ArticleInternational journal of cancer2011
A smoking-based carcinogenesis model for lung cancer risk prediction.
Article in International journal of cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Occult metastases and survival of lung cancer by clinical diagnosis and CT screening: A simulation study.PloS one · 2025Article
- Bayesian versus Empirical Calibration of Microsimulation Models: A Comparative Analysis.Medical decision making : an international journal of the Society for Medical Decision Making · 2021Article
- Performance of various risk prediction models in a large lung cancer screening cohort in Gdańsk, Poland-a comparative study.Translational lung cancer research · 2021Article
- Proportion of Non-Small-Cell Lung Cancer Patients that Would Have Been Eligible for Lung Cancer Screening.Clinical lung cancer · 2016Article
- The mathematics of cancer: integrating quantitative models.Nature reviews. Cancer · 2015Review
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- Adjusting a cancer mortality-prediction model for disease status-related eligibility criteria.BMC medical research methodology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Lung cancer is the leading cancer killer for both men and women worldwide. Over 80% of lung cancers are attributed to smoking. In this analysis, the authors propose to use a two-stage clonal expansion (TSCE) model to predict an individual's lung cancer risk based on gender and smoking history. The TSCE model is traditionally fitted to prospective cohort data. Here, the authors describe a new method that allows for the reconstruction of cohort data from the combination of risk factor data obtained from a case-control study, and tabled incidence/mortality rate data, and discuss alternative approaches. The method is applied to fit a TSCE model based on smoking. The fitted model is validated against independent data from the control arm of a lung cancer chemoprevention trial, CARET, where it accurately predicted the number of lung cancer deaths observed.
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What OpenQuestion holds
Registered trials
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.