ReviewDrugs & aging2019
Optimizing Drug Therapies in Patients with COPD in the US Nursing Home Setting.
Review in Drugs & aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 8 citations in OpenAlex.
- Impact of baseline clinical features on outcomes of nebulized glycopyrrolate therapy in COPD.NPJ primary care respiratory medicine · 2021Review
- Effect of standardized enteral nutrition on AECOPD patients with respiratory failure.American journal of translational research · 2021Article
- Groping around in the dark for adequate COPD management: a qualitative study on experiences in long-term care.BMC health services research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic obstructive pulmonary disease (COPD) can be a disabling disease, and the impact on older adults is particularly evident in the nursing home setting. Chronic obstructive pulmonary disease is present in about 20% of nursing home residents, most often in women, and accounts for significant healthcare utilization including acute care visits for exacerbations and pneumonia, as well as worsening heart disease and diabetes mellitus. The emphasis on hospital readmissions is particularly important in nursing homes where institutions have quality measures that have financial implications. Optimizing drug therapies in individuals with COPD involves choosing medications that not only improve symptoms, but also decrease the risk of exacerbations. Optimizing the treatment of comorbidities such as heart disease, infections, and diabetes that may affect COPD outcomes is also an important consideration. Depending on the nursing home setting and the patient, the options for optimizing COPD drug therapies may be limited owing to patient-related factors such as cognition and physical impairment or available resources, primarily reimbursement-related issues. Choosing the best drug therapy for COPD in older adults is limited by the difficulty in assessing respiratory symptoms using standardized assessment tools and potentially decreased inspiratory ability of frail individuals. Because of cognitive and physical impediments, ensuring optimal delivery of inhaled medications into the lungs has significant challenges. Long-acting bronchodilators, inhaled corticosteroids, and roflumilast decrease the risk of exacerbations, although inhaled corticosteroids should be used judiciously in this population because of the risk of pneumonia and oropharyngeal side effects. Treatment of COPD exacerbations should occur early and consideration should be made to the benefits and risks of systemic corticosteroids and antibiotics. Clinical research in the COPD population in nursing homes is clearly lacking, and ripe for discovery of effective management strategies.
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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.