Trial reportInternational journal of chronic obstructive pulmonary disease2019
Adherence to roflumilast under dose-escalation strategy in Korean patients with COPD.
Trial report in International journal of chronic obstructive pulmonary disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02018432 (Adherence to Therapy in COPD Patients Under Dose Escalation of Roflumilast), which is not on this map. Cited by 4 papers, 2 of them syntheses 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.
Adherence to Therapy in COPD Patients Under Dose Escalation of Roflumilast
Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.
- The Dosing Strategy to Improve Adherence to Roflumilast in Treatment for Chronic Obstructive Lung Disease: A Systemic Review and Meta-Analysis.International journal of chronic obstructive pulmonary disease · 2024Pooled it
- Interventions to improve adherence to pharmacological therapy for chronic obstructive pulmonary disease (COPD).The Cochrane database of systematic reviews · 2021Pooled it
- Phosphodiesterase-4 Inhibitors in Chronic Obstructive Pulmonary Disease: Molecular Mechanisms, Current Therapeutics, and Future Perspectives.Cell biochemistry and biophysics · 2026Review
- Real-world safety profile of roflumilast: a pharmacovigilance analysis using FDA adverse event reporting system and Canada vigilance database.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2025Article
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
No grant is acknowledged in the PubMed record.
Abstract
Background: Frequent development of adverse events and consequent low adherence are major barriers in the wide use of roflumilast. Asian patients may be more susceptible to adverse events due to low BMI. In this study, we aimed to determine if a dose-escalation strategy is useful to improve the drug adherence rate. Methods: This was a randomized, prospective, open-label, single-blind study to compare the adherence rate to roflumilast according to a dose-escalation or conventional dose strategy in patients with COPD in South Korea. Patients were randomized into two groups (1:1), either roflumilast 500 μg once daily for 12 weeks or roflumilast 250 μg once daily for 4 weeks, and then 500 μg for 12 weeks. The primary outcome was the percentage of patients prematurely discontinuing roflumilast due to adverse events. Results: A total of 55 patients were randomly assigned to either a conventional-dose group (n=28) or a dose-escalation group (n=27). Discontinuation rates of roflumilast due to adverse events were 46.4% for the conventional-dose group and 59.3% for the dose-escalation group. The median time to discontinuation was not different between groups (58 days for the conventional-dose group, 56 days for the dose-escalation group, Conclusion: High discontinuation rates of roflumilast were observed in both groups regardless of the dose-escalation strategy. The frequent discontinuation suggests that the dose-escalation strategy may not be useful in Asian patients. Clinical trial: This study is registered at www.ClinicalTrials.gov with identifier number NCT02018432.
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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.