Evidence map›Paper›PMID 23042237›Full record

ArticleNature medicine2012

Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression.

Craig J Galbán, Meilan K Han, Jennifer L Boes, Komal A Chughtai, Charles R Meyer, Timothy D Johnson, Stefanie Galbán, Alnawaz Rehemtulla, Ella A Kazerooni, Fernando J Martinez and 1 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Nature medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03821311 (Investigating the Effect of Nasal High Flow Oxygen Therapy on Regional Lung Function), which is not on this map. Cited by 418 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
418citing papers in PubMed, 1 pooled it
31.0field-weighted citation impact, top 1% 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.

NCT03821311 nacompletednot on this mapstarted 2018, after this paper: background citation

Investigating the Effect of Nasal High Flow Oxygen Therapy on Regional Lung Function

TypeinterventionalSponsorUniversity Hospital, GrenobleRan2018 to 2019Enrolled8ConditionsChronic Obstructive Pulmonary Disease, Nasal High Flow, Dynamic Volumetric Computed TomographyArmsComputed tomography
3 · Its place in the literature

Who cites it

418 citing papers in PubMed, 1 synthesis or guideline pooled it, 785 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Imaging Markers of Chronic Obstructive Pulmonary Disease on Computed Tomography of the Lungs: a Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Craig J GalbánDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA.
Meilan K Han
Jennifer L Boes
Komal A Chughtai
Charles R Meyer
Timothy D Johnson
Stefanie Galbán
Alnawaz Rehemtulla
Ella A Kazerooni
Fernando J Martinez
Brian D Ross
University of Michigan–Ann Arbor · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Small Animal Imaging CoreP50CA093990 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSS, BRIAN D. · 2002 to 2012
$19.0M
Training Future Imaging Scientists for BiomedicineT32EB005172 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FOWLKES, JEFFREY B · 2008 to 2012
$1.1M
NCI NIH HHS P50 CA093990NCI NIH HHS P50CA93990NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U01HL089897NIBIB NIH HHS T32 EB005172NIBIB NIH HHS T32EB005172
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD subtypes by image biomarkers is urgently needed to enable individualized treatment, thus improving patient outcome. We adapted the parametric response map (PRM), a voxel-wise image analysis technique, for assessing COPD phenotype. We analyzed whole-lung computed tomography (CT) scans acquired at inspiration and expiration of 194 individuals with COPD from the COPDGene study. PRM identified the extent of functional small airways disease (fSAD) and emphysema as well as provided CT-based evidence that supports the concept that fSAD precedes emphysema with increasing COPD severity. PRM is a versatile imaging biomarker capable of diagnosing disease extent and phenotype while providing detailed spatial information of disease distribution and location. PRM's ability to differentiate between specific COPD phenotypes will allow for more accurate diagnosis of individual patients, complementing standard clinical techniques.

Indexed as

Diagnosis, DifferentialPulmonary Disease, Chronic ObstructivePulmonary EmphysemaTomography, Emission-ComputedBiomarkersDisease ProgressionFemaleHumansImage Processing, Computer-AssistedLungMaleSmokingTomography, X-Ray ComputedBiomarkers

Identifiers

PMID23042237
PMCPMC3493851
OpenAlexW2087387762

What OpenQuestion holds

Textmetadata
LicenceTDM
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.