ReviewChinese medical journal2020
A demonstration project of Global Alliance against Chronic Respiratory Diseases: Prediction of interactions between air pollution and allergen exposure-the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach.
Review in Chinese medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 33 citations in OpenAlex.
- ARIA-EAACI 2025: Person-Centred, Digitally Enabled and Artificial Intelligence-Assisted Change Management in Airway Diseases: An OECD Best Practice for Integrated Care for Chronic Diseases.Clinical and translational allergy · 2026Article
- Article
- Concurrent validity, cut-offs and ability to change of patient-reported outcome measures for rhinitis and asthma in MASK-airClinical and translational allergy · 2024Article
- Climate change, airborne allergens, and three translational mitigation approaches.EBioMedicine · 2023Review
- Digitally-enabled, patient-centred care in rhinitis and asthma multimorbidity: The ARIA-MASK-airClinical and translational allergy · 2023Article
- Real-life evidence in allergen immunotherapy: Moving forward with mHealth apps.Allergologie select · 2023Review
- Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities.Clinical and translational allergy · 2022Article
- Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross-sectional study.Health science reports · 2022Article
- Digital tools in allergy and respiratory care.The World Allergy Organization journal · 2022Review
- mHealth and telemedicine utility in the monitoring of allergic diseases.Frontiers in allergy · 2022Review
- Allergen Management in Children with Type 2-High Asthma.Journal of asthma and allergy · 2022Review
- Digital Health Europe (DHE) Twinning on severe asthma-kick-off meeting report.Journal of thoracic disease · 2021Article
- Treatment of allergic rhinitis during and outside the pollen season using mobile technology. A MASK study.Clinical and translational allergy · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review analyzes the state and recent progress in the field of information support for pollen allergy sufferers. For decades, information available for the patients and allergologists consisted of pollen counts, which are vital but insufficient. New technology paves the way to substantial increase in amount and diversity of the data. This paper reviews old and newly suggested methods to predict pollen and air pollutant concentrations in the air and proposes an allergy risk concept, which combines the pollen and pollution information and transforms it into a qualitative risk index. This new index is available in an app (Mobile Airways Sentinel NetworK-air) that was developed in the frame of the European Union grant Impact of Air POLLution on sleep, Asthma and Rhinitis (a project of European Institute of Innovation and Technology-Health). On-going transformation of the pollen allergy information support is based on new technological solutions for pollen and air quality monitoring and predictions. The new information-technology and artificial-intelligence-based solutions help to convert this information into easy-to-use services for both medical practitioners and allergy sufferers.
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.