Evidence map›Paper›PMID 38123887›Full record

ArticleMedical & biological engineering & computing2024

Effect of transmural pressure on the estimation of arterial stiffness index from the photoplethysmographic waveform.

Kristjan Pilt, Andy Reiu

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Kristjan PiltDepartment of Health Technologies, Tallinn University of Technology, Ehitajate Tee 5, 19086, Tallinn, Estonia. kristjan.pilt@taltech.ee.ORCID http://orcid.org/0000-0003-2422-0430
Andy ReiuDepartment of Health Technologies, Tallinn University of Technology, Ehitajate Tee 5, 19086, Tallinn, Estonia.
Tallinn University of Technology · EE

Funding

Eesti Teadusagentuur IUT 19-2Eesti Teadusagentuur PSG819Eesti Teadusagentuur PUTJD815Interreg EXCITE
6 · The paper itself

Abstract

The aim of this study was to find the effect of transmural pressure on the determination of the photoplethysmographic (PPG) waveform arterial stiffness index (PPGAI). The study was conducted on 51 subjects without diagnosis of cardiovascular disease, aged between 24 and 74 years. The relation between the transmural pressure, which is the difference between the arterial blood pressure and the PPG sensor contact pressure, and the PPGAI was determined. PPG, beat-to-beat blood pressure, and sensor contact pressure signals were recorded from the index, middle, and ring finger. The PPG sensor contact pressure of the index finger was increased from 20 to 120 mmHg. The aortic augmentation index (AIx@75) was estimated with a SphygmoCor device as a reference. High correlation coefficients r = 0.79 and r = 0.83 between PPGAI and AIx@75, and low PPGAI standard deviations were observed at the transmural pressures of 10 and 20 mmHg, respectively. Transmural pressure of 20 mmHg can be considered suitable for the PPG signal registration and PPGAI calculation for the assessment of arterial stiffness. In summary, the contact pressure of the sensor should be selected according to theblood pressure of the subject finger in order to achieve the transmural pressure suitable for the assessment of PPGAI and arterial stiffness.

Indexed as

Cardiovascular DiseasesVascular StiffnessAdultAgedBlood PressureFingersHumansMiddle AgedPhotoplethysmographyYoung AdultArterial stiffnessAugmentation indexPhotoplethysmographyTransmural pressure

Identifiers

PMID38123887
OpenAlexW4390023691

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.