Evidence map›Paper›PMID 31446803›Full record

Trial reportHypertension (Dallas, Tex. : 1979)2019

Identification of Distinct Arterial Waveform Clusters and a Longitudinal Evaluation of Their Clinical Usefulness.

John D Sluyter, Alun D Hughes, Carlos A Camargo, Simon A McG Thom, Kim H Parker, Bernhard Hametner, Siegfried Wassertheurer, Robert Scragg

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Hypertension (Dallas, Tex. : 1979), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. [Research progress in central aortic pressure estimation algorithms].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

8 authors.

John D SluyterFrom the School of Population Health, University of Auckland, New Zealand (J.D.S., R.S.).
Alun D HughesDepartment of Population Science & Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, United Kingdom (A.D.H.).
Carlos A CamargoDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (C.A.C.).
Simon A McG ThomInternational Centre for Circulatory Health (S.A.M.T.), Imperial College, London, United Kingdom.
Kim H ParkerDepartment of Bioengineering (K.H.P.), Imperial College, London, United Kingdom.
Bernhard HametnerCenter for Health & Bioresources, AIT Austrian Institute of Technology, Vienna, Austria (B.H., S.W.).
Siegfried WassertheurerCenter for Health & Bioresources, AIT Austrian Institute of Technology, Vienna, Austria (B.H., S.W.).
Robert ScraggFrom the School of Population Health, University of Auckland, New Zealand (J.D.S., R.S.).

Funding

British Heart Foundation CS/15/6/31468British Heart Foundation PG/13/6/29934British Heart Foundation PG/15/75/31748British Heart Foundation PG/17/90/33415Medical Research Council MC_UU_12019/1
6 · The paper itself

Abstract

Clustering of arterial blood pressure (BP) waveform parameters could summarize complex information into distinct elements, which could be used to investigate cumulative (nonredundant) associations. We investigated this hypothesis in a large, adult population-based study (ViDA trial [Vitamin D Assessment] trial). To interpret the clusters and evaluate their usefulness, we examined their predictors and associations with cardiovascular events. In 4253 adults (mean age 65 years; 55% male) without a prior cardiovascular event, suprasystolic oscillometry was performed, yielding aortic pressure waveforms and several hemodynamic parameters. Participants were followed up for 4.6 years (median), accruing 300 cardiovascular events. Principal component analysis reduced 14 arterial waveform parameters to 3 uncorrelated factors that together explained 90% of the variability of the original data. Factors 1, 2, and 3 appeared to represent BP pulsatility, mean BP, and wave reflection, respectively. Across 6 antihypertensive drug classes, there were no differences in brachial systolic (

Indexed as

AgedAged, 80 and overAntihypertensive AgentsArterial PressureBrachial ArteryFemaleHemodynamicsHumansHypertensionLongitudinal StudiesMaleMiddle AgedPulse Wave AnalysisAntihypertensive Agentsblood pressurecardiovascular diseasehypertensionprincipal component analysisrisk

Identifiers

PMID31446803
PMCPMC6742504

What OpenQuestion holds

Textmetadata
LicenceTDM
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.