Literature DB >> 16119428

Causality in cancer epidemiology.

Pagona Lagiou1, Hans-Olov Adami, Dimitrios Trichopoulos.   

Abstract

In this review, issues of causality in epidemiologic research with emphasis on the aetiology of human cancer are considered. Principles of assessing causation in epidemiological studies of cancer are distinguished into those concerning an individual study, several studies and a particular person. Strengths and weaknesses of various approaches of documenting carcinogenicity in humans are examined and lists of major established causes of human cancer are presented. The review concludes with estimates of mortality from cancer around the world that can be attributed to specific factors under the light of the current scientific knowledge.

Entities:  

Mesh：

Year:  2005        PMID： 16119428     DOI： 10.1007/s10654-005-7968-y

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


  28 in total

1.  Nutritional epidemiology of cancer: accomplishments and prospects.

Authors:  Pagona Lagiou; Antonia Trichopoulou; Dimitrios Trichopoulos
Journal:  Proc Nutr Soc       Date:  2002-05       Impact factor: 6.297

Review 2.  What is a cause and how do we know one? A grammar for pragmatic epidemiology.

Authors:  M Susser
Journal:  Am J Epidemiol       Date:  1991-04-01       Impact factor: 4.897

3.  Selection of controls in case-control studies. III. Design options.

Authors:  S Wacholder; D T Silverman; J K McLaughlin; J S Mandel
Journal:  Am J Epidemiol       Date:  1992-05-01       Impact factor: 4.897

Review 4.  Too many rodent carcinogens: mitogenesis increases mutagenesis.

Authors:  B N Ames; L S Gold
Journal:  Science       Date:  1990-08-31       Impact factor: 47.728

5.  The future of epidemiology.

Authors:  D Trichopoulos
Journal:  BMJ       Date:  1996-08-24

Review 6.  What do animal cancer tests tell us about human cancer risk?: Overview of analyses of the carcinogenic potency database.

Authors:  L S Gold; T H Slone; B N Ames
Journal:  Drug Metab Rev       Date:  1998-05       Impact factor: 4.518

7.  Epidemiology faces its limits.

Authors:  G Taubes
Journal:  Science       Date:  1995-07-14       Impact factor: 47.728

Review 8.  Meta-analysis: statistical alchemy for the 21st century.

Authors:  A R Feinstein
Journal:  J Clin Epidemiol       Date:  1995-01       Impact factor: 6.437

9.  Invited commentary: a critical look at some popular meta-analytic methods.

Authors:  S Greenland
Journal:  Am J Epidemiol       Date:  1994-08-01       Impact factor: 4.897

10.  Meta-analysis/Shmeta-analysis.

Authors:  S Shapiro
Journal:  Am J Epidemiol       Date:  1994-11-01       Impact factor: 4.897
View more
  6 in total

1.  Breast cancer following diethylstilbestrol exposure in utero: insights from a tragedy.

Authors:  Hans-Olov Adami; Pagona Lagiou; Dimitrios Trichopoulos
Journal:  Eur J Epidemiol       Date:  2012-01       Impact factor: 8.082

2.  Towards a more functional concept of causality in cancer research.

Authors:  Eiliv Lund; Vanessa Dumeaux
Journal:  Int J Mol Epidemiol Genet       Date:  2010-03-15

3.  Toxicology and epidemiology: improving the science with a framework for combining toxicological and epidemiological evidence to establish causal inference.

Authors:  Hans-Olov Adami; Sir Colin L Berry; Charles B Breckenridge; Lewis L Smith; James A Swenberg; Dimitrios Trichopoulos; Noel S Weiss; Timothy P Pastoor
Journal:  Toxicol Sci       Date:  2011-05-10       Impact factor: 4.849

Review 4.  Oral cancer in India continues in epidemic proportions: evidence base and policy initiatives.

Authors:  Bhawna Gupta; Anura Ariyawardana; Newell W Johnson
Journal:  Int Dent J       Date:  2012-12-13       Impact factor: 2.607

5.  Examining the Relationship between Heavy Alcohol Use and Assaults: With Adjustment for the Effects of Unmeasured Confounders.

Authors:  Wenbin Liang; Tanya Chikritzhs
Journal:  Biomed Res Int       Date:  2015-08-25       Impact factor: 3.411

6.  A proxy outcome approach for causal effect in observational studies: a simulation study.

Authors:  Wenbin Liang; Yuejen Zhao; Andy H Lee
Journal:  Biomed Res Int       Date:  2014-02-18       Impact factor: 3.411
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.