Evidence map›Paper›PMID 24313772›Full record

ReviewAnnals of the American Thoracic Society2013

Personalized management of chronic obstructive pulmonary disease via transcriptomic profiling of the airway and lung.

Katrina Steiling, Marc E Lenburg, Avrum Spira

Abstract readReview
In one paragraph

Review in Annals of the American Thoracic Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Microbial diversity within the airway microbiome in chronic pediatric lung diseases.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  3. COPD: balancing oxidants and antioxidants.International journal of chronic obstructive pulmonary disease · 2015
    Review
  4. Tailoring of corticosteroids in COPD management.Current respiratory care reports · 2014
    Review
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

3 authors.

Katrina Steiling1 Division of Computational Biomedicine, Department of Medicine, and.
Marc E Lenburg
Avrum Spira

Funding

Linking airway genomics to the pathogenesis and clinical heterogeneity of COPDR01HL095388 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LENBURG, MARC ELLIOTT, SPIRA, AVRUM E · 2008 to 2011
$2.9M
Boston University Clinical and Translational Science Award (CTSA) Program KL2KL2RR025770 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2008 to 2011
$1.3M
NCRR NIH HHS KL2 RR025770NCRR NIH HHS KL2RR025770NHLBI NIH HHS 1R01 HL095388NHLBI NIH HHS R01 HL095388
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a clinically heterogeneous disease composed of variable degrees of airflow obstruction, emphysematous destruction, and small airway wall thickening. The natural history of this disease, although generally characterized by continued decline in lung function, is also highly variable. Novel transcriptomic approaches to study the airway and lung tissue in COPD hold the potential to improve our understanding of the molecular mechanisms underlying this heterogeneity and identify molecular subtypes of disease that have similar clinical manifestations. This new understanding can be leveraged to develop targeted COPD therapies and ultimately personalize treatment of COPD based on each patient's specific molecular subphenotype.

Indexed as

TranscriptomeDrug DiscoveryEpithelial CellsGene Expression ProfilingHumansLungPrecision MedicinePulmonary Disease, Chronic ObstructiveRespiratory Mucosa

Identifiers

PMID24313772
PMCPMC3960986

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.