Evidence map›Paper›PMID 41127395›Full record

ArticleFrontiers in medicine2025

Changes in lung function and exercise capacity are strong predictors of mortality in patients with IPF receiving antifibrotic therapy.

Ju Hyun Oh, Moo Suk Park, Man Pyo Chung, Sung Hwan Jeong, Jin Woo Song, Sun Mi Choi, Yong Hyun Kim, Sung Woo Park, Yangin Jegal, Hee-Young Yoon and 9 more

Abstract read
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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Ju Hyun OhDepartment of Pulmonary and Critical Care Medicine, Ajou University Medical Center, Ajou University School of Medicine, Suwon, Republic of Korea.
Moo Suk ParkDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Man Pyo ChungDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sung Hwan JeongDepartment of Allergy, Pulmonology and Critical Care Medicine, Gil Medical Center, Gachon University, Incheon, Republic of Korea.
Jin Woo SongDivision of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sun Mi ChoiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Yong Hyun KimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Bucheon St. Mary's Hospital, Catholic University of Korea School of Medicine, Bucheon-si, Republic of Korea.
Sung Woo ParkDivision of Allergy and Respiratory Medicine, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon-si, Republic of Korea.
Yangin JegalDivision of Pulmonary Medicine, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Hee-Young YoonDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea.
Won-Il ChoiDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Myongji Hospital, Goyang, Republic of Korea.
Jung-Wan YooDepartment of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju, Republic of Korea.
Hyun-Kyung LeeDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea.
Sei-Hoon YangDivision of Pulmonary, Department of Internal Medicine, College of Medicine, Wonkwang University, Iksan, Republic of Korea.
Eun-Joo LeeDivision of Respiratory and Critical Care Medicine, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Hye Sook ChoiDepartment of Pulmonary and Critical Care Medicine, Kyung Hee University Medical Center, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Hyung Koo KangDivision of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
Jong Sun ParkDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
Jae Ha LeeDivision of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a chronic fibrosing interstitial pneumonia with poor prognosis. This study evaluated whether monitoring changes in lung function and exercise capacity during antifibrotic therapy offers superior prognostic value compared with baseline clinical parameters in IPF. Methods: We retrospectively analyzed patients with IPF enrolled with the Korean IPF cohort registry between June 2016 and August 2021. Prognostic factors for mortality were assessed using Cox proportional hazards models and receiver operating characteristic (ROC) curve analysis. Results: Among 1,229 patients (mean age 68.3 years; 82.8% male), 88.0% received antifibrotic therapy. During a median follow-up of 41.0 months, 37.9% of the treated patients died. Multivariable Cox analysis revealed that a decline in forced vital capacity (FVC) at 12 months, lower baseline diffusing capacity of the lungs for carbon monoxide (DLco), a decline in DLco at 12 months, and a reduction in the 6-min walk distance at 6 months, were independent risk factors for mortality in IPF patients receiving antifibrotic therapy. In the ROC curve analysis, the change in FVC at 12 months showed the highest predictive accuracy for mortality (area under the curve = 0.676; Conclusion: Longitudinal changes in lung function and exercise capacity as indicators of response to antifibrotic therapy may serve as potential surrogate markers of mortality in patients with IPF.

Indexed as

fibrosisinterstitial lung diseaselung functionmortalityprognosis

Identifiers

PMID41127395
PMCPMC12537395

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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.