Evidence map›Paper›PMID 37268414›Full record

ArticleThorax2023

Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans.

Elsa D Angelini, Jie Yang, Pallavi P Balte, Eric A Hoffman, Ani W Manichaikul, Yifei Sun, Wei Shen, John H M Austin, Norrina B Allen, Eugene R Bleecker and 31 more

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Thorax, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01969344 (Subpopulations and Intermediate Outcome Measures in COPD Study), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 2% of its field
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.

NCT01969344 active not recruitingnot on this map

Subpopulations and Intermediate Outcome Measures in COPD Study

TypeobservationalSponsorUniversity of North Carolina, Chapel HillRan2010 to 2031Enrolled2,981ConditionsCOPD, Chronic Obstructive Pulmonary Disease, Chronic Bronchitis, Emphysema
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  15. Radiomics for the Prediction of Emphysema Progression.Annals of the American Thoracic Society · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

41 authors at 20 institutions in 4 countries.

Elsa D Angelini *Department of Biomedical Engineering, Columbia University, New York, New York, USA.
Jie Yang *Department of Biomedical Engineering, Columbia University, New York, New York, USA.
Pallavi P BalteDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Eric A HoffmanDepartments of Radiology, Medicine and Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA.
Ani W ManichaikulCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-5998-795X
Yifei SunDepartment of Biostatistics, Columbia University Irving Medical Center, New York, New York, USA.
Wei ShenDepartment of Pediatrics, Institute of Human Nutrition, Columbia University Irving Medical Center, New York, New York, USA.
John H M AustinDepartment of Radiology, Columbia University Irving Medical Center, New York, New York, USA.
Norrina B AllenInstitute for Public Health and Medicine (IPHAM) - Center for Epidemiology and Population Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Eugene R BleeckerDepartment of Medicine, University of Arizona Health Sciences, Tucson, Arizona, USA.
Russell BowlerDepartment of Medicine, National Jewish Health, Denver, Colorado, USA.
Michael H ChoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-4907-1657
Christopher S CooperDepartment of Medicine, University of California, Los Angeles, California, USA.
David CouperDepartment of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, USA.
Mark T DransfieldLung Health Center, University of Alabama, Birmingham, Alabama, USA.
Christine Kim GarciaDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0002-0771-1249
MeiLan K HanDepartment of Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Nadia N HanselDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Emlyn HughesDepartment of Physics, Columbia University, New York, New York, USA.
David R JacobsDivision of Epidemiology and Community Public Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Silva KaselaDepartment of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA.
Joel Daniel KaufmanDepartments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-4174-9037
John Shinn KimDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0002-8887-150X
Tuuli LappalainenDepartment of Systems Biology, Columbia University Irving Medical Center, New York, New York, USA.
Joao LimaDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Daniel MalinskyDepartment of Biostatistics, Columbia University Irving Medical Center, New York, New York, USA.
Fernando J MartinezDepartment of Medicine, Cornell University Joan and Sanford I Weill Medical College, New York, New York, USA.
Elizabeth C OelsnerDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Victor E OrtegaDepartment of Pulmonary Medicine, Mayo Clinic, Phoenix, Arizona, USA.
Robert PaineDepartment of Medicine, University of Utah, Salt Lake City, Utah, USA.
Wendy PostDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Tess D PottingerDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Martin R PrinceDepartment of Radiology, Cornell University Joan and Sanford I Weill Medical College, New York, New York, USA.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA.
Edwin K SilvermanChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Benjamin M SmithDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Andrew J SwiftDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Karol E WatsonDepartment of Medicine, University of California, Los Angeles, California, USA.
Prescott G WoodruffDepartment of Medicine, University of California, San Francisco, California, USA.
Andrew F Laine *Department of Biomedical Engineering, Columbia University, New York, New York, USA.
R Graham Barr *Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA rgb9@columbia.edu.
Columbia University Irving Medical Center · USJohns Hopkins University · USBrigham and Women's Hospital · USColumbia University · USCornell University · USUniversity of California, Los Angeles · USUniversity of Virginia · USMayo Clinic in Florida · USNational Jewish Health · USNorthwestern University · USTélécom Paris · FRUniversity of Alabama at Birmingham · USUniversity of Arizona · USUniversity of California, San Francisco · USUniversity of Iowa · USUniversity of Michigan · USUniversity of Minnesota · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · USUniversity of Washington · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Brandi Janssen · 1990 to 2026
$40.5M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Pulmonary microvascular perfusion in the Multi-Ethnic Study of AtherosclerosisR01HL077612 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI R Graham BARR · 2004 to 2026
$18.8M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR001881NHLBI 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 HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS K12 HL120004NHLBI NIH HHS K24 HL140108NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N02 HL064278NHLBI NIH HHS P01 HL105339NHLBI NIH HHS R01 HL077612NHLBI NIH HHS R01 HL093081NHLBI NIH HHS R01 HL103676NHLBI NIH HHS R01 HL113264NHLBI NIH HHS R01 HL121270NHLBI NIH HHS R01 HL130506NHLBI NIH HHS R01 HL131565NHLBI NIH HHS R01 HL142028NHLBI NIH HHS R01 HL155816NHLBI NIH HHS RC1 HL100543NHLBI NIH HHS T32 HL144442NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U24 HL141762NIDDK NIH HHS P30 DK026687NIDDK NIH HHS P30 DK054759NIDDK NIH HHS P30 DK063491NIEHS NIH HHS P30 ES005605NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

backgroundTreatment and preventative advances for chronic obstructive pulmonary disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if unsupervised machine learning on CT images would discover CT emphysema subtypes with distinct characteristics, prognoses and genetic associations.

methodsNew CT emphysema subtypes were identified by unsupervised machine learning on only the texture and location of emphysematous regions on CT scans from 2853 participants in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS), a COPD case-control study, followed by data reduction. Subtypes were compared with symptoms and physiology among 2949 participants in the population-based Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study and with prognosis among 6658 MESA participants. Associations with genome-wide single-nucleotide-polymorphisms were examined.

resultsThe algorithm discovered six reproducible (interlearner intraclass correlation coefficient, 0.91-1.00) CT emphysema subtypes. The most common subtype in SPIROMICS, the combined bronchitis-apical subtype, was associated with chronic bronchitis, accelerated lung function decline, hospitalisations, deaths, incident airflow limitation and a gene variant near

conclusionLarge-scale unsupervised machine learning on CT scans defined six reproducible, familiar CT emphysema subtypes that suggest paths to specific diagnosis and personalised therapies in COPD and pre-COPD.

Indexed as

EmphysemaPulmonary Disease, Chronic ObstructivePulmonary EmphysemaCase-Control StudiesHumansLungTomography, X-Ray ComputedUnsupervised Machine LearningCOPD epidemiologyEmphysemaImaging/CT MRI etc

Identifiers

PMID37268414
PMCPMC10592007
OpenAlexW4379137326

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.