ReviewChronic respiratory disease
Modernisation of chronic respiratory disease management: The integration of wearable technology.
Review in Chronic respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Therapeutic potential and mechanisms of rehabilitation interventions in preventing cancer metastasis.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic respiratory diseases such as Chronic Obstructive Pulmonary Disease, Asthma, Interstitial Lung Disease, Cystic Fibrosis, and Pulmonary Hypertension affect over 500 million people globally and pose significant challenges for diagnosis, management, and long-term care. Traditional approaches often rely on episodic clinical assessments and patient-reported symptoms, which fail to capture the dynamic nature of respiratory health. The integration of wearable technology offers a transformative solution, enabling continuous, real-time monitoring of physiological and behavioural parameters. This review explores the evolving role of wearable devices, including activity trackers, smartwatches, spirometers, and biosensors, in modernising chronic respiratory disease management. Evidence across disease domains demonstrates that wearables can enhance physical activity, predict exacerbations, support remote rehabilitation, and facilitate personalised care. In Chronic obstructive pulmonary disease, step counters and biometric sensors have shown improvements in activity levels and early exacerbation detection. Asthma care benefits from AI-driven platforms that integrate environmental and physiological data to optimise treatment. For Interstitial lung disease and Cystic fibrosis, home spirometry and sweat biomarker monitoring empower patients and improve disease tracking. In Pulmonary hypertension, wearables provide insights into activity and sleep patterns, complementing traditional assessments. Despite promising outcomes, barriers remain. Technical limitations, data reliability, digital literacy, privacy concerns, and integration into clinical workflows hinder widespread adoption. Economic and equity considerations further challenge scalability, particularly in low-resource settings. Looking forward, the convergence of multimodal sensing, AI analytics, and digital therapeutics will enable proactive, personalised, and equitable respiratory care. Addressing validation, interoperability, and ethical governance will be critical to realising the full potential of wearable technology in CRD management.
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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.