Evidence map›Paper›PMID 42413723›Full record

ArticleChest2026

Longitudinal Mediastinal Lymph Node Dynamics Associate With Mortality and Fibrosis Progression in Fibrotic Interstitial Lung Disease.

Ayodeji Adegunsoye, Justin M Oldham, Katherine A Aracena, Daniel Sickinger, Ahmadreza Ghasemiesfe, Anand Devaraj, Janelle Vu Pugashetti, Cathryn T Lee, Inemesit Udofia, Iazsmin Bauer Ventura and 9 more

Abstract read
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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.

0numbers the graph read from it
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.

Ayodeji AdegunsoyeSection of Pulmonary & Critical Care, Department of Medicine, The University of Chicago, Chicago, IL. Electronic address: deji@uchicago.edu.
Justin M OldhamDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI.
Katherine A AracenaSection of Pulmonary & Critical Care, Department of Medicine, The University of Chicago, Chicago, IL; Center for Research Informatics, The University of Chicago, Chicago, IL.
Daniel SickingerCoreline North America, Suwanee, GA.
Ahmadreza GhasemiesfeDepartment of Radiology, University of California Davis, Sacramento, CA.
Anand DevarajRoyal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Janelle Vu PugashettiDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI.
Cathryn T LeeSection of Pulmonary & Critical Care, Department of Medicine, The University of Chicago, Chicago, IL.
Inemesit UdofiaSection of Pulmonary & Critical Care, Department of Medicine, The University of Chicago, Chicago, IL.
Iazsmin Bauer VenturaSection of Rheumatology, Department of Medicine, The University of Chicago, Chicago, IL.
Shashi BellamDivision of Pulmonary & Critical Care, Department of Medicine, Endeavor Health, Chicago, IL.
Kiran ThakrarDepartment of Radiology, Endeavor Health, Chicago, IL.
Aliya N HusainDepartment of Pathology, The University of Chicago, Chicago, IL.
Anne I SperlingDivision of Pulmonary & Critical Care & Sleep Medicine, Department of Medicine, University of Virginia, Charlottesville, VA.
Imre NothDivision of Pulmonary & Critical Care & Sleep Medicine, Department of Medicine, University of Virginia, Charlottesville, VA.
Mary E StrekSection of Pulmonary & Critical Care, Department of Medicine, The University of Chicago, Chicago, IL.
Philip L MolyneauxRoyal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Lydia ChelalaDepartment of Radiology, The University of Chicago, Chicago, IL.
Jonathan H ChungDepartment of Radiology, The University of Chicago, Chicago, IL; Department of Radiology, University of California, San Diego, CA.

Funding

A Multi-Dimensional Signature to Predict Treatment Failure in Patients with Connective Tissue Disease-Associated Interstitial Lung DiseaseK23HL171871 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Janelle Vu Pugashetti · 2025 to 2026
$392k
NHLBI NIH HHS K23 HL171871NHLBI NIH HHS L30 HL181822
6 · The paper itself

Abstract

backgroundAlthough mediastinal lymph node (MLN) enlargement is common in fibrotic interstitial lung disease (ILD), its dynamic behavior and prognostic value are unclear. RESEARCH QUESTION: Do MLN size, count, and progression on high-resolution chest CT imaging associate with physiological decline, fibrosis progression, and transplant-free survival, and do these factors improve risk models? STUDY DESIGN AND

methodsThis study included a prospective cohort of patients with fibrotic ILD from a tertiary center (N = 1,122) with independent replication (n = 181). MLNs were scored by using standardized radiologic criteria; fibrosis was quantified according to deep texture analysis. Associations with outcomes were evaluated by using Cox and linear mixed-effects models; model discrimination was assessed by using Harrell's concordance index and net benefit by decision curve analysis.

resultsBaseline MLN enlargement (≥ 10 mm) occurred in 67% and was independently associated with worse transplant-free survival (hazard ratio, 2.44; 95% CI, 2.01-2.96; P < .0001). MLN progression was associated with excess mortality (adjusted hazard ratio, 4.09; 95% CI, 2.34-7.17; P < .001) and modified the association between fibrosis progression and survival (interaction hazard ratio, 3.02; P = .001). Fibrosis remained the stronger prognostic marker, but MLN metrics added complementary information within fibrosis strata and modestly improved discrimination when added to clinical models based on ILD-GAP (gender, age, physiology) model score or progressive pulmonary fibrosis status. Findings were directionally consistent in the independent replication cohort.

interpretationMLN burden and progression are accessible, quantifiable imaging biomarkers associated with adverse outcomes in fibrotic ILD. Incorporating MLN metrics into existing clinical models improves risk discrimination and supports further evaluation of their role in ILD risk stratification.

Indexed as

interstitial lung diseasemediastinal lymphadenopathyprognosispulmonary fibrosistransplant-free survival

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.