Evidence map›Paper›PMID 23566024›Full record

ArticleRespiratory research2013

Paired inspiratory-expiratory chest CT scans to assess for small airways disease in COPD.

Craig P Hersh, George R Washko, Raúl San José Estépar, Sharon Lutz, Paul J Friedman, MeiLan K Han, John E Hokanson, Philip F Judy, David A Lynch, Barry J Make and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% 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.

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

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 124 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

16 authors at 6 institutions in 1 country.

Craig P HershChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115, USA. craig.hersh@channing.harvard.edu
George R Washko
Raúl San José Estépar
Sharon Lutz
Paul J Friedman
MeiLan K Han
John E Hokanson
Philip F Judy
David A Lynch
Barry J Make
Nathaniel Marchetti
John D Newell
Frank C Sciurba
James D Crapo
Edwin K Silverman
COPDGene Investigators
Brigham and Women's Hospital · USColorado School of Public Health · USNational Jewish Health · USUniversity of Iowa · USUniversity of California San Diego · USUniversity of Pittsburgh · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
LONG-TERM OXYGEN TREATMENT TRIAL (LOTT) PHARMACOGENOMICS ANCILLARY STUDYR01HL094635 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2009 to 2014
$2.2M
PHARMACOGENOMICS OF INHALED CORTICOSTEROIDS TO REDUCE COPD EXACERBATIONSR01NR013377 · NINR · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2011 to 2013
$1.5M
Th17 inflammation is responsible for mucous metaplasia in COPDK23HL094696 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI KIM, VICTOR · 2011 to 2014
$563k
Medical Research Council G0701127NCATS NIH HHS UL1 TR000005NHLBI NIH HHS K23 HL094696NHLBI NIH HHS R01 HL094635NHLBI NIH HHS R01HL094635NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U01HL089897NIEHS NIH HHS T32 ES007142NINR NIH HHS R01 NR013377NINR NIH HHS R01NR013377
6 · The paper itself

Abstract

backgroundGas trapping quantified on chest CT scans has been proposed as a surrogate for small airway disease in COPD. We sought to determine if measurements using paired inspiratory and expiratory CT scans may be better able to separate gas trapping due to emphysema from gas trapping due to small airway disease.

methodsSmokers with and without COPD from the COPDGene Study underwent inspiratory and expiratory chest CT scans. Emphysema was quantified by the percent of lung with attenuation < -950HU on inspiratory CT. Four gas trapping measures were defined: (1) Exp(-856), the percent of lung < -856HU on expiratory imaging; (2) E/I MLA, the ratio of expiratory to inspiratory mean lung attenuation; (3) RVC(856-950), the difference between expiratory and inspiratory lung volumes with attenuation between -856 and -950 HU; and (4) Residuals from the regression of Exp(-856) on percent emphysema.

resultsIn 8517 subjects with complete data, Exp(-856) was highly correlated with emphysema. The measures based on paired inspiratory and expiratory CT scans were less strongly correlated with emphysema. Exp(-856), E/I MLA and RVC(856-950) were predictive of spirometry, exercise capacity and quality of life in all subjects and in subjects without emphysema. In subjects with severe emphysema, E/I MLA and RVC(856-950) showed the highest correlations with clinical variables.

conclusionsQuantitative measures based on paired inspiratory and expiratory chest CT scans can be used as markers of small airway disease in smokers with and without COPD, but this will require that future studies acquire both inspiratory and expiratory CT scans.

Indexed as

Respiratory MechanicsComorbidityFemaleHumansMaleMiddle AgedPrevalencePulmonary AlveoliPulmonary Disease, Chronic ObstructivePulmonary EmphysemaRadiographic Image EnhancementRadiography, ThoracicReproducibility of ResultsSensitivity and SpecificitySmokingTomography, X-Ray Computed

Identifiers

PMID23566024
PMCPMC3627637
OpenAlexW2153997368

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Registered trials

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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.