Evidence map›Paper›PMID 28943279›Full record

ArticleChest2018

Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression.

Adel Boueiz, Yale Chang, Michael H Cho, George R Washko, Raul San José Estépar, Russell P Bowler, James D Crapo, Dawn L DeMeo, Jennifer G Dy, Edwin K Silverman and 2 more

Abstract read
In one paragraph

Article in Chest, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. HighERJ open research · 2026
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  19. CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping.International journal of chronic obstructive pulmonary disease · 2022
    Review
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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

12 authors.

Adel BoueizChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Yale ChangDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA.
Michael H ChoPulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
George R WashkoPulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Raul San José EstéparSurgical Planning Laboratory, Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Russell P BowlerDivision of Pulmonary Medicine, Department of Medicine, National Jewish Health, Denver, CO.
James D CrapoDivision of Pulmonary Medicine, Department of Medicine, National Jewish Health, Denver, CO.
Dawn L DeMeoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Jennifer G DyDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA.
Edwin K SilvermanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Peter J CastaldiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Division of General Medicine and Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. Electronic address: repjc@channing.harvard.edu.
COPDGene Investigators

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 Brandi Janssen · 1990 to 2026
$40.5M
Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, MARY E · 2013 to 2025
$24.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTLR01HL124233 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASTALDI, PETER · 2014 to 2024
$7.1M
Identifying Genetic Determinants of Severe, Early-Onset COPDR01HL113264 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHO, MICHAEL H., SILVERMAN, EDWIN K · 2012 to 2016
$6.0M
Ultra-low Dose, High Speed, High Resolution, Multispectral, Multi-Source MDCT ScaS10OD018526 · OD · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED · 2015 to 2015
$2.0M
Genetics of Smoke-Altered LTA4H in COPDR01HL126596 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BLALOCK, J EDWIN, CASTALDI, PETER · 2015 to 2018
$1.6M
SYSTEMS GENETICS AND GENOMICS OF LUNG DISEASESK12HL120004 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K, WEISS, SCOTT T · 2013 to 2017
$1.3M
NHLBI NIH HHS K08 HL141601NHLBI NIH HHS K12 HL120004NHLBI NIH HHS P01 HL114501NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL089897NHLBI NIH HHS R01 HL113264NHLBI NIH HHS R01 HL124233NHLBI NIH HHS R01 HL126596NHLBI NIH HHS T32 HL007427NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NIEHS NIH HHS P30 ES005605NIH HHS S10 OD018526
6 · The paper itself

Abstract

backgroundEmphysema has considerable variability in its regional distribution. Craniocaudal emphysema distribution is an important predictor of the response to lung volume reduction. However, there is little consensus regarding how to define upper lobe-predominant and lower lobe-predominant emphysema subtypes. Consequently, the clinical and genetic associations with these subtypes are poorly characterized.

methodsWe sought to identify subgroups characterized by upper-lobe or lower-lobe emphysema predominance and comparable amounts of total emphysema by analyzing data from 9,210 smokers without alpha-1-antitrypsin deficiency in the Genetic Epidemiology of COPD (COPDGene) cohort. CT densitometric emphysema was measured in each lung lobe. Random forest clustering was applied to lobar emphysema variables after regressing out the effects of total emphysema. Clusters were tested for association with clinical and imaging outcomes at baseline and at 5-year follow-up. Their associations with genetic variants were also compared.

resultsThree clusters were identified: minimal emphysema (n = 1,312), upper lobe-predominant emphysema (n = 905), and lower lobe-predominant emphysema (n = 796). Despite a similar amount of total emphysema, the lower-lobe group had more severe airflow obstruction at baseline and higher rates of metabolic syndrome compared with subjects with upper-lobe predominance. The group with upper-lobe predominance had greater 5-year progression of emphysema, gas trapping, and dyspnea. Differential associations with known COPD genetic risk variants were noted.

conclusionsSubgroups of smokers defined by upper-lobe or lower-lobe emphysema predominance exhibit different functional and radiological disease progression rates, and the upper-lobe predominant subtype shows evidence of association with known COPD genetic risk variants. These subgroups may be useful in the development of personalized treatments for COPD.

Indexed as

AgedComorbidityDisease ProgressionFemaleForced Expiratory VolumeHumansMaleMiddle AgedPulmonary EmphysemaSeverity of Illness IndexTomography, X-Ray ComputedclusteringCOPDCOPD disease progressionemphysema distributionmachine learning

Identifiers

PMID28943279
PMCPMC6026264

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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.