ReviewJournal of clinical medicine2025
The Potential Role of Nasal Cytology in Respiratory Diseases: Clinical Research and Future Perspectives.
Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Toward a Cytological Classification of Nasal Biofilms in Upper Airway Inflammation: Microscopic Patterns, Clinical Meaning, and Therapeutic Implications.Biomedicines · 2026Article
- Disease-stage-specific immunometabolic remodeling in pediatric obstructive sleep apnea: a single-cell transcriptomic atlas of adenoid tissue.EMBO molecular medicine · 2026Article
- Nasal Cytology as a Local Biomarker of Airway Inflammation: A Paradigm Shift in Precision Medicine.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026Article
- A Multi-Compartment Cytological Approach to Severe Asthma Phenotyping: The BRISA Study (Biomedical Research in Severe Asthma).Journal of asthma and allergy · 2026Article
- Chronic rhinosinusitis with and without nasal polyps: the state-of-the-art of current treatment strategies and future developments.Frontiers in allergy · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nasal cytology is a non-invasive, affordable, and easily executable technique commonly used in research to study rhinitis and, to a lesser extent, chronic rhinosinusitis. It is particularly useful for the differential diagnosis of non-allergic rhinitis and for phenotyping chronic rhinosinusitis. Allergic rhinitis, asthma, and aspirin intolerance are frequent comorbidities of chronic rhinosinusitis. A diagnostic system has been proposed to assess the severity of chronic rhinosinusitis (clinical-cytological grading), incorporating nasal cytology and comorbidity observation. This score correlates with the recurrence risk of chronic rhinosinusitis with nasal polyposis. Specifically, a higher grade is often linked to asthma, aspirin intolerance, a recurrent disease requiring surgery, and a mixed cell phenotype (eosinophilic and mast cell). Although nasal cytology has been shown to be able to replace bronchial analysis with acceptable precision due to its technical characteristics, its use in diseases affecting both upper and lower airways remains limited. The main limitation of this technique is its lack of standardization, which currently hinders its widespread clinical adoption despite its increasing familiarity among allergists and otolaryngologists. In the context of the unitary airways hypothesis, nasal cytology could also provide valuable insights for managing lower airway diseases like chronic obstructive pulmonary disease and obstructive sleep apnea syndrome, which significantly impact quality of life and healthcare costs. This review aims to provide an overview of nasal cytology, highlighting its limitations and potential applications in chronic respiratory diseases.
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.