Evidence map›Paper›PMID 41071984›Full record

ArticleJMIR mHealth and uHealth2025

Wearable Technologies in Head and Neck Oncology: Scoping Review.

Matthew Shammas-Toma, Gianluca Sampieri, Michael Xie, Aishwaria Maxwell, Alex Esemezie, Quynh Pham, Joseph A Cafazzo, Philip Wong, C Jillian Tsai, David P Goldstein and 3 more

Abstract readScoping Review
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Experiences of mHealth use in head and neck cancer care: a thematic synthesis guided by the Unified Theory of Acceptance and Use of Technology.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

13 authors.

Matthew Shammas-Toma *Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9338-6541
Gianluca Sampieri *Department of Otolaryngology - Head and Neck Surgery, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-2937-2767
Michael XieDepartment of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2M9, Canada, 1 4163403063.ORCID 0000-0002-0583-2848
Aishwaria MaxwellTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-3925-9867
Alex EsemezieDepartment of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2M9, Canada, 1 4163403063.ORCID 0000-0001-5572-0214
Quynh PhamToronto General Hospital, Center for Digital Therapeutics, University Health Network, Toronto, ON, Canada.ORCID 0000-0002-0540-4181
Joseph A CafazzoToronto General Hospital, Center for Digital Therapeutics, University Health Network, Toronto, ON, Canada.ORCID 0000-0002-3114-4440
Philip WongDepartment of Radiation Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.ORCID 0000-0001-8458-0716
C Jillian TsaiDepartment of Radiation Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada.ORCID 0009-0004-8051-0787
David P GoldsteinDepartment of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2M9, Canada, 1 4163403063.ORCID 0000-0001-9390-7928
John R de AlmeidaDepartment of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2M9, Canada, 1 4163403063.ORCID 0000-0002-1546-5033
Ervin SejdicEdward S. Rogers Department of Electrical and Computer Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-4987-8298
Christopher M K L YaoDepartment of Otolaryngology - Head and Neck Surgery, Princess Margaret Cancer Center, University Health Network, 610 University Avenue, Toronto, ON, M5G 2M9, Canada, 1 4163403063.ORCID 0000-0003-0346-716X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Head and neck cancer (HNC) survivors face profound functional and quality-of-life deficits due to disease- and treatment-related sequelae, ranging from mild fatigue to debilitating dysphagia. Wearable technology, by monitoring biometric data such as step counts or providing swallowing biofeedback, offers a unique method for tracking and monitoring the negative effects of HNC. Objective: The aim of this study was to explore the current applications of wearable technology in HNC. Methods: A scoping review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. A search strategy was built, and a literature search was performed across 5 databases. The initial search yielded 5256 studies, which underwent a 2-phase screening process: title and abstract review followed by full-text review. Inclusion criteria included peer-reviewed, English-language articles published between January 2002 and April 2024 that used wearable technology in HNC care. After full-text review, 9 studies met the inclusion criteria. Data were manually extracted and synthesized narratively. Results: The included studies examined 3 main types of wearable devices: radioactivity (2 studies), physical activity (4 studies), and throat physiology monitors (3 studies). Radioactivity monitors detected residual radioactivity and thyroidal radioiodine uptake. They demonstrated potential to reduce radioactivity exposure risk and personalize radiation doses for patients with thyroid cancer. Physical activity monitors tracked step counts, heart rate, and sleep habits. Low step counts were significantly associated with increased anxiety, radiation-related toxicity, hospital admission rates, and feeding tube placement. One study also linked poor sleep patterns to declines in quality of life. Throat physiology monitors measured pharyngeal electromyography data as well as extrinsic laryngeal muscle movements. Throat sensors achieved high accuracy in classifying swallowing events and translating muscle movements into speech. While earliest in the development continuum, they are promising tools for swallowing and vocal rehabilitation therapy. Barriers to wearable adoption included wearable discomfort, technical difficulties, and patient withdrawal due to treatment side effects. As the definition of wearable adherence varied widely, we propose that future studies report wearable adherence as "percentage of prescribed wear time achieved" to facilitate cross-study comparisons. Conclusions: Wearable technology may enhance treatment monitoring, prognostication, and rehabilitation in head and neck oncology. Radioactivity and physical activity monitors provide actionable insights for clinical decision-making, while throat physiology monitors offer innovative solutions for speech and swallowing therapy. However, challenges such as device adherence, data integration, and patient comfort must be addressed to realize their full potential. Future research should prioritize larger, longitudinal studies, standardized adherence metrics, and consider the integration of artificial intelligence to refine predictive capabilities. By overcoming these barriers, wearable technology could transform survivorship care, improving functional outcomes and quality of life for patients with HNC.

Indexed as

Head and Neck NeoplasmsWearable Electronic DevicesHumansQuality of Lifedigital healthhead and neck cancerotorhinolaryngologic diseasestherapeuticsvocal rehabilitationwearable technology

Identifiers

PMID41071984
PMCPMC12513687

What OpenQuestion holds

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LicenceCC BY
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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.