Evidence map›Paper›PMID 38045918›Full record

ArticleFrontiers in cardiovascular medicine2023

Estimation of central blood pressure waveform from femoral blood pressure waveform by blind sources separation.

Laila Gbaoui, Christoph Hoeschen, Eugenijus Kaniusas, Saher Khatib, Stephan Gretschel, Ernst Wellnhofer

Abstract read
PubMed Full text at PMC Publisher
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Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Laila GbaouiChair of Medical System Technology, Institute for Medical Instrumentation, Otto von Guericke University, Magdeburg, Germany.
Christoph HoeschenChair of Medical System Technology, Institute for Medical Instrumentation, Otto von Guericke University, Magdeburg, Germany.
Eugenijus KaniusasInstitute of Biomedical Electronics, Vienna University of Technology (TU Wien), Vienna, Austria.
Saher KhatibDepartment of General, Visceral-, Thoracic and Vascular Surgery, University Hospital of Ruppin-Brandenburg, Neuruppin, Germany.
Stephan GretschelDepartment of General, Visceral-, Thoracic and Vascular Surgery, University Hospital of Ruppin-Brandenburg, Neuruppin, Germany.
Ernst WellnhoferInstitute of Computer-Assisted Cardiovascular Medicine, Charité, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Central blood pressure ( Methods: The intra-arterial femoral Results: The SCICA tool estimated the c Conclusions: The SCICA approach is a powerful tool that identifies sources contributing to morphological distortion at peripheral arteries and estimates

Indexed as

aortic blood pressureblind source separation analysiscentral blood pressure estimationfemoral arterypulse wave propagationpulse wave reflectionsingle-channel independent component analysisstate space reconstruction

Identifiers

PMID38045918
PMCPMC10690369

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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.