Evidence map›Paper›PMID 36056725›Full record

ArticleJournal of the American Heart Association2022

Prediction of Cardiovascular Events by Pulse Waveform Parameters: Analysis of CARTaGENE.

Louis-Charles Desbiens, Catherine Fortier, Annie-Claire Nadeau-Fredette, François Madore, Bernhard Hametner, Siegfried Wassertheurer, Mohsen Agharazii, Rémi Goupil

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2022. 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
3.0field-weighted citation impact, top 8% 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, 20 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

8 authors at 5 institutions in 2 countries.

Louis-Charles DesbiensDepartment of Medicine Université de Montréal Montreal Canada.
Catherine FortierDepartment of Medicine Université de Montréal Montreal Canada.ORCID 0000-0002-6475-5336
Annie-Claire Nadeau-FredetteDepartment of Medicine Université de Montréal Montreal Canada.
François MadoreDepartment of Medicine Université de Montréal Montreal Canada.
Bernhard HametnerAIT Austrian Institute of Technology Vienna Austria.ORCID 0000-0003-2048-1019
Siegfried WassertheurerAIT Austrian Institute of Technology Vienna Austria.
Mohsen AgharaziiDepartment of Medicine Université Laval Quebec City Canada.
Rémi GoupilDepartment of Medicine Université de Montréal Montreal Canada.ORCID 0000-0002-0098-3735
Hôpital du Sacré-Cœur de Montréal · CAAustrian Institute of Technology · ATHôpital Maisonneuve-Rosemont · CAUniversité de Montréal · CAUniversité Laval · CA

Funding

CIHR PJT-173313
6 · The paper itself

Abstract

Background Waveform parameters provide approximate data about aortic wave reflection. However, their association with cardiovascular events remains controversial and their role in cardiovascular prediction is unknown. Methods and Results We analyzed participants aged between 40 and 69 from the population-based CARTaGENE cohort. Baseline pulse wave analysis (central pulse pressure, augmentation index) and wave separation analysis (forward pressure, backward pressure, reflection magnitude) parameters were derived from radial artery tonometry. Associations between each parameter and major adverse atherosclerotic events (MACE; cardiovascular death, stroke, myocardial infarction) were obtained using adjusted Cox models. The incremental predictive value of each parameter compared with the 10-year atherosclerotic cardiovascular disease score alone was assessed using hazard ratios, c-index differences, continuous net reclassification indexes, and integrated discrimination indexes. From 17 561 eligible patients, 2315 patients had a MACE during a median follow-up of 10.1 years. Central pulse pressure, forward pressure, and backward pressure, but not augmentation index and reflection magnitude, were significantly associated with MACE after full adjustment. All parameters except forward pressure statistically improved MACE prediction compared with the atherosclerotic cardiovascular disease score alone. The greatest prediction improvement was seen with augmentation index and reflection magnitude but remained small in magnitude. These 2 parameters enhanced predictive performance more strongly in patients with low baseline atherosclerotic cardiovascular disease scores. Up to 5.7% of individuals were reclassified into a different risk stratum by adding waveform parameters to atherosclerotic cardiovascular disease scores. Conclusions Some waveform parameters are independently associated with MACEs in a population-based cohort. Augmentation index and reflection magnitude slightly improve risk prediction, especially in patients at low cardiovascular risk.

Indexed as

AtherosclerosisCardiovascular DiseasesMyocardial InfarctionAdultAgedAortaBlood PressureHumansMiddle AgedPulse Wave AnalysisRadial Arterycardiovascular predictioncentral pressurepulse wave analysiswave separation analysis

Identifiers

PMID36056725
PMCPMC9496446
OpenAlexW4294376287

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.