Evidence map›Paper›PMID 22882894›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2012

Chapter 6: Lung cancer in never smokers: epidemiology and risk prediction models.

William J McCarthy, Rafael Meza, Jihyoun Jeon, Suresh H Moolgavkar

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Urinary Metabolite Diagnostic and Prognostic Liquid Biopsy Biomarkers of Lung Cancer in Nonsmokers and Tobacco Smokers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Protective Effects of Thymoquinone, an Active Compound ofMolecules (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Cancer Progress and Priorities: Lung Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Review
  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

4 authors.

William J McCarthyDivision of Cancer Prevention & Control Research, University of California-Los Angeles, 650 Charles Young Drive, Los Angeles, CA 90095-6900, USA. wmccarth@ucla.edu
Rafael Meza
Jihyoun Jeon
Suresh H Moolgavkar

Funding

Comparative Modeling of Lung Cancer Control PoliciesU01CA152956 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DE KONING, HARRY J, KONG, CHUNG YIN · 2010 to 2014
$7.4M
SURVEILLANCE OF LUNG CANCER TRENDS IN THE US WITH MISCANU01CA097416 · NCI · RAND CORPORATION · PI DE KONING, HARRY J · 2002 to 2009
$1.9M
Lung Cancer in the U.S.: Trends and PreventionU01CA097415 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MOOLGAVKAR, SURESH H · 2002 to 2009
$1.8M
NCI NIH HHS 5U01CA097415NCI NIH HHS 5U01CA097416NCI NIH HHS U01 CA097415NCI NIH HHS U01 CA097416NCI NIH HHS U01 CA152956
6 · The paper itself

Abstract

In this chapter we review the epidemiology of lung cancer incidence and mortality among never smokers/nonsmokers and describe the never smoker lung cancer risk models used by the Cancer Intervention and Surveillance Network (CISNET) modelers. Our review focuses on those influences likely to have measurable population impact on never smoker risk, such as secondhand smoke, even though the individual-level impact may be small. Occupational exposures may also contribute importantly to the population attributable risk of lung cancer. We examine the following risk factors in this chapter: age, environmental tobacco smoke, cooking fumes, ionizing radiation including radon gas, inherited genetic susceptibility, selected occupational exposures, preexisting lung disease, and oncogenic viruses. We also compare the prevalence of never smokers between the three CISNET smoking scenarios and present the corresponding lung cancer mortality estimates among never smokers as predicted by a typical CISNET model.

Indexed as

AdultAged, 80 and overAge FactorsFemaleGasesGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedModels, StatisticalModels, TheoreticalOccupational ExposureRadiation, IonizingRadonRiskGasesRadon

Identifiers

PMID22882894
PMCPMC3485693

What OpenQuestion holds

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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.