ReviewDigital biomarkers
Wearable Devices: Current Status and Opportunities in Pain Assessment and Management.
Review in Digital biomarkers. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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
40 citing papers in PubMed.
- Impact of the Osijek Multidisciplinary Biopsychosocial Program on Chronic Low Back Pain: A Prospective Randomized Controlled Study.International journal of environmental research and public health · 2026Trial
- Factors Influencing the Use of Mobile Apps and Wearables: Pre- and Post-Surgery Quality of Life Assessment Study.JMIR formative research · 2026Article
- Towards Intelligent Pain Monitoring Systems: A Survey of Recent Technologies and Methods.Sensors (Basel, Switzerland) · 2026Review
- Evaluating a Wearable-Based Pain Monitoring System in Palliative Cancer Care: Usability and Feasibility Study.JMIR formative research · 2026Observational
- Pain assessment and determination methods with wearable sensors: a scoping review.Medical & biological engineering & computing · 2026Review
- Decoding chronic pain: integrating genetics, neuroimaging, and AI for precision management.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
- Personalized Multimodal and Opioid-Sparing Analgesia for Postoperative Pain Management: Enhancing Recovery and Addressing the Post-Discharge Gap.Journal of pain research · 2026Review
- Introducing biofeedback-integrated laser therapy: a novel approach for enhancing scar treatment.Lasers in medical science · 2025Article
- General Innovations in Pain Management.Journal of clinical medicine · 2025Review
- Classifying social and physical pain from multimodal physiological signals using machine learning.Scientific reports · 2025Article
- Insights into endometriosis symptom trajectories and assessment of surgical intervention outcomes using longitudinal actigraphy.NPJ digital medicine · 2025Article
- A Co-Segmentation Algorithm to Predict Emotional Stress From Passively Sensed mHealth Data.Statistics in medicine · 2025Article
- Can Wearable Device Promote Physical Activity and Reduce Pain in People with Chronic Musculoskeletal Conditions?Journal of clinical medicine · 2025Review
- Observational
- Decoding pain chronification: mechanisms of the acute-to-chronic transition.Frontiers in molecular neuroscience · 2025Review
- Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables.Sensors (Basel, Switzerland) · 2024Article
- An Experimental and Clinical Physiological Signal Dataset for Automated Pain Recognition.Scientific data · 2024Article
- Identification of Pain through Actigraphy-Recorded Patient Movement: A Comprehensive Review.Bioengineering (Basel, Switzerland) · 2024Review
- Digital tools for assessing chronic pain in children (5-11 years): Systematic review.Paediatric & neonatal pain · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
introductionWe investigated the possibilities and opportunities for using wearable devices that measure physical activity and physiometric signals in conjunction with ecological momentary assessment (EMA) data to improve the assessment and treatment of pain.
methodsWe considered studies with cross-sectional and longitudinal designs as well as interventional or observational studies correlating pain scores with measures derived from wearable devices. A search was also performed on studies that investigated physical activity and physiometric signals among patients with pain.
resultsFew studies have assessed the possibility of incorporating wearable devices as objective tools for contextualizing pain and physical function in free-living environments. Of the studies that have been conducted, most focus solely on physical activity and functional outcomes as measured by a wearable accelerometer. Several studies report promising correlations between pain scores and signals derived from wearable devices, objectively measured physical activity, and physical function. In addition, there is a known association between physiologic signals that can be measured by wearable devices and pain, though studies using wearable devices to measure these signals and associate them with pain in free-living environments are limited.
conclusionThere exists a great opportunity to study the complex interplay between physiometric signals, physical function, and pain in a real-time fashion in free-living environments. The literature supports the hypothesis that wearable devices can be used to develop reproducible biosignals that correlate with pain. The combination of wearable devices and EMA will likely lead to the development of clinically meaningful endpoints that will transform how we understand and treat pain patients.
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What Socratic 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 Socratic graph.