Evidence map›Paper›PMID 26230235›Full record

ReviewAmerican journal of respiratory and critical care medicine2015

Update in Lung Cancer 2014.

Avrum Spira, Balazs Halmos, Charles A Powell

Open access · greenAbstract readReview
In one paragraph

Review in American journal of respiratory and critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.2field-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

17 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
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  9. Review
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  11. Review
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  15. Review
  16. The International Epidemiology of Lung Cancer: Latest Trends, Disparities, and Tumor Characteristics.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2016
    Article
  17. 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

3 authors at 3 institutions in 1 country.

Avrum Spira1 Division of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts.ORCID http://orcid.org/0000-0003-1467-0489
Balazs Halmos2 Department of Medicine, Columbia University Medical Center, New York, New York; and.ORCID http://orcid.org/0000-0001-7548-8360
Charles A Powell3 Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID http://orcid.org/0000-0003-3509-891X
Boston University · USColumbia University Irving Medical Center · USIcahn School of Medicine at Mount Sinai · US

Funding

Lung Adenocarcinoma Invasion GenomicsR01CA163772 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MASSION, PIERRE P., POWELL, CHARLES A. · 2013 to 2017
$2.9M
NCI NIH HHS R01 CA163772
6 · The paper itself

Abstract

In the past 2 years, lung cancer research and clinical care have advanced significantly. Advancements in the field have improved outcomes and promise to lead to further reductions in deaths from lung cancer, the leading cause of cancer death worldwide. These advances include identification of new molecular targets for personalized targeted therapy, validation of molecular signatures of lung cancer risk in smokers, progress in lung tumor immunotherapy, and implementation of population-based lung cancer screening with chest computed tomography in the United States. In this review, we highlight recent research in these areas and challenges for the future.

Indexed as

Biomarkers, TumorBiomedical ResearchEarly Detection of CancerHumansImmunotherapyLung NeoplasmsMass ScreeningTomography, X-Ray ComputedUnited StatesBiomarkers, Tumorbiomarkerschest computed tomography screeninglung cancerlung immunotherapytargeted therapy

Identifiers

PMID26230235
PMCPMC4584253
OpenAlexW2915992355

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.