Evidence map›Paper›PMID 41494677›Full record

ArticleKorean journal of radiology2026

Prognostic Impact of Radiologic and Pathologic Features on the Development of Progressive Pulmonary Fibrosis in Patients With Interstitial Lung Disease Other Than Idiopathic Pulmonary Fibrosis.

Hyeong Ryun Cho, Myoung Ja Chung, Hyemi Choi, Jinheum Kim, Ae Ri An, Su Yeon Ahn, Jin Young Yoo, Gong Yong Jin, David A Lynch, Kum Ju Chae

Abstract read
In one paragraph

Article in Korean journal of radiology, 2026. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Hyeong Ryun Cho *Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.ORCID https://orcid.org/0009-0008-1227-6270
Myoung Ja Chung *Department of Pathology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.ORCID https://orcid.org/0000-0003-4165-7167
Hyemi ChoiDepartment of Statistics and Institute of Applied Statistics, Jeonbuk National University, Jeonju, Republic of Korea.ORCID https://orcid.org/0000-0002-8806-5911
Jinheum KimDepartment of Applied Statistics, University of Suwon, Hwaseong, Republic of Korea.ORCID https://orcid.org/0000-0003-3408-900X
Ae Ri AnDepartment of Pathology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.ORCID https://orcid.org/0000-0002-6047-1627
Su Yeon AhnDepartment of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-3370-0498
Jin Young YooDepartment of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-0007-1960
Gong Yong JinDepartment of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.ORCID https://orcid.org/0000-0002-1426-554X
David A LynchDepartment of Radiology, National Jewish Health, Denver, CO, USA.ORCID https://orcid.org/0000-0002-6329-2325
Kum Ju ChaeDepartment of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea. para2727@gmail.com.ORCID https://orcid.org/0000-0003-3012-3530

Funding

Jeonbuk National UniversityNational Research Foundation of Korea NRF-2021R1C1C1009818National Research Foundation of Korea RS-2024-00407902
6 · The paper itself

Abstract

objectiveTo evaluate the prognostic impact of radiologic and pathologic features in patients with interstitial lung disease (ILD) other than idiopathic pulmonary fibrosis (IPF), and to identify the factors associated with the development of progressive pulmonary fibrosis (PPF) and survival. MATERIALS AND

methodsThis study retrospectively enrolled 75 patients diagnosed with ILD other than IPF who underwent surgical lung biopsy between January 2004 and December 2020. Three chest radiologists independently reviewed the CT features and extent of fibrosis on preoperative and follow-up CT scans. Two pathologists reviewed the histopathological features, including the presence of interstitial pneumonia. The time to PPF and overall survival were estimated using the Kaplan-Meier method. The associations of CT and pathological features with PPF and all-cause mortality were examined using standard Cox regression and time-dependent Cox models, respectively.

resultsA total of 75 non-IPF ILD patients (mean age ± standard deviations 56.4 ± 13.2 years; range, 40-88 years) were enrolled. The median follow-up duration was 75.3 months (range, 7.8-189.8 months). Traction bronchiectasis on CT (adjusted hazard ratio [HR], 6.40;

conclusionTraction bronchiectasis on CT was a significant predictor of PPF, while radiologic and symptomatic progression and older age were associated with poorer survival in patients with ILD other than IPF. These findings indicate that careful radiological evaluation and symptom monitoring may help to predict disease progression and outcomes in patients with non-IPF ILD.

Indexed as

Lung Diseases, InterstitialPulmonary FibrosisTomography, X-Ray ComputedAdultAgedAged, 80 and overBiopsyDisease ProgressionFemaleHumansIdiopathic Pulmonary FibrosisLungMaleMiddle AgedPrognosisRetrospective StudiesDisease progressionInterstitial lung diseaseProgressive pulmonary fibrosisSurvivalTraction bronchiectasis

Identifiers

PMID41494677
PMCPMC12780374

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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.