Evidence map›Paper›PMID 34010558›Full record

ArticleACS sensors2021

Conformable AlN Piezoelectric Sensors as a Non-invasive Approach for Swallowing Disorder Assessment.

Lara Natta, Francesco Guido, Luciana Algieri, Vincenzo M Mastronardi, Francesco Rizzi, Elisa Scarpa, Antonio Qualtieri, Maria T Todaro, Vincenzo Sallustio, Massimo De Vittorio

Abstract read
In one paragraph

Article in ACS sensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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

10 authors.

Lara NattaIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.ORCID 0000-0003-0342-3351
Francesco GuidoIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.ORCID 0000-0003-2038-215X
Luciana AlgieriIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.ORCID 0000-0003-3667-5432
Vincenzo M MastronardiIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.
Francesco RizziIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.ORCID 0000-0002-5142-5231
Elisa ScarpaIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.ORCID 0000-0002-5638-845X
Antonio QualtieriIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.
Maria T TodaroConsiglio Nazionale delle Ricerche, c/o Campus Ecotekne, Istituto di Nanotecnologia Via Monteroni, Lecce 73100, Italy.ORCID 0000-0001-6471-0843
Vincenzo SallustioHospital Unit Phoniatrics and Communication Disorders, Rehabilitation Department, ASL Lecce, Lecce 73100, Italy.
Massimo De VittorioIstituto Italiano di Tecnologia, Center for Biomolecular Nanotechnologies, Arnesano 73010, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deglutition disorders (dysphagia) are common symptoms of a large number of diseases and can lead to severe deterioration of the patient's quality of life. The clinical evaluation of this problem involves an invasive screening, whose results are subjective and do not provide a precise and quantitative assessment. To overcome these issues, alternative possibilities based on wearable technologies have been proposed. We explore the use of ultrathin, compliant, and flexible piezoelectric patches that are able to convert the laryngeal movement into a well-defined electrical signal, with extremely low anatomical obstruction and high strain resolution. The sensor is based on an aluminum nitride thin film, grown on a soft Kapton substrate, integrated with an electrical charge amplifier and low-power, wireless connection to a smartphone. An ad-hoc designed laryngeal motion simulator (LMS), which is able to mimic the motions of the laryngeal prominence, was used to evaluate its performances. The physiological deglutition waveforms were then extrapolated on a healthy volunteer and compared with the sEMG (surface electromyography) of the submental muscles. Finally, different tests were conducted to assess the ability of the sensor to provide clinically relevant information. The reliability of these features permits an unbiased evaluation of the swallowing ability, paving the way to the creation of a system that is able to provide a point-of-care automatic, unobtrusive, and real-time extrapolation of the patient's swallowing quality even during normal behavior.

Indexed as

Deglutition DisordersDeglutitionElectromyographyHumansQuality of LifeReproducibility of Resultsaluminum nitridedeglutition analysisflexible electronicslaryngeal movementpiezoelectric sensor

Identifiers

PMID34010558
PMCPMC8294609

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Registered trials

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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.