Association between inhaled corticosteroids and incidence of idiopathic pulmonary fibrosis: nationwide population-based study

While no overall significant association between ICS use and IPF risk was observed post-IPTW, there may be an increased risk in patients using high-dose ICS.

Authors

Institutions

Publication Details

Journal
BMJ Open Respiratory Research
Published
2025-05-01
DOI
https://doi.org/10.1136/bmjresp-2024-002566
Citations
1
Primary Topic
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Type
article
Field-Weighted Citation Impact
1.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between inhaled corticosteroids and incidence of idiopathic pulmonary fibrosis: nationwide population-based study

Hee‐Young Yoon, Hyewon Lee
1 citations
BMJ Open Respiratory Research
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
article

Association between inhaled corticosteroids and incidence of idiopathic pulmonary fibrosis: nationwide population-based study

Hee‐Young Yoon, Hyewon Lee
article en
1 citations

Abstract

While no overall significant association between ICS use and IPF risk was observed post-IPTW, there may be an increased risk in patients using high-dose ICS.

BMJ Open Respiratory ResearchVol. 12(1)
Soonchunhyang University (KR), Soonchunhyang University Hospital Seoul (KR)
National Research Foundation, Soonchunhyang University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 18%
Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.