ReviewSensors (Basel, Switzerland)2021
Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis 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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.
- Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Management of Rheumatoid Arthritis With a Digital Health Application: A Multicenter, Pragmatic Randomized Clinical Trial.JAMA network open · 2023Trial
- An Engineered Glove for the Objective Assessment of Hand Dexterity in Patients With Systemic Sclerosis.ACR open rheumatology · 2026Article
- Development and Evaluation of a Data Glove-Based System for Assisting Puzzle Solving.Sensors (Basel, Switzerland) · 2026Article
- Soft Nanomembrane Sensor-Enabled Wearable Multimodal Sensing and Feedback System for Upper-Limb Sensory Impairment Assistance.ACS nano · 2025Article
- Impact of musculoskeletal disability limitations on the economic unmet dental needs in South Korea.BMC oral health · 2024Article
- Design of a Self-Measuring Device Based on Bioelectrical Impedance Analysis for Regular Monitoring of Rheumatoid Arthritis.Sensors (Basel, Switzerland) · 2024Article
- An engineered glove to follow finger function in rheumatoid arthritis: an observational prospective study.Rheumatology international · 2024Observational
- An engineered glove to follow finger function in rheumatoid arthritis: an observational prospective study.Rheumatology international · 2024Observational
- Overcoming Challenges and Innovations in Orthopedic Prosthesis Design: An Interdisciplinary Perspective.Biomedical materials & devices (New York, N.Y.) · 2023Review
- Bridging the Finger-Action Gap between Hand Patients and Healthy People in Daily Life with a Biomimetic System.Biomimetics (Basel, Switzerland) · 2023Article
- Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- State-of-the-Art Sensors Research in Ireland.Sensors (Basel, Switzerland) · 2022Article
- Preventing stillbirth from obstructed labor: A sensorized, low-cost device to train in safer operative birth.Frontiers in global women's health · 2022Article
- Text Score Analysis under the IPE Environment Based on Improved Transformer.Journal of environmental and public health · 2022Article
- A broad look into the future of rheumatoid arthritis.Therapeutic advances in musculoskeletal disease · 2022Review
- Review of Wearable Devices and Data Collection Considerations for Connected Health.Sensors (Basel, Switzerland) · 2021Review
- Reliability and Validity of Clinically Accessible Smart Glove Technologies to Measure Joint Range of Motion.Sensors (Basel, Switzerland) · 2021Article
- Digital Approaches for a Reliable Early Diagnosis of Psoriatic Arthritis.Frontiers in medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early detection of Rheumatoid Arthritis (RA) and other neurological conditions is vital for effective treatment. Existing methods of detecting RA rely on observation, questionnaires, and physical measurement, each with their own weaknesses. Pharmaceutical medications and procedures aim to reduce the debilitating effect, preventing the progression of the illness and bringing the condition into remission. There is still a great deal of ambiguity around patient diagnosis, as the difficulty of measurement has reduced the importance that joint stiffness plays as an RA identifier. The research areas of medical rehabilitation and clinical assessment indicate high impact applications for wearable sensing devices. As a result, the overall aim of this research is to review current sensor technologies that could be used to measure an individual's RA severity. Other research teams within RA have previously developed objective measuring devices to assess the physical symptoms of hand steadiness through to joint stiffness. Unfamiliar physical effects of these sensory devices restricted their introduction into clinical practice. This paper provides an updated review among the sensor and glove types proposed in the literature to assist with the diagnosis and rehabilitation activities of RA. Consequently, the main goal of this paper is to review contact systems and to outline their potentialities and limitations. Considerable attention has been paid to gloved based devices as they have been extensively researched for medical practice in recent years. Such technologies are reviewed to determine whether they are suitable measuring tools.
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.