Evidence map›Paper›PMID 41485241›Full record

ArticleOtolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery2026

Utility of a Novel Mobile Lip-Reading Application for Patients After Total Laryngectomy.

Carly A Fassler, Shreyas G Krishnapura, Daniel Sharbel, Eben Rosenthal, James Netterville, Kyle Mannion, Alexander Langerman, Robert Sinard, Sarah Rohde, Michael C Topf

Abstract read
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In one paragraph

Article in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Carly A FasslerVanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0001-8085-7917
Shreyas G KrishnapuraVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Daniel SharbelDepartment of Otolaryngology-Head & Neck Surgery, Augusta University Medical Center, Augusta, Georgia, USA.
Eben RosenthalDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
James NettervilleDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Kyle MannionDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Alexander LangermanDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Robert SinardDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Sarah RohdeDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Michael C TopfDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-1022-4417

Funding

Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
Augmented Reality to Guide Head and Neck Cancer SurgeryK08CA293255 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Michael Topf · 2024 to 2026
$645k
NCI NIH HHS K08 CA293255NCI NIH HHS K12 CA090625
6 · The paper itself

Abstract

Total laryngectomy (TL) patients have limited options for speech rehabilitation in the immediate postoperative period, resulting in communication difficulties and patient frustration. This study investigates a novel mobile application (app), Speech Recognition Application for the Voice Impaired (SRAVI), to improve postoperative communication for TL patients. Participants received a tutorial on the technology prior to use and had access to the app throughout their hospital admission. A total of 16 patients were included. Of 652 valid transactions within the app, accurate phrase return on the first attempt was 43% with a total accuracy of 67%. Patients used SRAVI primarily to communicate with their care team (66.7%) and with family members/social support (80%). Patients reported using SRAVI, on average, 43.6% of the time to communicate during their hospitalization the majority (69.7%) preferred SRAVI to written communication. In TL patients, use of speech recognition technology is feasible in the immediate postoperative period.

Indexed as

LaryngectomyMobile ApplicationsSpeech Recognition SoftwareVoice DisordersAgedFemaleHumansLaryngeal NeoplasmsMaleMiddle Agedhead and neck cancer carenovel technologypatient quality of lifepost‐operative communicationTotal laryngectomy

Identifiers

PMID41485241
PMCPMC12860178

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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.