Evidence map›Paper›PMID 25806292›Full record

ReviewTranslational lung cancer research2014

Lung cancer screening guidelines: common ground and differences.

Swati Gulati, James L Mulshine

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
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  5. Review
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  9. Article
  10. Urinary Metabolite Risk Biomarkers of Lung Cancer: A Prospective Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Article
  11. Review
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  13. Review
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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

2 authors at 1 institution in 1 country.

Swati Gulati1 Internal Medicine, John H Stroger Jr. Hospital of Cook County, Chicago, IL, USA ; 2 Department of Internal Medicine, Vice President Research, Rush University, 1735 West Harrison Street, Suite 206, Chicago, IL 60612, USA.
James L Mulshine1 Internal Medicine, John H Stroger Jr. Hospital of Cook County, Chicago, IL, USA ; 2 Department of Internal Medicine, Vice President Research, Rush University, 1735 West Harrison Street, Suite 206, Chicago, IL 60612, USA.
John H. Stroger, Jr. Hospital of Cook County · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer accounts for almost one-third of all cancer related deaths. Lung cancer risk persists even after smoking cessation and so many lung cancers now are diagnosed in former smokers. Five-year survival of lung cancer has marginally improved over decades and significantly lags behind that of colon, breast and prostate cancer. Over the past one decade, lung cancer screening trials have shown promising results. Results from National Lung Cancer Screening Trial (NLST), have shown a significant 20% reduction in mortality with annual low dose computed tomography (LDCT) screening. Based on these results, annual LDCT testing has been recommended for lung cancer screening in high risk population. However, development and acceptance of lung cancer screening as a public health policy is still in the nascent stages. Major concerns relate to risk of radiation, overdiagnosis bias, proportion of false positives and cost benefit analysis. This article reviews the literature pertaining to lung cancer screening guidelines and above mentioned concerns.

Indexed as

cancer screeninglow-dose computed tomography (LDCT)Lung cancer

Identifiers

PMID25806292
PMCPMC4367688
OpenAlexW2191033949

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.