Evidence map›Paper›PMID 24267709›Full record

ArticleRadiologic clinics of North America2014

Lung cancer screening with low-dose computed tomography.

Caroline Chiles

Open access · greenAbstract read
In one paragraph

Article in Radiologic clinics of North America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Lung Cancer as a Subsequent Malignant Neoplasm in Survivors of Childhood Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Lung Nodule DetectionFrontiers in oncology · 2018
    Article
  18. Radiomic analysis in prediction of Human Papilloma Virus status.Clinical and translational radiation oncology · 2017
    Article
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Caroline ChilesDepartment of Radiology, Wake Forest University Health Sciences Center, Medical Center Boulevard, Winston-Salem, NC 27157, USA. Electronic address: cchiles@wakehealth.edu.
Wake Forest University · US

Funding

BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
NCI NIH HHS U01 CA079778
6 · The paper itself

Abstract

Current guidelines endorse low-dose computed tomography (LDCT) screening for smokers and former smokers aged 55 to 74, with at least a 30-pack-year smoking history. Adherence to published algorithms for nodule follow-up is strongly encouraged. Future directions for screening research include risk stratification for selection of the screening population and improvements in the diagnostic follow-up for indeterminate pulmonary nodules. Screening for lung cancer with LDCT has revealed that there are indolent lung cancers that may not be fatal. More research is necessary if the risk-benefit ratio in lung cancer screening is to be maximized.

Indexed as

AgedEarly Detection of CancerFalse Positive ReactionsHumansLung NeoplasmsMiddle AgedRadiation DosageSmokingTomography, X-Ray ComputedComputed tomographyLung cancerLung cancer screeningPulmonary noduleThoracic imaging

Identifiers

PMID24267709
PMCPMC3939698
OpenAlexW2094477859

What OpenQuestion holds

Textmetadata
LicenceTDM
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.