Evidence map›Paper›PMID 39314974›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Deep Learning Estimation of Small Airways Disease from Inspiratory Chest CT is Associated with FEV

Muhammad F A Chaudhary, Hira A Awan, Sarah E Gerard, Sandeep Bodduluri, Alejandro P Comellas, Igor Z Barjaktarevic, R Graham Barr, Christopher B Cooper, Craig J Galban, MeiLan K Han and 11 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Muhammad F A ChaudharyThe Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, 52242.
Hira A AwanThe Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, 52242.
Sarah E GerardThe Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, 52242.
Sandeep BodduluriCenter for Lung Analytics and Imaging Research (CLAIR), Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL 35294.
Alejandro P ComellasDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Occupational Medicine, University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, IA, 52242.
Igor Z BarjaktarevicDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095.
R Graham BarrDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032.
Christopher B CooperDepartment of Physiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095.
Craig J GalbanDepartment of Radiology, University of Michigan, Ann Arbor, MI, 48109.
MeiLan K HanDivision of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, 48109.
Jeffrey L CurtisDivision of Pulmonary and Critical Care Medicine, University of Michigan Health System, Ann Arbor, MI, 48109.
Nadia N HanselDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21205.
Jerry A KrishnanBreathe Chicago Center, University of Illinois at Chicago, Chicago, IL, 60608.
Martha G MenchacaDepartment of Radiology, College of Medicine, University of Illinois at Chicago, Chicago, IL, 60612.
Fernando J MartinezUniversity of Massachusetts Chan Medical School, Worcester, MA, 01655.
Jill OharWake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, 27101.
Luis G Vargas BuonfiglioDivision of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, UT, 84112.
Robert PaineDivision of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, UT, 84112.
Surya P BhattCenter for Lung Analytics and Imaging Research (CLAIR), Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL 35294.
Eric A HoffmanThe Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, 52242.
Joseph M ReinhardtThe Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, 52242.

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
GENETIC EPIDEMIOLOGY OF COPD (COPD GENE) TASK A: STUDY VISIT 4, COLLECTION OF COPDGENE STUDY DATA ANDBIOSPECIMENS AND OVERSIGHT OF THE COPDGENE STUDY75N92023D00011 · NHLBI · NATIONAL JEWISH HEALTH · PI NEWMAN, LEE S · 2023 to 2025
$29.6M
SPIROMICS II: Biological underpinnings of COPD heterogeneity and progressionU01HL137880 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WOODRUFF, PRESCOTT G · 2017 to 2021
$27.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
SPIROMICS GIC SupportU24HL141762 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J, O'NEAL, WANDA K · 2018 to 2022
$7.2M
Lung Biomechanics and Disease Progression in SPIROMICSR01HL142625 · NHLBI · UNIVERSITY OF IOWA · PI REINHARDT, JOSEPH M · 2018 to 2021
$2.2M
NHLBI NIH HHS 75N92023D00011NHLBI NIH HHS HHSN268200900013CNHLBI NIH HHS HHSN268200900014CNHLBI NIH HHS HHSN268200900015CNHLBI NIH HHS HHSN268200900016CNHLBI NIH HHS HHSN268200900017CNHLBI NIH HHS HHSN268200900018CNHLBI NIH HHS HHSN268200900019CNHLBI NIH HHS HHSN268200900020CNHLBI NIH HHS R01 HL142625NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U01 HL137880NHLBI NIH HHS U24 HL141762NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

Rationale: Quantifying functional small airways disease (fSAD) requires additional expiratory computed tomography (CT) scan, limiting clinical applicability. Artificial intelligence (AI) could enable fSAD quantification from chest CT scan at total lung capacity (TLC) alone (fSAD Objectives: To evaluate an AI model for estimating fSAD Methods: We analyzed 2513 participants from the SubPopulations and InteRmediate Outcome Measures in COPD Study (SPIROMICS). Using a subset ( Measurements and Main Results: Inspiratory fSAD Conclusions: Inspiratory fSAD

Identifiers

PMID39314974
PMCPMC11419202

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.