Evidence map›Paper›PMID 22652029›Full record

ReviewAmerican journal of respiratory and critical care medicine2012

Genomic medicine and lung diseases.

David M Center, David A Schwartz, Julian Solway, Dorothy Gail, Aaron D Laposky, Qing S Lin, Weiniu Gan

Open access · greenAbstract readReview
In one paragraph

Review in American journal of respiratory and critical care medicine, 2012. 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
1.2field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Idiopathic pulmonary fibrosis: the need for early diagnosis.Multidisciplinary respiratory medicine · 2013
    Article
  3. Article
  4. Article
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

7 authors at 3 institutions in 1 country.

David M CenterPulmonary, Allergy, Sleep, and Critical Care Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
David A Schwartz
Julian Solway
Dorothy Gail
Aaron D Laposky
Qing S Lin
Weiniu Gan
National Institutes of Health · USBoston University · USUniversity of Colorado Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent explosion of genomic data and technology points to opportunities to redefine lung diseases at the molecular level; to apply integrated genomic approaches to elucidate mechanisms of lung pathophysiology; and to improve early detection, diagnosis, and treatment of lung diseases. Research is needed to translate genomic discoveries into clinical applications, such as detecting preclinical disease, predicting patient outcomes, guiding treatment choices, and most of all identifying potential therapeutic targets for lung diseases. The Division of Lung Diseases in the National Heart, Lung, and Blood Institute convened a workshop, "Genomic Medicine and Lung Diseases," to discuss the potential for integrated genomics and systems approaches to advance 21st century pulmonary medicine and to evaluate the most promising opportunities for this next phase of genomics research to yield clinical benefit. Workshop sessions included (1) molecular phenotypes, molecular biomarkers, and therapeutics; (2) new technology and opportunity; (3) integrative genomics; (4) molecular anatomy of the lung; (5) novel data and information platforms; and (6) recommendations for exceptional research opportunities in lung genomics research.

Indexed as

EducationGenetic Predisposition to DiseaseGenetic VariationGenomicsHumansLung DiseasesNational Heart, Lung, and Blood Institute (U.S.)United States

Identifiers

PMID22652029
PMCPMC3423454
OpenAlexW1971617834

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.