Literature DB >> 2749072

Converting relative risks to absolute risks: a graphical approach.

W D Dupont1.   

Abstract

This paper presents a graphical method for converting relative risks to absolute risks. These absolute risk estimates are a function of the patient's current age, the patient's risk of developing cancer relative to some baseline population, the age specific cancer hazard in the baseline population, and the patient's competing mortal risk from all other causes. Graphs for breast cancer morbidity in women, cardiovascular mortality in men, and lung cancer morbidity in men illustrate the method. These graphs provide the probability of developing cancer in the next twenty years given the patient's current age and relative risk. They are derived under the proportional hazards model. A graph for lung cancer in men that uses a plausible exponential hazards model is also provided. The paper illustrates the importance of competing mortal hazard from other causes on absolute cancer risk. The strengths and weaknesses of this method are discussed. The graphs presented in this paper may be used as an aid in clinical decision making and in patient counselling.

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Year:  1989        PMID: 2749072     DOI: 10.1002/sim.4780080603

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  10 in total

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2.  Comparison of two methods for estimating absolute risk of prostate cancer based on single nucleotide polymorphisms and family history.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

3.  Estimation of absolute risk for prostate cancer using genetic markers and family history.

Authors:  Jianfeng Xu; Jielin Sun; A Karim Kader; Sara Lindström; Fredrik Wiklund; Fang-Chi Hsu; Jan-Erik Johansson; S Lilly Zheng; Gilles Thomas; Richard B Hayes; Peter Kraft; David J Hunter; Stephen J Chanock; William B Isaacs; Henrik Grönberg
Journal:  Prostate       Date:  2009-10-01       Impact factor: 4.104

4.  Additive interactions between susceptibility single-nucleotide polymorphisms identified in genome-wide association studies and breast cancer risk factors in the Breast and Prostate Cancer Cohort Consortium.

Authors:  Amit D Joshi; Sara Lindström; Anika Hüsing; Myrto Barrdahl; Tyler J VanderWeele; Daniele Campa; Federico Canzian; Mia M Gaudet; Jonine D Figueroa; Laura Baglietto; Christine D Berg; Julie E Buring; Stephen J Chanock; María-Dolores Chirlaque; W Ryan Diver; Laure Dossus; Graham G Giles; Christopher A Haiman; Susan E Hankinson; Brian E Henderson; Robert N Hoover; David J Hunter; Claudine Isaacs; Rudolf Kaaks; Laurence N Kolonel; Vittorio Krogh; Loic Le Marchand; I-Min Lee; Eiliv Lund; Catherine A McCarty; Kim Overvad; Petra H Peeters; Elio Riboli; Fredrick Schumacher; Gianluca Severi; Daniel O Stram; Malin Sund; Michael J Thun; Ruth C Travis; Dimitrios Trichopoulos; Walter C Willett; Shumin Zhang; Regina G Ziegler; Peter Kraft
Journal:  Am J Epidemiol       Date:  2014-09-25       Impact factor: 4.897

5.  Common genetic variants in prostate cancer risk prediction--results from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3).

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-01-11       Impact factor: 4.254

Review 6.  Evaluation and management of high risk and premalignant lesions of the breast.

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Journal:  World J Surg       Date:  1994 Jan-Feb       Impact factor: 3.352

Review 7.  Anatomic indicators (histologic and cytologic) of increased breast cancer risk.

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Journal:  J Behav Med       Date:  2004-04

9.  An absolute risk model to identify individuals at elevated risk for pancreatic cancer in the general population.

Authors:  Alison P Klein; Sara Lindström; Julie B Mendelsohn; Emily Steplowski; Alan A Arslan; H Bas Bueno-de-Mesquita; Charles S Fuchs; Steven Gallinger; Myron Gross; Kathy Helzlsouer; Elizabeth A Holly; Eric J Jacobs; Andrea Lacroix; Donghui Li; Margaret T Mandelson; Sara H Olson; Gloria M Petersen; Harvey A Risch; Rachael Z Stolzenberg-Solomon; Wei Zheng; Laufey Amundadottir; Demetrius Albanes; Naomi E Allen; William R Bamlet; Marie-Christine Boutron-Ruault; Julie E Buring; Paige M Bracci; Federico Canzian; Sandra Clipp; Michelle Cotterchio; Eric J Duell; Joanne Elena; J Michael Gaziano; Edward L Giovannucci; Michael Goggins; Göran Hallmans; Manal Hassan; Amy Hutchinson; David J Hunter; Charles Kooperberg; Robert C Kurtz; Simin Liu; Kim Overvad; Domenico Palli; Alpa V Patel; Kari G Rabe; Xiao-Ou Shu; Nadia Slimani; Geoffrey S Tobias; Dimitrios Trichopoulos; Stephen K Van Den Eeden; Paolo Vineis; Jarmo Virtamo; Jean Wactawski-Wende; Brian M Wolpin; Herbert Yu; Kai Yu; Anne Zeleniuch-Jacquotte; Stephen J Chanock; Robert N Hoover; Patricia Hartge; Peter Kraft
Journal:  PLoS One       Date:  2013-09-13       Impact factor: 3.240

10.  Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study.

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Journal:  PLoS Med       Date:  2018-09-04       Impact factor: 11.069

  10 in total

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