Evidence map›Paper›PMID 38505074›Full record

ArticleJournal of thoracic disease2024

Differential response to roflumilast in patients with chronic obstructive pulmonary disease: real-world evidence.

Hyun Woo Lee, Jiyu Sun, Hyo-Jin Lee, Jung-Kyu Lee, Tae Yeon Park, Eun Young Heo, Chin Kook Rhee, Deog Kyeom Kim

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Hyun Woo Lee *Division of Pulmonary and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
Jiyu Sun *Integrated Biostatistics Branch, Division of Cancer Data Science, National Cancer Center, Goyang-si, South Korea.
Hyo-Jin LeeDivision of Pulmonary and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
Jung-Kyu LeeDivision of Pulmonary and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
Tae Yeon ParkDivision of Pulmonary and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
Eun Young HeoDivision of Pulmonary and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
Chin Kook RheeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
Deog Kyeom KimDivision of Pulmonary and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
SNUH SMG-SNU Boramae Medical Center · KRSeoul Metropolitan Government · KRCatholic University of Korea · KRNational Cancer Center · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Roflumilast is effective in reducing acute exacerbation in patients with chronic obstructive pulmonary disease (COPD) at high risk of severe exacerbation. Clinical traits related to the benefits of roflumilast need to be evaluated in patients with COPD. Methods: A longitudinal observational study in patients newly diagnosed with COPD was conducted using claims data from the Health Insurance Review and Assessment Service in South Korea from 2012-2020 after a 2-year washout period. The primary outcome was to estimate the ratio of hazard ratio (RHR) of roflumilast for moderate-to-severe exacerbation in prespecified subgroups. A time-dependent Cox regression model was used to estimate the hazard ratio (HR) for moderate-to-severe exacerbations. Results: Among 823,862 patients with COPD, 0.6% used roflumilast. The adjusted HR of roflumilast for moderate-to-severe exacerbations was reduced when treated for ≥3 months (RHR =0.558). Interaction effects of the variables on the HR of roflumilast for moderate-to-severe exacerbation were identified. The adjusted HR of roflumilast for moderate-to-severe exacerbation was significantly reduced in several subgroups: older age (65 years > age ≥50 years, RHR =0.838; age ≥65 years, RHR =0.818), a higher Charlson comorbidity index (1, RHR =0.832; 2, RHR =0.798; ≥3, RHR =0.790), history of exacerbation (RHR =0.886), bronchiectasis (RHR =0.774), chronic bronchitis (RHR =0.793), inhaled therapy [mono-bronchodilator, RHR =0.824; inhaled corticosteroid (ICS)/long-acting beta-agonist (LABA), RHR =0.591; LABA/long-acting muscarinic antagonist (LAMA), RHR =0.822; ICS/LABA/LAMA, RHR =0.570], methylxanthine (RHR =0.853), and statin (RHR =0.888). Conclusions: The benefit of roflumilast in moderate-to-severe exacerbations was estimated to be greater in specific subgroups of patients with COPD. Personalised approaches to roflumilast based on clinical phenotypes would be effective for COPD.

Indexed as

Chronic obstructive pulmonary disease (COPD)cohort studyexacerbationpopulation groupsroflumilast

Identifiers

PMID38505074
PMCPMC10944795
OpenAlexW4392244641

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.