ReviewJournal of clinical medicine2025
Early Identification of Exacerbations in Patients with Chronic Obstructive Pulmonary Disease (COPD).
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 10 papers.
What it found
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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
10 citing papers in PubMed.
- COPD Assessment Test Variability as a Predictor of Exacerbations in Patients with COPD: A Prospective Study Using Virtual Assistant Monitoring.Advances in respiratory medicine · 2026Observational
- An Evidence-Informed Clinical Pathway for COPD Exacerbations in Emergency Departments: Diagnostic Assessment, Severity Stratification, and Individualized Management.Journal of clinical medicine · 2026Article
- Timely management of COPD exacerbations is associated with limited acute deterioration and early recovery: a prospective observational study.Respiratory research · 2026Observational
- Phosphodiesterase-4 Inhibitors in Chronic Obstructive Pulmonary Disease: Molecular Mechanisms, Current Therapeutics, and Future Perspectives.Cell biochemistry and biophysics · 2026Review
- Article
- Environmentally sustainable UV spectrophotometric-chemometric approach for simultaneous determination of budesonide, glycopyrrolate, and formoterol.BMC chemistry · 2026Article
- Validation and Clinical Analysis of the Quantitative COPD Exacerbation Recognition Tool (Q-CERT): Diagnostic Performance and Association with Lung Function Impairment.International journal of chronic obstructive pulmonary disease · 2026Article
- Pulmonary arterial morphological markers on non-contrast CT predicted acute exacerbations and disease progression in chronic obstructive pulmonary disease: a longitudinal cohort study.Japanese journal of radiology · 2025Article
- Risk Factors and Outcomes in Patients With Acute Exacerbation of Chronic Obstructive Pulmonary Disease.Cureus · 2025Article
- Research progress on the effect of neutrophil elastase and its inhibitors in respiratory diseases.The Journal of international medical research · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exacerbations of Chronic Obstructive Pulmonary Disease (COPD) have a substantial effect on overall disease management, health system costs, and patient outcomes. However, exacerbations are often underdiagnosed or recognized with great delay due to several factors such as patients' inability to differentiate between acute episodes and symptom fluctuations, delays in seeking medical assistance, and disparities in dyspnea perception. Self-management intervention plans, telehealth and smartphone-based programs provide educational material, counseling, virtual hospitals and telerehabilitation, and help COPD patients to identify exacerbations early. Moreover, biomarkers such as blood eosinophil count, fibrinogen, CRP, Serum amyloid A(SAA),together with imaging parameters such as the pulmonary artery-to-aorta diameter ratio, have emerged as potential predictors of exacerbations, yet their clinical utility is limited by variability and lack of specificity. In this review, we provide information regarding the importance of the early identification of exacerbation events in COPD patients and the available methods which can be used for this purpose.
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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.