Trial reportDysphagia2013
Noninvasive detection of thin-liquid aspiration using dual-axis swallowing accelerometry.
Trial report in Dysphagia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Pooled it
- Bedside diagnosis of dysphagia: a systematic review.Journal of hospital medicine · 2015Pooled it
- Diagnostic validity of methods for assessment of swallowing sounds: a systematic review.Brazilian journal of otorhinolaryngologyPooled it
- Cervical Vertebral Height Approximates Hyoid Displacement in Videofluoroscopic Images of Healthy Adults.Dysphagia · 2022Article
- Automated pharyngeal phase detection and bolus localization in videofluoroscopic swallowing study: Killing two birds with one stone?Computer methods and programs in biomedicine · 2022Article
- Wearable technology use for the analysis and monitoring of functions related to feeding and communication.CoDAS · 2022Article
- A Preliminary Investigation of Similarities of High Resolution Cervical Auscultation Signals Between Thin Liquid Barium and Water Swallows.IEEE journal of translational engineering in health and medicine · 2022Article
- Article
- The Long-Term Effects of COVID-19 on Dysphagia Evaluation and Treatment.Archives of physical medicine and rehabilitation · 2020Article
- Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings.Scientific reports · 2020Article
- Article
- Detection of Swallow Kinematic Events From Acoustic High-Resolution Cervical Auscultation Signals in Patients With Stroke.Archives of physical medicine and rehabilitation · 2019Article
- High-Resolution Cervical Auscultation Signal Features Reflect Vertical and Horizontal Displacements of the Hyoid Bone During Swallowing.IEEE journal of translational engineering in health and medicine · 2019Article
- A comparison between swallowing sounds and vibrations in patients with dysphagia.Computer methods and programs in biomedicine · 2017Article
- A Matched Dual-Tree Wavelet Denoising for Tri-Axial Swallowing Vibrations.Biomedical signal processing and control · 2016Article
- A statistical analysis of cervical auscultation signals from adults with unsafe airway protection.Journal of neuroengineering and rehabilitation · 2016Article
- Oropharyngeal dysphagia: manifestations and diagnosis.Nature reviews. Gastroenterology & hepatology · 2016Review
- Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques.IEEE transactions on human-machine systems · 2015Article
- Smartphone-Based Real-time Assessment of Swallowing Ability From the Swallowing Sound.IEEE journal of translational engineering in health and medicine · 2015Article
- Automated acoustic analysis in detection of spontaneous swallows in Parkinson's disease.Dysphagia · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Aspiration (the entry of foreign contents into the upper airway) is a serious concern for individuals with dysphagia and can lead to pneumonia. However, overt signs of aspiration, such as cough, are not always present, making noninstrumental diagnosis challenging. Valid, reliable tools for detecting aspiration during clinical screening and assessment are needed. In this study we investigated the validity of a noninvasive accelerometry signal-processing classifier for detecting aspiration. Dual-axis cervical accelerometry signals were collected from 40 adults on thin-liquid swallowing tasks during videofluoroscopic swallowing examinations. Signal-processing algorithms were used to remove known sources of artifact and a classifier was trained to identify signals associated with penetration-aspiration. Validity was measured in comparison to blinded ratings of penetration-aspiration from the concurrently recorded videofluoroscopies. On a bolus-by-bolus basis, the accelerometry classifier had a 10 % false-negative rate (90 % sensitivity) and a 23 % false-positive rate (77 % specificity) for detecting penetration-aspiration. We conclude that accelerometry can be used to support valid, reliable, and efficient detection of aspiration risk in patients with suspected dysphagia.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.