Evidence map›Paper›PMID 39559782›Full record

ArticleIEEE open journal of engineering in medicine and biology2024

Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level.

Chiara Romano, Emanuele Maiorana, Annunziata Nusca, Simone Circhetta, Sergio Silvestri, Schena Emiliano, Gian Paolo Ussia, Carlo Massaroni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2024. 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

8 authors.

Chiara RomanoResearch Unit of Measurements and Biomedical InstrumentationDepartment of Engineering, Università Campus Bio-Medico di Roma 00128 Rome Italy.ORCID https://orcid.org/0000-0003-3525-0213
Emanuele MaioranaBiometric Systems and Multimedia Forensics (BioMedia4n6) Laboratory of the Department of Industrial, Electronic and Mechanical EngineeringRoma Tre University 00146 Rome Italy.ORCID https://orcid.org/0000-0002-4312-6434
Annunziata NuscaFondazione Policlinico Universitario Campus Bio-Medico 00128 Roma Italy.ORCID https://orcid.org/0000-0002-5616-3197
Simone CirchettaFondazione Policlinico Universitario Campus Bio-Medico 00128 Roma Italy.
Sergio SilvestriResearch Unit of Measurements and Biomedical InstrumentationDepartment of Engineering, Università Campus Bio-Medico di Roma 00128 Rome Italy.ORCID https://orcid.org/0000-0002-5863-8336
Schena EmilianoResearch Unit of Measurements and Biomedical instrumentation, Department of EngineeringUniversità Campus Bio-Medico di Roma 00128 Rome Italy.ORCID https://orcid.org/0000-0002-9696-1265
Gian Paolo UssiaFondazione Policlinico Universitario Campus Bio-Medico 00128 Roma Italy.ORCID https://orcid.org/0000-0001-8849-3097
Carlo MassaroniResearch Unit of Measurements and Biomedical instrumentation, Department of EngineeringUniversità Campus Bio-Medico di Roma 00128 Rome Italy.ORCID https://orcid.org/0000-0002-3090-5623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

aortic stenosis (AS)gyrocardiogrammachine learningseismocardiogramsensorsWearables

Identifiers

PMID39559782
PMCPMC11573360

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.