ArticlePhysiological reports2021
Application of oxygen saturation variability analysis for the detection of exacerbation in individuals with COPD: A proof-of-concept study.
Article in Physiological reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Physiological signal entropy in patients with chronic respiratory disease: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease.Scientific reports · 2023Trial
- Multiscale Entropy Reveals Reduced Airflow Complexity in Chronic Obstructive Pulmonary Disease: Associations with Spirometry and Diagnostic Utility.Annals of biomedical engineering · 2026Article
- Decrypting network physiology for clinical practice.Frontiers in network physiology · 2026Review
- Heart rate, respiratory rate and airflow variability differences between stable and exacerbating COPD patients.ERJ open research · 2025Article
- Sample entropy of oxygen saturation in preterm infants.Scientific reports · 2025Article
- Hospital Is Not the Home: Lessons From Implementing Remote Technology to Support Acute Inpatient and Transitional Care in the Home in the United States and United Kingdom.Journal of medical Internet research · 2024Article
- Physiological network approach to prognosis in cirrhosis: A shifting paradigm.Physiological reports · 2024Review
- Wearable technology interventions in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.NPJ digital medicine · 2023Article
- Studying Dynamical Characteristics of Oxygen Saturation Variability Signals Using Haar Wavelet.Healthcare (Basel, Switzerland) · 2023Article
- Reduced oxygen saturation entropy is associated with poor prognosis in critically ill patients with sepsis.Physiological reports · 2022Article
- Application of oxygen saturation variability analysis for the detection of exacerbation in individuals with COPD: A proof-of-concept study.Physiological reports · 2021Article
- Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research.Therapeutic advances in respiratory diseaseReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividuals with chronic obstructive pulmonary disease (COPD) commonly experience exacerbations, which may require hospital admission. Early detection of exacerbations, and therefore early treatment, could be crucial in preventing admission and improving outcomes. Our previous research has demonstrated that the pattern analysis of peripheral oxygen saturation (S
methodsOvernight pulse oximetry data from 11 individuals with COPD, who exhibited exacerbation after a period of stable disease, were examined. Stable phase recordings were conducted overnight and one night prior to exacerbation recordings were also analyzed. Pattern analysis of S
resultsS
conclusionAlterations in S
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.