Literature DB >> 10321372

Reanalysis of the Mayo Lung Project data: the impact of confounding and effect modification.

P M Marcus1, P C Prorok.   

Abstract

OBJECTIVES: To examine whether age at entry, history of cigarette smoking, exposure to non-tobacco lung carcinogens, or previous pulmonary illnesses were confounders or effect modifiers of the relation between screening and lung cancer mortality in the Mayo Lung Project.
SETTING: The Mayo Lung Project was a randomised, controlled, clinical trial conducted between 1971 and 1986 in 9211 male smokers over the age of 45 in Minnesota (USA). The group screened received chest x ray examination and sputum cytology every four months for six years. The unscreened group were recommended to obtain usual care (annual chest x ray examination and sputum cytology). After follow up, lung cancer mortality was similar in both groups.
METHODS: Proportional hazard models were used to analyse data. A variable was considered a confounder if its inclusion in a model changed the rate ratio for screening by more than 15%; a variable was considered an effect modifier if its stratum-specific rate ratio for screening differed by a factor of two.
RESULTS: None of the four aforementioned variables changed the rate ratio associated with screening (1.07) by more than 2%. The effect of screening may have differed by years smoked (rate ratio for smoking fewer than 30 years 2.4; rate ratio for smoking 30 or more years 1.0), though we suspect that this result occurred by chance.
CONCLUSION: Adjustment for or stratification by four established lung cancer risk factors did not alter the original findings of the Mayo Lung Project.

Entities:  

Mesh:

Year:  1999        PMID: 10321372     DOI: 10.1136/jms.6.1.47

Source DB:  PubMed          Journal:  J Med Screen        ISSN: 0969-1413            Impact factor:   2.136


  6 in total

1.  The Mayo Lung Project lung cancer mortality findings are unlikely to be biased by a volunteer effect.

Authors:  Pamela M Marcus; Eric J Bergstralh; Barnett S Kramer; Robert Fontana
Journal:  Eur J Epidemiol       Date:  2011-04-19       Impact factor: 8.082

Review 2.  Screening for lung cancer.

Authors:  Renée Manser; Anne Lethaby; Louis B Irving; Christine Stone; Graham Byrnes; Michael J Abramson; Don Campbell
Journal:  Cochrane Database Syst Rev       Date:  2013-06-21

Review 3.  Screening for lung cancer: a systematic review and meta-analysis of controlled trials.

Authors:  R L Manser; L B Irving; G Byrnes; M J Abramson; C A Stone; D A Campbell
Journal:  Thorax       Date:  2003-09       Impact factor: 9.139

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

6.  Do we know enough about the effect of low-dose computed tomography screening for lung cancer on survival to act? A systematic review, meta-analysis and network meta-analysis of randomised controlled trials.

Authors:  Huiqin Yang; Jo Varley-Campbell; Helen Coelho; Linda Long; Sophie Robinson; Tristan Snowsill; Ed Griffin; Jaime Peters; Chris Hyde
Journal:  Diagn Progn Res       Date:  2019-11-28
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.