Literature DB >> 11745232

Modeling of long-term screening for lung carcinoma.

O Y Gorlova1, M Kimmel, C Henschke.   

Abstract

BACKGROUND: Results from the Mayo Lung Project (MLP), a randomized clinical trial for the early detection of lung carcinoma, were interpreted as proof that the early detection of lung carcinoma by chest X-ray does not reduce the mortality from this disease. Recent analysis of extended follow-up data from the MLP subjects found that after approximately 20 years there still was no apparent difference in lung carcinoma mortality between a study group and a control group.
METHODS: To view this result within context, the authors utilized a previously published simulation model of the MLP, with parametric values that were estimated at the time of the original publication based on the data collected by the MLP.
RESULTS: The model produced predictions of the extended follow-up statistics that were found to be consistent with the data published in the prior study. The authors believe this provides long-term validation for the model. Conversely, the same model demonstrated that had the study subjects been screened annually for the extended follow-up period, the difference in mortality would be noticeable, even with the low sensitivity of chest X-ray detection.
CONCLUSIONS: The results of current study strongly suggest that long-term screening with chest X-ray results in a reduction in lung carcinoma mortality. The limited extent of this benefit is the result of the low sensitivity of chest X-ray as a screening tool. Copyright 2001 American Cancer Society.

Entities:  

Mesh:

Year:  2001        PMID: 11745232     DOI: 10.1002/1097-0142(20010915)92:6<1531::aid-cncr1479>3.0.co;2-p

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  5 in total

Review 1.  Calibration methods used in cancer simulation models and suggested reporting guidelines.

Authors:  Natasha K Stout; Amy B Knudsen; Chung Yin Kong; Pamela M McMahon; G Scott Gazelle
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

2.  Differential diagnosis of solitary lung nodules with gene expression ratios.

Authors:  Gavin J Gordon; Levi A Deters; Matthew D Nitz; Barry C Lieberman; Beow Y Yeap; Raphael Bueno
Journal:  J Thorac Cardiovasc Surg       Date:  2006-09       Impact factor: 5.209

3.  Association of smoking with tumor size at diagnosis in non-small cell lung cancer.

Authors:  Xing Chen; Ivan P Gorlov; Kelly W Merriman; Shih-Feng Weng; Millennia Foy; Gwendolyn Keener; Christopher I Amos; Margaret R Spitz; Marek Kimmel; Olga Y Gorlova
Journal:  Lung Cancer       Date:  2011-06-08       Impact factor: 5.705

4.  Modeling excess lung cancer risk among screened arm participants in the Mayo Lung Project.

Authors:  Deborah L Goldwasser; Marek Kimmel
Journal:  Cancer       Date:  2010-01-01       Impact factor: 6.860

5.  Exploring the uncertainties of early detection results: model-based interpretation of mayo lung project.

Authors:  Lu Shi; Haijun Tian; William J McCarthy; Barbara Berman; Shinyi Wu; Rob Boer
Journal:  BMC Cancer       Date:  2011-03-07       Impact factor: 4.430

  5 in total

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