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Activity Number: 36 - Methods for Cancer Epidemiology
Type: Contributed
Date/Time: Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #330067
Title: Leukemia and Myeloid Malignancy Among Cohorts of Persons Exposed to Low Dose (<100 mSv) of Ionizing Radiation in Childhood.
Author(s): Mark P Little* and David Borrego and Ben French and Lydia B Zablotska and Jacob Adams and Rodrigue Allodji and Florent de Vathaire and Choonsik Lee and Alina V Brenner and Martha S Linet and Marie Lundell and Siegal Sadetzki and Richard Wakeford and Amy Berrington de Gonzalez and Erik Holmberg and Mark Pearce and Michele M Doody and Jeremy Miller and David Campbell
Companies: National Cancer Institute and National Cancer Institute and Radiation Effects Research Foundation and University of California San Francisco and University of Rochester School of Medicine and Dentistry and Equipe d'Epidémiologie des radiations, Unité 1018 INSERM and Equipe d'Epidémiologie des radiations, Unité 1018 INSERM and National Cancer Institute and Radiation Effects Research Foundation and National Cancer Institute and Karolinska University Hospital and Gertner Institute for Epidemiology and Health Policy Research and Centre for Occupational and Environmental Health, Institute of Population Health and National Cancer Institute and Sahlgrenska University Hospital and University of Newcastle upon Tyne, Sir James Spence Institute of Child Health and National Cancer Institute and Information Management Services and Information Management Services
Keywords: radiation; leukemia; myelodysplastic syndrome; low dose; myeloid leukemia; Poisson maximum likelihood
Abstract:

Much data link high-dose radiation exposure with excess leukemia, but the relation at low dose (<100 mSv) is uncertain. Since leukemia risks are highest after childhood exposure, we pooled nine eligible cohorts who were radiation-exposed at age <21y and restricted analysis to individuals with active bone marrow dose <100 mSv. We evaluated leukemia and myeloid neoplasms based on current and older classifications. Relative risk and generalized additive models (GAM) were fitted via Poisson maximum likelihood. Analysis of latency was performed, also tests for heterogeneity by endpoint, by cohort, and by mortality vs incidence, the results of which will be reported here.


Authors who are presenting talks have a * after their name.

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