995); furthermore, it was 0.994 (0.993-0.995), 0.994 (0.994-0.995), 0.987 (0.983-0.990) to the e1-PWV24-hBP vs e2-PWV24-hBP. There were no significant differences between mean values (m/s) for e1-PWVOBP vs e2-PWVOBP 8.98±1.9 vs 8.97±1.8; p = 0.88, 9.14±1.8 vs 9.13±1.8; p = 0.88, and 7.57±1.3 vs 7.65±1.3; p = 0.5; mean values are also similar for e1-PWV24-hBP vs e2-PWV24-hBP, 8.36±1.7 vs 8.46±1.6; p = 0.09, 8.50±1.7 vs 8.58±1.7; p = 0.21 and 7.26±1.3 vs 7.39±1.2; p = 0.34. The multiple linear regression showed that age, MBP, and age2 predicted more than 99.5% of all four e-PWV.

conclusionOur data presents a nearly perfect correlation between the values of two equations to calculate the estimated PWV, whether utilizing office or ambulatory blood pressure.

Indexed as

Cardiovascular DiseasesHypertensionVascular StiffnessBlood PressureBlood Pressure Monitoring, AmbulatoryHeart Disease Risk FactorsHumansPulse Wave AnalysisRisk Factors

Identifiers

PMID38593112
PMCPMC11003621
OpenAlexW4394597490

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.