Evidence map›Paper›PMID 40680162›Full record

ArticleAmerican journal of respiratory and critical care medicine2025

A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis.

Jennifer M Wang, Ayodeji Adegunsoye, Janelle Vu Pugashetti, Cathryn T Lee, Susan Murray, Nisha Mohan, Nazanin Nazemi, Edward Kang, Lydia Chelala, Ella A Kazerooni and 9 more

Abstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Prevalence and Prognostic Impact of Progressive Pulmonary Fibrosis.Tuberculosis and respiratory diseases · 2026
    Review
  7. Article
  8. Progressive pulmonary fibrosis: the importance of identification and intervention.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  9. Article
  10. A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2025
    Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Jennifer M WangDivision of Pulmonary and Critical Care Medicine.ORCID 0000-0003-4670-7549
Ayodeji AdegunsoyeSection of Pulmonary and Critical Care Medicine and.ORCID 0000-0002-7015-9610
Janelle Vu PugashettiDivision of Pulmonary and Critical Care Medicine.ORCID 0000-0002-8889-2757
Cathryn T LeeSection of Pulmonary and Critical Care Medicine and.ORCID 0000-0002-0963-7505
Susan MurrayDepartment of Biostatistics.ORCID 0000-0003-4387-7673
Nisha MohanDivision of Pulmonary and Critical Care Medicine.
Nazanin NazemiDivision of Pulmonary and Critical Care Medicine.
Edward KangDivision of Pulmonary and Critical Care Medicine.
Lydia ChelalaDepartment of Radiology, University of Chicago, Chicago, Illinois.ORCID 0000-0002-6295-6150
Ella A KazerooniDepartment of Radiology, and.ORCID 0000-0001-5859-8744
Kevin R FlahertyDivision of Pulmonary and Critical Care Medicine.ORCID 0000-0001-7686-0291
Elizabeth A BelloliDivision of Pulmonary and Critical Care Medicine.ORCID 0009-0002-0881-6496
Jamie S ShethDivision of Pulmonary and Critical Care Medicine.ORCID 0000-0002-4179-0841
David N O'DwyerDivision of Pulmonary and Critical Care Medicine.ORCID 0000-0003-3214-380X
Mary E StrekSection of Pulmonary and Critical Care Medicine and.ORCID 0000-0002-7671-1023
Charles R HattDepartment of Radiology, and.ORCID 0000-0001-7097-5434
MeiLan K HanDivision of Pulmonary and Critical Care Medicine.ORCID 0000-0002-9095-4419
Jonathan H ChungSection of Pulmonary and Critical Care Medicine and.ORCID 0000-0001-7011-0588
Justin M OldhamDivision of Pulmonary and Critical Care Medicine.ORCID 0000-0003-4957-8869

Funding

PULMONARY CELLULAR AND MOLECULAR BIOLOGY TRAININGT32HL007749 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Robert Pickett Dickson · 1993 to 2026
$19.9M
Proteomic Profiling of Idiopathic Pulmonary Fibrosis Progression TrajectoryR01HL169166 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin M Oldham · 2023 to 2026
$2.7M
Prognostic Biomarker Development in Progressive Fibrosing Interstitial Lung DiseaseR01HL166290 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin M Oldham · 2024 to 2026
$2.2M
Defining Pathways in COPD Patient Oriented ResearchK24HL138188 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MeiLan K Han · 2017 to 2026
$1.2M
Improving Pulmonary Fibrosis Classification with Genomics Informed Phenotypic ClustersK23HL146942 · NHLBI · UNIVERSITY OF CHICAGO · PI ADEGUNSOYE, AYODEJI · 2020 to 2024
$810k
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
Defining Combined Pulmonary Fibrosis and Emphysema (CPFE) using Quantitative CT ImagingF32HL175973 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WANG, JENNIFER MIN · 2024 to 2025
$174k
NHLBI NIH HHS F32 HL175973NHLBI NIH HHS F32HL175973NHLBI NIH HHS K23 HL146942NHLBI NIH HHS K23HL146942NHLBI NIH HHS K23 HL171871NHLBI NIH HHS K24 HL138188NHLBI NIH HHS K24HL138188NHLBI NIH HHS L30 HL181822NHLBI NIH HHS R01 HL166290NHLBI NIH HHS R01HL166290NHLBI NIH HHS R01 HL169166NHLBI NIH HHS R01HL169166NHLBI NIH HHS T32 HL007749NHLBI NIH HHS T32HL007749
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Idiopathic Pulmonary FibrosisLung Diseases, InterstitialPulmonary FibrosisTomography, X-Ray ComputedAgedDisease ProgressionFemaleHumansMaleMiddle AgedRetrospective Studiesinterstitial lung diseasequantitative computed tomographysurvival

Identifiers

PMID40680162
PMCPMC12378963

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

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 OpenQuestion graph.