Observational studyBMC pulmonary medicine2019
Employment of an algorithm of care including chest physiotherapy results in reduced hospitalizations and stability of lung function in bronchiectasis.
Observational study in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 11 citations in OpenAlex.
- High frequency chest wall oscillation for airway clearance in bronchiectasis.Frontiers in rehabilitation sciences · 2026Review
- Management of Primary Ciliary Dyskinesia in a Kartagener's Syndrome Patient With Total Situs Inversus.Respirology case reports · 2025Article
- Effects of High Frequency Chest Wall Oscillation (HFCWO) on Clinical Symptoms in Chronic Obstructive Lung Disease.Medical research archives · 2024Article
- Article
- Pilot Evaluation of a Management Toolkit for Airway Clearance Therapy in Bronchiectasis (IMPACT BE).ATS scholar · 2023Article
- Safety of mechanical lung vibrator and high-frequency chest wall oscillation in patients with cardiac implantable electronic device.Clinical cardiology · 2021Article
- Real-life experience with high-frequency chest wall oscillation vest therapy in adults with non-cystic fibrosis bronchiectasis.Therapeutic advances in respiratory diseaseArticle
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 2 institutions in 1 country.
Funding
Abstract
backgroundThere is a paucity of data on long term clinical effects of high frequency chest wall oscillation (HFCWO) in the Bronchiectasis population. Other therapies such as nebulized mucolytics and long term antibiotics have proven benefit on quality of life and exacerbation rate. In this study a treatment algorithm that included HFCWO as a component was initiated to see what the long term effects of the proposed algorithm were on lung function, antibiotic use, and exacerbation rates.
methodsThis was an observational comparative retrospective cohort study from database of patients with Bronchiectasis. Patients with > 2 exacerbations and significant symptom burden were enrolled to receive a treatment algorithm. The algorithm included: nebulized bronchodilators, mucolytics (hypertonic saline (3-7%) or n-acetylcysteine) inhaled daily or twice daily, thrice weekly macrolide therapy when appropriate, and high frequency chest wall oscillation (HFCWO) therapy (daily to twice daily per issued protocol) Outcomes from the cohort were analyzed for the subsequent twelve months after initiation to observe longitudinal lung function and clinical outcomes. Chart review was then done to obtain data the year prior to the start of the algorithm in this same cohort of patients.
resultsSixty-five patients received the Smart Vest® HFCWO system and were enrolled into the algorithm for treatment during the study period. Of the sixty-five patients, forty-three were eligible due to adequate 1-year baseline and follow up data at the time of the study initiation. The mean FEV
conclusionStandardized care for Bronchiectasis involving an algorithm for Mucociliary clearance that centers on initiation of HFCWO may help to reduce lung function decline, need for oral antibiotics, and reduced hospitalization rate.
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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.