Evidence map›Paper›PMID 41794119›Full record

ArticleChest2026

Demographic and Physiological Differences Between Fibrotic and Nonfibrotic CT Subtypes of Sarcoidosis.

Ruchi Yadav, Wren L Lippitt, Kum Ju Chae, Jared Rieck, Nichole E Carlson, Shu-Yi Liao, Margaret M Mroz, Briana Barkes, Stephen M Humphries, Andrea Oh and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Chest, 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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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

Ruchi YadavDiagnostic Institute, Department of Radiology, Cleveland Clinic, Cleveland, OH.
Wren L LippittDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO.
Kum Ju ChaeDepartment of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Jeonbuk, South Korea.
Jared RieckDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO.
Nichole E CarlsonDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO.
Shu-Yi LiaoDepartment of Medicine, National Jewish Health, Denver, CO; Department of Medicine, University of Colorado, Aurora, CO; Department of Environmental and Occupational Health, University of Colorado, Aurora, CO.
Margaret M MrozDepartment of Medicine, National Jewish Health, Denver, CO.
Briana BarkesDepartment of Medicine, National Jewish Health, Denver, CO.
Stephen M HumphriesDepartment of Radiology, National Jewish Health, Denver, CO.
Andrea OhDepartment of Radiology, UCLA, Los Angeles, CA.
Hye Jeon HwangDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Katherine ParkerDepartment of Radiology, National Jewish Health, Denver, CO.
Andrea I FuentealbaDepartment of Radiology, University of Colorado School of Medicine, Aurora, CO.
Thomas McLarenDepartment of Radiology, National Jewish Health, Denver, CO.
Cristina MarrocchioUnit of Radiological Sciences, University of Parma, Parma, Italy.
Tasha E FingerlinDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO; Department of Immunology and Genomic Medicine, National Jewish Health, Denver, CO.
Daniel A CulverDepartment of Pulmonary and Critical Care Medicine, Cleveland Clinic, Cleveland, OH.
David A LynchDepartment of Radiology, National Jewish Health, Denver, CO.
Lisa A MaierDepartment of Medicine, National Jewish Health, Denver, CO; Department of Medicine, University of Colorado, Aurora, CO; Department of Environmental and Occupational Health, University of Colorado, Aurora, CO. Electronic address: Maierl@njhealth.org.

Funding

MULTIDISCIPLINARY RESPIRATORY DISEASES RESEARCH TRAININGT32HL007085 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ELLEN L BURNHAM, LISA A MAIER · 1985 to 2026
$21.6M
Sarcoidosis and A1AT Genomics & Informatics CenterU01HL112707 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECICH, MICHAEL JOHN, KAMINSKI, NAFTALI · 2012 to 2015
$8.5M
Genetic Risk for Granulomatous Interstitial Lung DiseaseR01HL114587 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI FINGERLIN, TASHA E. · 2013 to 2018
$3.2M
Novel integrative approaches for disease phenotyping, utilizing radiomics in SarcoidosisR01HL142049 · NHLBI · NATIONAL JEWISH HEALTH · PI CARLSON, NICHOLE, FINGERLIN, TASHA E. · 2019 to 2022
$2.6M
Significance Circulating Semaphorin 7a+ve Cells in Pulmonary SarcoidosisU01HL112702 · NHLBI · YALE UNIVERSITY · PI HERZOG, ERICA L · 2012 to 2014
$488k
GRADS Cooperative Research Project: JHU Clinical CenterU01HL112708 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MOLLER, DAVID R · 2012 to 2014
$481k
Genomic Phenotyping and Mechanisms in sarcoidosis and AATU01HL112696 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARCIA, JOE G. N., KOTH, LAURA L · 2012 to 2014
$470k
GRADS Clinical Center: Studies in Sarcoidosis and Microbiomics ResearchU01HL112712 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI COLLMAN, RONALD G, ROSSMAN, MILTON DAVID · 2012 to 2014
$469k
Immunologic and Molecular Phenotypes in AATD and SarcoidosisU01HL112695 · NHLBI · NATIONAL JEWISH HEALTH · PI MAIER, LISA A · 2012 to 2014
$465k
Investigation of microbial hetergeneity to sarcoidosis and AAT clinical outcomeU01HL112694 · NHLBI · VANDERBILT UNIVERSITY · PI DRAKE, WONDER P. · 2012 to 2014
$463k
Impact of CCR5 inhibition on Sarcoid ImmunophenotypesU01HL112711 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, STEVEN R, KASS, DANIEL J · 2012 to 2014
$444k
NHLBI NIH HHS R01 HL114587NHLBI NIH HHS R01 HL142049NHLBI NIH HHS T32 HL007085NHLBI NIH HHS U01 HL112694NHLBI NIH HHS U01 HL112695NHLBI NIH HHS U01 HL112696NHLBI NIH HHS U01 HL112702NHLBI NIH HHS U01 HL112707NHLBI NIH HHS U01 HL112708NHLBI NIH HHS U01 HL112711NHLBI NIH HHS U01 HL112712
6 · The paper itself

Abstract

backgroundOne approach to categorizing patients using chest CT imaging manifestations of pulmonary sarcoidosis is to use 3 classifications: fibrotic, nonfibrotic, or no parenchymal abnormality. This study aimed to evaluate the relationships between these imaging subtypes and demographic and physiological variables in a large group of patients with sarcoidosis with chest CT imaging. RESEARCH QUESTION: Do individuals with fibrotic sarcoidosis have more severe physiological impairment than those with nonfibrotic sarcoidosis and those with no parenchymal abnormality, and are there CT subtypes of fibrosis that are associated with different physiological subtypes? STUDY DESIGN AND

methodsThe study included individuals with sarcoidosis from 2 large medical centers who were seen between 2008 and 2018 and from the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) consortium and who received high-resolution CT imaging and spirometry and lung diffusing capacity within 180 days (N = 932). Pulmonary function phenotypes were characterized based on spirometry findings and lung diffusing capacity. CT patterns were systematically classified as fibrotic, nonfibrotic, or no parenchymal abnormality based on standardized visual assessment. Multinomial logistic regression analyzed the relationship between pulmonary function and CT categories.

resultsAmong the 942 patients, 353 (38%) had fibrosis, 380 (41%) had nonfibrotic abnormalities, and 199 (21%) had no parenchymal abnormality. Individuals with fibrotic abnormalities were older and had a longer time since diagnosis, more impaired spirometry and diffusing capacity, and larger pulmonary artery diameter than those without (all, P < .001). Among participants with fibrosis, those with a conglomerate mass were 9 times more likely to have a mixed pattern of spirometric impairment (P < .01).

interpretationOur results show that individuals with fibrotic pulmonary sarcoidosis display distinct demographic and spirometric differences. Subtypes of fibrosis exhibit different lung function abnormalities.

Indexed as

LungPulmonary FibrosisSarcoidosis, PulmonaryTomography, X-Ray ComputedAdultFemaleHumansMaleMiddle AgedPulmonary Diffusing CapacitySpirometryfibrotic phenotypeshigh-resolution CT findingspulmonary sarcoidosis

Identifiers

PMID41794119
PMCPMC13494430

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Registered trials

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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.