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Cha ES, Lee D, Sung H, Jang WI, Kwon TE, Jeong HY, Seo S. Risks of Circulatory Diseases among Korean Radiation Workers Exposed to Low-dose Radiation. Radiat Res 2024; 202:649-661. [PMID: 39149818 DOI: 10.1667/rade-23-00148.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 07/23/2024] [Indexed: 08/17/2024]
Abstract
High-dose radiation has been widely recognized as a risk factor for circulatory diseases. There is increasing evidence for risk of circulatory diseases in response to low and moderate radiation doses in recent years, but the results are not always consistent. We aimed to evaluate the associations between low-dose radiation exposure (<0.1 Gy) and the incidence of circulatory disease in a large cohort of Korean radiation workers. We collected data from a cohort of 187,001 radiation workers monitored for personal radiation dose since 1984 and linked with the National Health Insurance Service data from 2002 to 2021. Excess relative risks (ERRs) per 100 mGy were calculated to quantify the radiation dose-response relationship. The mean duration of follow-up was 13.3 years. A total of 12,705 cases of cerebrovascular disease (CeVD) and 19,647 cases of ischemic heart disease (IHD) were diagnosed during the follow-up period (2002-2021). The average cumulative heart dose was 4.10 mGy, ranging from 0 to 992.62 mGy. The ERR per 100 mGy with 10-year lagged cumulative heart doses was estimated at -0.094 (95% CI -0.248, 0.070) for CeVD and -0.173 (95% CI -0.299, -0.041) for IHD. The ERRs were not significantly changed after adjusting for confounding factors such as smoking, income, blood pressure, body mass index, and blood glucose level. A linear quadratic model was found to provide a better fit for the ERR of CeVD and IHD than a linear model (P = 0.009 and 0.030, respectively). There were no statistically significant variations in ERR/100 mGy estimates for either CeVD or IHD in terms of sex, attained age, and duration of employment; however, heterogeneity in the ERR/100 mGy estimates for CeVD among occupations was observed (P = 0.001). Our study did not find conclusive evidence supporting the association between occupational low-dose radiation and an increased risk of circulatory diseases. The significant negative ERR estimates for IHD need further investigation with a more extended follow-up period.
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Affiliation(s)
- Eun Shil Cha
- National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, 75 Nowon-ro, Nowon-gu, Seoul 01812, South Korea
| | - Dalnim Lee
- National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, 75 Nowon-ro, Nowon-gu, Seoul 01812, South Korea
| | - Hyoju Sung
- National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, 75 Nowon-ro, Nowon-gu, Seoul 01812, South Korea
| | - Won Il Jang
- National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, 75 Nowon-ro, Nowon-gu, Seoul 01812, South Korea
| | - Tae-Eun Kwon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Ho Yeon Jeong
- Department of Radiation Oncology, Yonsei Cancer Center, Severance Hospital, Seoul, South Korea
| | - Songwon Seo
- National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, 75 Nowon-ro, Nowon-gu, Seoul 01812, South Korea
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Martin CJ, Barnard M, de Vocht F. Evaluation of risks of cardiovascular disease from radiation exposure linked to computed tomography scans in the UK. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2024; 44:011513. [PMID: 38422514 DOI: 10.1088/1361-6498/ad2ebd] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 02/29/2024] [Indexed: 03/02/2024]
Abstract
Epidemiological studies of patient populations have shown that high doses of radiation increase risks of cardiovascular disease (CVD). Results from a recent meta-analysis of 93 epidemiological studies covering a wide range of doses provided evidence of a causal association between radiation exposure and CVD, and indicated excess relative risk per Gy for maximum dose below 500 mGy or delivered at low dose rates. These doses cover the range of organ doses expected from multiple diagnostic computed tomography (CT) scans. Dose-effect factors for the excess absolute risk of mortality from CVD following radiation exposure were derived from the meta-analysis. The present study uses these factors to estimate excess risks of mortality for various types of CVD, including cerebrovascular disease (CeVD), from CT scans of the body and head, assuming that the meta-analytic factors were accurate and represented a causal relationship. Estimates are based on cumulative doses to the heart and brain from CT scans performed on 105 574 patients on 12 CT scanners over a period of 5½ years. The results suggest that the excess number of deaths from CeVD could be 7 or 26 per 100 000 patients depending whether threshold brain doses of 200 mGy or 50 mGy, respectively are assumed. These results could have implications for head CT scans. However, the results rely on the validity of risk factors derived in the meta-analysis informing this assessment and which include significant uncertainties. Further incidence studies should provide better information on risk factors and dose thresholds, particularly for CeVD following head CT scans.
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Affiliation(s)
- Colin J Martin
- Department of Clinical Physics and Bioengineering, University of Glasgow, Glasgow, United Kingdom
| | - Michael Barnard
- Department of Radiation Physics and Protection, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Frank de Vocht
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Applied Research Collaboration West (ARC West), Bristol, United Kingdom
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Hamada N. Noncancer Effects of Ionizing Radiation Exposure on the Eye, the Circulatory System and beyond: Developments made since the 2011 ICRP Statement on Tissue Reactions. Radiat Res 2023; 200:188-216. [PMID: 37410098 DOI: 10.1667/rade-23-00030.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/13/2023] [Indexed: 07/07/2023]
Abstract
For radiation protection purposes, noncancer effects with a threshold-type dose-response relationship have been classified as tissue reactions (formerly called nonstochastic or deterministic effects), and equivalent dose limits aim to prevent occurrence of such tissue reactions. Accumulating evidence demonstrates increased risks for several late occurring noncancer effects at doses and dose rates much lower than previously considered. In 2011, the International Commission on Radiological Protection (ICRP) issued a statement on tissue reactions to recommend a threshold of 0.5 Gy to the lens of the eye for cataracts and to the heart and brain for diseases of the circulatory system (DCS), independent of dose rate. Literature published thereafter continues to provide updated knowledge. Increased risks for cataracts below 0.5 Gy have been reported in several cohorts (e.g., including in those receiving protracted or chronic exposures). A dose threshold for cataracts is less evident with longer follow-up, with limited evidence available for risk of cataract removal surgery. There is emerging evidence for risk of normal-tension glaucoma and diabetic retinopathy, but the long-held tenet that the lens represents among the most radiosensitive tissues in the eye and in the body seems to remain unchanged. For DCS, increased risks have been reported in various cohorts, but the existence or otherwise of a dose threshold is unclear. The level of risk is less uncertain at lower dose and lower dose rate, with the possibility that risk per unit dose is greater at lower doses and dose rates. Target organs and tissues for DCS are also unknown, but may include heart, large blood vessels and kidneys. Identification of potential factors (e.g., sex, age, lifestyle factors, coexposures, comorbidities, genetics and epigenetics) that may modify radiation risk of cataracts and DCS would be important. Other noncancer effects on the radar include neurological effects (e.g., Parkinson's disease, Alzheimer's disease and dementia) of which elevated risk has increasingly been reported. These late occurring noncancer effects tend to deviate from the definition of tissue reactions, necessitating more scientific developments to reconsider the radiation effect classification system and risk management. This paper gives an overview of historical developments made in ICRP prior to the 2011 statement and an update on relevant developments made since the 2011 ICRP statement.
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Affiliation(s)
- Nobuyuki Hamada
- Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Chiba, Japan
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Little MP, Azizova TV, Richardson DB, Tapio S, Bernier MO, Kreuzer M, Cucinotta FA, Bazyka D, Chumak V, Ivanov VK, Veiga LHS, Livinski A, Abalo K, Zablotska LB, Einstein AJ, Hamada N. Ionising radiation and cardiovascular disease: systematic review and meta-analysis. BMJ 2023; 380:e072924. [PMID: 36889791 PMCID: PMC10535030 DOI: 10.1136/bmj-2022-072924] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2023] [Indexed: 03/10/2023]
Abstract
OBJECTIVE To systematically review and perform a meta-analysis of radiation associated risks of cardiovascular disease in all groups exposed to radiation with individual radiation dose estimates. DESIGN Systematic review and meta-analysis. MAIN OUTCOME MEASURES Excess relative risk per unit dose (Gy), estimated by restricted maximum likelihood methods. DATA SOURCES PubMed and Medline, Embase, Scopus, Web of Science Core collection databases. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Databases were searched on 6 October 2022, with no limits on date of publication or language. Animal studies and studies without an abstract were excluded. RESULTS The meta-analysis yielded 93 relevant studies. Relative risk per Gy increased for all cardiovascular disease (excess relative risk per Gy of 0.11 (95% confidence interval 0.08 to 0.14)) and for the four major subtypes of cardiovascular disease (ischaemic heart disease, other heart disease, cerebrovascular disease, all other cardiovascular disease). However, interstudy heterogeneity was noted (P<0.05 for all endpoints except for other heart disease), possibly resulting from interstudy variation in unmeasured confounders or effect modifiers, which is markedly reduced if attention is restricted to higher quality studies or those at moderate doses (<0.5 Gy) or low dose rates (<5 mGy/h). For ischaemic heart disease and all cardiovascular disease, risks were larger per unit dose for lower dose (inverse dose effect) and for fractionated exposures (inverse dose fractionation effect). Population based excess absolute risks are estimated for a number of national populations (Canada, England and Wales, France, Germany, Japan, USA) and range from 2.33% per Gy (95% confidence interval 1.69% to 2.98%) for England and Wales to 3.66% per Gy (2.65% to 4.68%) for Germany, largely reflecting the underlying rates of cardiovascular disease mortality in these populations. Estimated risk of mortality from cardiovascular disease are generally dominated by cerebrovascular disease (around 0.94-1.26% per Gy), with the next largest contribution from ischaemic heart disease (around 0.30-1.20% per Gy). CONCLUSIONS Results provide evidence supporting a causal association between radiation exposure and cardiovascular disease at high dose, and to a lesser extent at low dose, with some indications of differences in risk between acute and chronic exposures, which require further investigation. The observed heterogeneity complicates a causal interpretation of these findings, although this heterogeneity is much reduced if only higher quality studies or those at moderate doses or low dose rates are considered. Studies are needed to assess in more detail modifications of radiation effect by lifestyle and medical risk factors. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020202036.
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Affiliation(s)
- Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Tamara V Azizova
- Clinical Department, Southern Urals Biophysics Institute, Ozyorsk, Chelyabinsk Region, Russia
| | - David B Richardson
- Department of Environmental and Occupational Health, Irvine Program in Public Health, University of California Irvine, Irvine, CA, USA
| | - Soile Tapio
- Technische Universität München, Munich, Germany
| | - Marie-Odile Bernier
- Institut de Radioprotection et de Sureté Nucléaire, Fontenay aux Roses, France
| | | | - Francis A Cucinotta
- Department of Health Physics and Diagnostic Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Dimitry Bazyka
- National Research Center for Radiation Medicine, National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine
| | - Vadim Chumak
- National Research Center for Radiation Medicine, National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine
| | - Victor K Ivanov
- Medical Radiological Research Center of Russian Academy of Medical Sciences, Obninsk, Russia
| | - Lene H S Veiga
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Alicia Livinski
- National Institutes of Health Library, National Institutes of Health, Bethesda, MD, USA
| | - Kossi Abalo
- Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet, Stockholm, Sweden
- Department of Immunology Genetics and Pathology, Cancer Precision Medicine, Uppsala University, Uppsala, Sweden
| | - Lydia B Zablotska
- Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Andrew J Einstein
- Seymour, Paul, and Gloria Milstein Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center/New York-Presbyterian Hospital, New York, NY, USA
| | - Nobuyuki Hamada
- Biology and Environmental Chemistry Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Komae, Tokyo, Japan
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Stabilini A, Hafner L, Walsh L. Comparison and multi-model inference of excess risks models for radiation-related solid cancer. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2023; 62:17-34. [PMID: 36680572 PMCID: PMC9950237 DOI: 10.1007/s00411-022-01013-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
In assessments of detrimental health risks from exposures to ionising radiation, many forms of risk to dose-response models are available in the literature. The usual practice is to base risk assessment on one specific model and ignore model uncertainty. The analysis illustrated here considers model uncertainty for the outcome all solid cancer incidence, when modelled as a function of colon organ dose, using the most recent publicly available data from the Life Span Study on atomic bomb survivors of Japan. Seven recent publications reporting all solid cancer risk models currently deemed plausible by the scientific community have been included in a model averaging procedure so that the main conclusions do not depend on just one type of model. The models have been estimated with different baselines and presented for males and females at various attained ages and ages at exposure, to obtain specially computed model-averaged Excess Relative Risks (ERR) and Excess Absolute Risks (EAR). Monte Carlo simulated estimation of uncertainty on excess risks was accounted for by applying realisations including correlations in the risk model parameters. Three models were found to weight the model-averaged risks most strongly depending on the baseline and information criteria used for the weighting. Fitting all excess risk models with the same baseline, one model dominates for both information criteria considered in this study. Based on the analysis presented here, it is generally recommended to take model uncertainty into account in future risk analyses.
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Affiliation(s)
- Alberto Stabilini
- Swiss Federal Nuclear Safety Inspectorate ENSI, Industriestrasse 19, 5201, Brugg, Switzerland
- Department of Radiation Safety and Security, Paul Scherrer Institute, Forschungsstrasse 111, 5232, Villigen PSI, Switzerland
| | - Luana Hafner
- Swiss Federal Nuclear Safety Inspectorate ENSI, Industriestrasse 19, 5201, Brugg, Switzerland.
| | - Linda Walsh
- Department of Physics, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
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Little MP, Azizova TV, Hamada N. Low- and moderate-dose non-cancer effects of ionizing radiation in directly exposed individuals, especially circulatory and ocular diseases: a review of the epidemiology. Int J Radiat Biol 2021; 97:782-803. [PMID: 33471563 PMCID: PMC10656152 DOI: 10.1080/09553002.2021.1876955] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 12/24/2020] [Accepted: 01/09/2021] [Indexed: 01/29/2023]
Abstract
PURPOSE There are well-known correlations between high and moderate doses (>0.5 Gy) of ionizing radiation exposure and circulatory system damage, also between radiation and posterior subcapsular cataract. At lower dose correlations with circulatory disease are emerging in the Japanese atomic bomb survivors and in some occupationally exposed groups, and are still to some extent controversial. Heterogeneity in excess relative risks per unit dose in epidemiological studies at low (<0.1 Gy) and at low-moderate (>0.1 Gy, <0.5 Gy) doses may result from confounding and other types of bias, and effect modification by established risk factors. There is also accumulating evidence of excess cataract risks at lower dose and low dose rate in various cohorts. Other ocular endpoints, specifically glaucoma and macular degeneration have been little studied. In this paper, we review recent epidemiological findings, and also discuss some of the underlying radiobiology of these conditions. We briefly review some other types of mainly neurological nonmalignant disease in relation to radiation exposure. CONCLUSIONS We document statistically significant excess risk of the major types of circulatory disease, specifically ischemic heart disease and stroke, in moderate- or low-dose exposed groups, with some not altogether consistent evidence suggesting dose-response non-linearity, particularly for stroke. However, the patterns of risk reported are not straightforward. We also document evidence of excess risks at lower doses/dose-rates of posterior subcapsular and cortical cataract in the Chernobyl liquidators, US Radiologic Technologists and Russian Mayak nuclear workers, with fundamentally linear dose-response. Nuclear cataracts are less radiogenic. For other ocular endpoints, specifically glaucoma and macular degeneration there is very little evidence of effects at low doses; radiation-associated glaucoma has been documented only for doses >5 Gy, and so has the characteristics of a tissue reaction. There is some evidence of neurological detriment following low-moderate dose (∼0.1-0.2 Gy) radiation exposure in utero or in early childhood.
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Affiliation(s)
- Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Tamara V Azizova
- Clinical Department, Southern Urals Biophysics Institute, Ozyorsk, Ozyorsk Chelyabinsk Region, Russia
| | - Nobuyuki Hamada
- Radiation Safety Research Center, Nuclear Technology Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Komae, Tokyo, Japan
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Milder CM, Kendall GM, Arsham A, Schöllnberger H, Wakeford R, Cullings HM, Little MP. Summary of Radiation Research Society Online 66th Annual Meeting, Symposium on "Epidemiology: Updates on epidemiological low dose studies," including discussion. Int J Radiat Biol 2021; 97:866-873. [PMID: 33395353 PMCID: PMC8165006 DOI: 10.1080/09553002.2020.1867326] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/04/2020] [Accepted: 12/16/2020] [Indexed: 12/19/2022]
Affiliation(s)
- Cato M Milder
- Space Radiation Analysis Group, NASA Johnson Space Center, 2101 E NASA Pkwy, Houston, TX 77058 USA
| | - Gerald M Kendall
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Headington, Oxford, OX3 7LF, UK
| | - Aryana Arsham
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892-9778, USA
| | - Helmut Schöllnberger
- Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany
| | - Richard Wakeford
- Centre for Occupational and Environmental Health, Faculty of Biology, Medicine and Health, The University of Manchester, Ellen Wilkinson Building, Oxford Road, Manchester, M13 9PL, UK
| | - Harry M Cullings
- Department of Statistics, Radiation Effects Research Foundation, 5-2 Hijiyama Park, Minami-ku, Hiroshima, Japan 732-0815
| | - Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892-9778, USA
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Rühm W, Breckow J, Dietze G, Friedl A, Greinert R, Jacob P, Kistinger S, Michel R, Müller WU, Otten H, Streffer C, Weiss W. Dose limits for occupational exposure to ionising radiation and genotoxic carcinogens: a German perspective. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2020; 59:9-27. [PMID: 31677018 DOI: 10.1007/s00411-019-00817-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 10/14/2019] [Indexed: 06/10/2023]
Abstract
This paper summarises the view of the German Commission on Radiological Protection ("Strahlenschutzkommission", SSK) on the rationale behind the currently valid dose limits and dose constraints for workers recommended by the International Commission on Radiological Protection (ICRP). The paper includes a discussion of the reasoning behind current dose limits followed by a discussion of the detriment used by ICRP as a measure for stochastic health effects. Studies on radiation-induced cancer are reviewed because this endpoint represents the most important contribution to detriment. Recent findings on radiation-induced circulatory disease that are currently not included in detriment calculation are also reviewed. It appeared that for detriment calculations the contribution of circulatory diseases plays only a secondary role, although the uncertainties involved in their risk estimates are considerable. These discussions are complemented by a review of the procedures currently in use in Germany, or in discussion elsewhere, to define limits for genotoxic carcinogens. To put these concepts in perspective, actual occupational radiation exposures are exemplified with data from Germany, for the year 2012, and regulations in Germany are compared to the recommendations issued by ICRP. Conclusions include, among others, considerations on radiation protection concepts currently in use and recommendations of the SSK on the limitation of annual effective dose and effective dose cumulated over a whole working life.
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Affiliation(s)
- Werner Rühm
- Helmholtz Zentrum München, Institute of Radiation Therapy, Ingolstädter Landstr. 1, 85764, Oberschleißheim, Germany.
| | | | - Günter Dietze
- Physikalisch-Technische Bundesanstalt, Braunschweig, Germany
| | - Anna Friedl
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | | | - Peter Jacob
- Helmholtz Zentrum München, Neuherberg, Germany
| | | | | | | | - Heinz Otten
- Deutsche Gesetzliche Unfallversicherung, Berlin, Germany
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Schöllnberger H, Kaiser JC, Eidemüller M, Zablotska LB. Radio-biologically motivated modeling of radiation risks of mortality from ischemic heart diseases in the Canadian fluoroscopy cohort study. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2020; 59:63-78. [PMID: 31781840 DOI: 10.1007/s00411-019-00819-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Accepted: 10/24/2019] [Indexed: 06/10/2023]
Abstract
Recent analyses of the Canadian fluoroscopy cohort study reported significantly increased radiation risks of mortality from ischemic heart diseases (IHD) with a linear dose-response adjusted for dose fractionation. This cohort includes 63,707 tuberculosis patients from Canada who were exposed to low-to-moderate dose fractionated X-rays in 1930s-1950s and were followed-up for death from non-cancer causes during 1950-1987. In the current analysis, we scrutinized the assumption of linearity by analyzing a series of radio-biologically motivated nonlinear dose-response models to get a better understanding of the impact of radiation damage on IHD. The models were weighted according to their quality of fit and were then mathematically superposed applying the multi-model inference (MMI) technique. Our results indicated an essentially linear dose-response relationship for IHD mortality at low and medium doses and a supra-linear relationship at higher doses (> 1.5 Gy). At 5 Gy, the estimated radiation risks were fivefold higher compared to the linear no-threshold (LNT) model. This is the largest study of patients exposed to fractionated low-to-moderate doses of radiation. Our analyses confirm previously reported significantly increased radiation risks of IHD from doses similar to those from diagnostic radiation procedures.
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Affiliation(s)
- Helmut Schöllnberger
- Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.
- Division UR-Environmental Radioactivity, Federal Office for Radiation Protection, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.
| | - Jan Christian Kaiser
- Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Markus Eidemüller
- Department of Radiation Sciences, Institute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Lydia B Zablotska
- Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, San Francisco, CA, 94158, USA
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Wu Y, Hoffman FO, Apostoaei AI, Kwon D, Thomas BA, Glass R, Zablotska LB. Methods to account for uncertainties in exposure assessment in studies of environmental exposures. Environ Health 2019; 18:31. [PMID: 30961632 PMCID: PMC6454753 DOI: 10.1186/s12940-019-0468-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 03/20/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Accurate exposure estimation in environmental epidemiological studies is crucial for health risk assessment. Failure to account for uncertainties in exposure estimation could lead to biased results in exposure-response analyses. Assessment of the effects of uncertainties in exposure estimation on risk estimates received a lot of attention in radiation epidemiology and in several studies of diet and air pollution. The objective of this narrative review is to examine the commonly used statistical approaches to account for exposure estimation errors in risk analyses and to suggest how each could be applied in environmental epidemiological studies. MAIN TEXT We review two main error types in estimating exposures in epidemiological studies: shared and unshared errors and their subtypes. We describe the four main statistical approaches to adjust for exposure estimation uncertainties (regression calibration, simulation-extrapolation, Monte Carlo maximum likelihood and Bayesian model averaging) along with examples to give readers better understanding of their advantages and limitations. We also explain the advantages of using a 2-dimensional Monte-Carlo (2DMC) simulation method to quantify the effect of uncertainties in exposure estimates using full-likelihood methods. For exposures that are estimated independently between subjects and are more likely to introduce unshared errors, regression calibration and SIMEX methods are able to adequately account for exposure uncertainties in risk analyses. When an uncalibrated measuring device is used or estimation parameters with uncertain mean values are applied to a group of people, shared errors could potentially be large. In this case, Monte Carlo maximum likelihood and Bayesian model averaging methods based on estimates of exposure from the 2DMC simulations would work well. The majority of reviewed studies show relatively moderate changes (within 100%) in risk estimates after accounting for uncertainties in exposure estimates, except for the two studies which doubled/tripled naïve estimates. CONCLUSIONS In this paper, we demonstrate various statistical methods to account for uncertain exposure estimates in risk analyses. The differences in the results of various adjustment methods could be due to various error structures in datasets and whether or not a proper statistical method was applied. Epidemiological studies of environmental exposures should include exposure-response analyses accounting for uncertainties in exposure estimates.
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Affiliation(s)
- You Wu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, 2nd floor, Box 0560, San Francisco, CA 94143 USA
- Center for Design and Analysis, Amgen, Inc., 1 Amgen Center Dr., Thousand Oaks, CA 91320 USA
| | - F. Owen Hoffman
- Oak Ridge Center for Risk Analysis, Inc., 102 Donner Drive, Oak Ridge, TN USA
| | - A. Iulian Apostoaei
- Oak Ridge Center for Risk Analysis, Inc., 102 Donner Drive, Oak Ridge, TN USA
| | - Deukwoo Kwon
- Sylvester Comprehensive Cancer Center, University of Miami, 1475 NW 12th Avenue, Miami, FL USA
| | - Brian A. Thomas
- Oak Ridge Center for Risk Analysis, Inc., 102 Donner Drive, Oak Ridge, TN USA
| | - Racquel Glass
- Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, 2nd floor, Box 0560, San Francisco, CA 94143 USA
| | - Lydia B. Zablotska
- Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, 2nd floor, Box 0560, San Francisco, CA 94143 USA
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11
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Schöllnberger H, Eidemüller M, Cullings HM, Simonetto C, Neff F, Kaiser JC. Dose-responses for mortality from cerebrovascular and heart diseases in atomic bomb survivors: 1950-2003. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2018; 57:17-29. [PMID: 29222678 PMCID: PMC6373359 DOI: 10.1007/s00411-017-0722-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 11/23/2017] [Indexed: 05/04/2023]
Abstract
The scientific community faces important discussions on the validity of the linear no-threshold (LNT) model for radiation-associated cardiovascular diseases at low and moderate doses. In the present study, mortalities from cerebrovascular diseases (CeVD) and heart diseases from the latest data on atomic bomb survivors were analyzed. The analysis was performed with several radio-biologically motivated linear and nonlinear dose-response models. For each detrimental health outcome one set of models was identified that all fitted the data about equally well. This set was used for multi-model inference (MMI), a statistical method of superposing different models to allow risk estimates to be based on several plausible dose-response models rather than just relying on a single model of choice. MMI provides a more accurate determination of the dose response and a more comprehensive characterization of uncertainties. It was found that for CeVD, the dose-response curve from MMI is located below the linear no-threshold model at low and medium doses (0-1.4 Gy). At higher doses MMI predicts a higher risk compared to the LNT model. A sublinear dose-response was also found for heart diseases (0-3 Gy). The analyses provide no conclusive answer to the question whether there is a radiation risk below 0.75 Gy for CeVD and 2.6 Gy for heart diseases. MMI suggests that the dose-response curves for CeVD and heart diseases in the Lifespan Study are sublinear at low and moderate doses. This has relevance for radiotherapy treatment planning and for international radiation protection practices in general.
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Affiliation(s)
- Helmut Schöllnberger
- Department of Radiation Sciences, Institute of Radiation Protection, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.
- Department of Radiation Protection and the Environment, Federal Office for Radiation Protection, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany.
| | - Markus Eidemüller
- Department of Radiation Sciences, Institute of Radiation Protection, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Harry M Cullings
- Department of Statistics, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Cristoforo Simonetto
- Department of Radiation Sciences, Institute of Radiation Protection, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
| | - Frauke Neff
- Institute of Pathology, Städtisches Klinikum München and Technical University of Munich, Munich, Germany
| | - Jan Christian Kaiser
- Department of Radiation Sciences, Institute of Radiation Protection, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764, Neuherberg, Germany
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12
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Furukawa K, Misumi M. A semiparametric approach to evaluate the harm of low-dose exposures. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2018; 38:286-298. [PMID: 29303484 DOI: 10.1088/1361-6498/aaa57c] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
While moderate to high levels of radiation exposure is known to cause adverse health effects, there is still controversy about the lowest dose that could be harmful. Given that epidemiological studies of practical sizes are unlikely to provide sufficient statistical power to detect a small risk in the low-dose range of concern, greater emphasis should be given to evaluating low-dose risk uncertainty. Using simulations under various dose-response relationships with a threshold, we show that a conventional approach based on simple parametric models (e.g. the linear model with or without a threshold) can be inefficient, biased and/or inaccurate in uncertainty evaluations at low doses. Alternatively, we consider a Bayesian semiparametric model of a connected piecewise-linear function allowing for autocorrelations between adjacent line sections. With no specific assumption, this can describe various plausible dose-response curves while appropriately handling the risk uncertainty. In particular, it can relatively accurately evaluate the dose range in which a threshold might exist, while retaining statistical power for a small risk increase after the threshold. As an illustration, we analyse cancer incidence data of Japanese atomic bomb survivors, a primary epidemiological source of quantitative risk estimates for health effects from radiation exposure.
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Affiliation(s)
- Kyoji Furukawa
- Department of Statistics, Radiation Effects Research Foundation, Japan
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13
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Baselet B, Rombouts C, Benotmane AM, Baatout S, Aerts A. Cardiovascular diseases related to ionizing radiation: The risk of low-dose exposure (Review). Int J Mol Med 2016; 38:1623-1641. [PMID: 27748824 PMCID: PMC5117755 DOI: 10.3892/ijmm.2016.2777] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 09/07/2016] [Indexed: 12/27/2022] Open
Abstract
Traditionally, non-cancer diseases are not considered as health risks following exposure to low doses of ionizing radiation. Indeed, non-cancer diseases are classified as deterministic tissue reactions, which are characterized by a threshold dose. It is judged that below an absorbed dose of 100 mGy, no clinically relevant tissue damage occurs, forming the basis for the current radiation protection system concerning non-cancer effects. Recent epidemiological findings point, however, to an excess risk of non-cancer diseases following exposure to lower doses of ionizing radiation than was previously thought. The evidence is the most sound for cardiovascular disease (CVD) and cataract. Due to limited statistical power, the dose-risk relationship is undetermined below 0.5 Gy; however, if this relationship proves to be without a threshold, it may have considerable impact on current low-dose health risk estimates. In this review, we describe the CVD risk related to low doses of ionizing radiation, the clinical manifestation and the pathology of radiation-induced CVD, as well as the importance of the endothelium models in CVD research as a way forward to complement the epidemiological data with the underlying biological and molecular mechanisms.
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Affiliation(s)
- Bjorn Baselet
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK•CEN), Mol, Belgium
| | - Charlotte Rombouts
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK•CEN), Mol, Belgium
| | - Abderrafi Mohammed Benotmane
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK•CEN), Mol, Belgium
| | - Sarah Baatout
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK•CEN), Mol, Belgium
| | - An Aerts
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK•CEN), Mol, Belgium
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14
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Little MP. Radiation and circulatory disease. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2016; 770:299-318. [PMID: 27919337 PMCID: PMC5315567 DOI: 10.1016/j.mrrev.2016.07.008] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Revised: 07/23/2016] [Accepted: 07/25/2016] [Indexed: 11/15/2022]
Abstract
Exposure to therapeutic doses of ionizing radiation is associated with damage to the heart and coronary arteries. However, only recently have studies with high-quality individual dosimetry data allowed this risk to be quantified while also adjusting for concomitant chemotherapy, and medical and lifestyle risk factors. At lower levels of exposure the evidence is less clear. In this article I review radiation-associated risks of circulatory disease in groups treated with radiotherapy for malignant and non-malignant disease, and in occupationally- or environmentally-exposed groups receiving rather lower levels of radiation dose, also for medical diagnostic purposes. Results of a meta-analysis suggest that excess relative risks per unit dose for various types of heart disease do not exhibit statistically significant (p>0.2) heterogeneity between studies. Although there are no marked discrepancies between risks derived from the high-dose therapeutic and medical diagnostic studies and from the moderate/low dose occupational and environmental studies, at least for ischemic heart disease and stroke there are indications of larger risks per unit dose for lower dose rate and fractionated exposures. Risks for stroke and other types of circulatory disease are significantly more variable (p<0.0001), possibly resulting from confounding and effect-modification by well known (but unobserved) risk factors. Adjustment for any of mean dose, dose fractionation or age at exposure results in the residual heterogeneity for cerebrovascular disease becoming non-significant. The review provides strong evidence in support of a causal association between both low and high dose radiation exposure and most types of circulatory disease.
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Affiliation(s)
- Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD 20892-9778, USA.
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15
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Dobrzyński L, Fornalski KW, Socol Y, Reszczyńska JM. Modeling of Irradiated Cell Transformation: Dose- and Time-Dependent Effects. Radiat Res 2016; 186:396-406. [DOI: 10.1667/rr14302.1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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16
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Little MP, Lipshultz SE. Low dose radiation and circulatory diseases: a brief narrative review. CARDIO-ONCOLOGY (LONDON, ENGLAND) 2015; 1:4. [PMID: 33530149 PMCID: PMC7837141 DOI: 10.1186/s40959-015-0007-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Accepted: 10/30/2015] [Indexed: 11/10/2022]
Abstract
Exposure to high doses of ionizing radiation is associated with damage to the heart and coronary arteries. However, only recently have studies with high-quality individual dosimetry data allowed this risk to be estimated while adjusting for concomitant chemotherapy. An association between lower dose exposures and late-occurring circulatory disease has only recently been suspected in the Japanese atomic bomb survivors and in various occupationally exposed cohorts and is still controversial. Excess relative risks per unit dose in moderate- and low-dose epidemiological studies are variable, possibly resulting from confounding and effect-modification by well known (but unobserved) risk factors. Here, we summarize the evidence for a causal association between moderate- and low-level radiation exposure (whether at high or low dose rates) and circulatory disease.
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Affiliation(s)
- Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, Bethesda, MD, 20892-9778, USA.
- National Cancer Institute, Room 7E546, 9609 Medical Center Drive, MSC 9778, Rockville, MD, 20892-9778, USA.
| | - Steven E Lipshultz
- Department of Pediatrics, Wayne State University School of Medicine and Children's Hospital of Michigan, Detroit, MI, 48201-2196, USA
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17
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Schöllnberger H, Ozasa K, Neff F, Kaiser JC. Cardiovascular disease mortality of A-bomb survivors and the healthy survivor selection effect. RADIATION PROTECTION DOSIMETRY 2015; 166:320-3. [PMID: 25948837 DOI: 10.1093/rpd/ncv303] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The latest A-bomb survivor data for cardiovascular diseases are analysed to investigate whether in the first years after the bombings the baseline rates of proximal survivors were markedly different compared with those of the distal survivors. This phenomenon relates to a healthy survivor selection effect. This question is important for the decision whether to include or exclude the early years of follow-up when analysing the biological effects from acute low and high dose exposures following the nuclear weapons explosions in Hiroshima and Nagasaki. The present study shows that for cerebrovascular diseases and heart diseases the baseline rates are not significantly different in the first two decades of follow-up. Thus, for these two detrimental health outcomes, there is no need to exclude distal survivors and the first decades of follow-up time when investigating the shapes of the related dose-responses.
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Affiliation(s)
- H Schöllnberger
- Department of Radiation Sciences, Institute of Radiation Protection, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
| | - K Ozasa
- Department of Epidemiology, Radiation Effects Research Foundation, 5-2 Hijiyama-koen, Minami-ku, Hiroshima 732-0815, Japan
| | - F Neff
- Institute of Pathology, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
| | - J C Kaiser
- Department of Radiation Sciences, Institute of Radiation Protection, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany
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18
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Circulatory disease mortality in the Massachusetts tuberculosis fluoroscopy cohort study. Eur J Epidemiol 2015; 31:287-309. [DOI: 10.1007/s10654-015-0075-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2014] [Accepted: 07/21/2015] [Indexed: 02/07/2023]
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19
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Allodji RS, Schwartz B, Diallo I, Agbovon C, Laurier D, de Vathaire F. Simulation-extrapolation method to address errors in atomic bomb survivor dosimetry on solid cancer and leukaemia mortality risk estimates, 1950-2003. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2015; 54:273-283. [PMID: 25894839 DOI: 10.1007/s00411-015-0594-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2014] [Accepted: 04/04/2015] [Indexed: 06/04/2023]
Abstract
Analyses of the Life Span Study (LSS) of Japanese atomic bombing survivors have routinely incorporated corrections for additive classical measurement errors using regression calibration. Recently, several studies reported that the efficiency of the simulation-extrapolation method (SIMEX) is slightly more accurate than the simple regression calibration method (RCAL). In the present paper, the SIMEX and RCAL methods have been used to address errors in atomic bomb survivor dosimetry on solid cancer and leukaemia mortality risk estimates. For instance, it is shown that using the SIMEX method, the ERR/Gy is increased by an amount of about 29 % for all solid cancer deaths using a linear model compared to the RCAL method, and the corrected EAR 10(-4) person-years at 1 Gy (the linear terms) is decreased by about 8 %, while the corrected quadratic term (EAR 10(-4) person-years/Gy(2)) is increased by about 65 % for leukaemia deaths based on a linear-quadratic model. The results with SIMEX method are slightly higher than published values. The observed differences were probably due to the fact that with the RCAL method the dosimetric data were partially corrected, while all doses were considered with the SIMEX method. Therefore, one should be careful when comparing the estimated risks and it may be useful to use several correction techniques in order to obtain a range of corrected estimates, rather than to rely on a single technique. This work will enable to improve the risk estimates derived from LSS data, and help to make more reliable the development of radiation protection standards.
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Affiliation(s)
- Rodrigue S Allodji
- Radiation Epidemiology Group/CESP - Unit 1018 INSERM, Gustave Roussy B2M, 114, rue Edouard Vaillant, 94805, Villejuif Cedex, France,
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20
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Cerebrovascular Diseases in Workers at Mayak PA: The Difference in Radiation Risk between Incidence and Mortality. PLoS One 2015; 10:e0125904. [PMID: 25933038 PMCID: PMC4416824 DOI: 10.1371/journal.pone.0125904] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Accepted: 03/21/2015] [Indexed: 01/24/2023] Open
Abstract
A detailed analysis of cerebrovascular diseases (CeVD) for the cohort of workers at Mayak Production Association (PA) is presented. This cohort is especially suitable for the analysis of radiation induced circulatory diseases, due to the detailed medical surveillance and information on several risk factors. The risk after external, typically protracted, gamma exposure is analysed, accounting for potential additional internal alpha exposure. Three different endpoints have been investigated: incidence and mortality from all cerebrovascular diseases and incidence of stroke. Particular emphasis was given to the form of the dose-response relationship and the time dependence of the radiation induced risk. Young attained age was observed to be an important, aggravating modifier of radiation risk for incidence of CeVD and stroke. For incidence of CeVD, our analysis supports a dose response sub-linear for low doses. Finally, the excess relative risk per dose was confirmed to be significantly higher for incidence of CeVD compared to CeVD mortality and incidence of stroke. Arguments are presented for this difference to be based on a true biological effect.
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21
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Rombouts C, Aerts A, Quintens R, Baselet B, El-Saghire H, Harms-Ringdahl M, Haghdoost S, Janssen A, Michaux A, Yentrapalli R, Benotmane MA, Van Oostveldt P, Baatout S. Transcriptomic profiling suggests a role for IGFBP5 in premature senescence of endothelial cells after chronic low dose rate irradiation. Int J Radiat Biol 2014; 90:560-74. [PMID: 24646080 DOI: 10.3109/09553002.2014.905724] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE Ionizing radiation has been recognized to increase the risk of cardiovascular diseases (CVD). However, there is no consensus concerning the dose-risk relationship for low radiation doses and a mechanistic understanding of low dose effects is needed. MATERIAL AND METHODS Previously, human umbilical vein endothelial cells (HUVEC) were exposed to chronic low dose rate radiation (1.4 and 4.1 mGy/h) during one, three and six weeks which resulted in premature senescence in cells exposed to 4.1 mGy/h. To gain more insight into the underlying signaling pathways, we analyzed gene expression changes in these cells using microarray technology. The obtained data were analyzed in a dual approach, combining single gene expression analysis and Gene Set Enrichment Analysis. RESULTS An early stress response was observed after one week of exposure to 4.1 mGy/h which was replaced by a more inflammation-related expression profile after three weeks and onwards. This early stress response may trigger the radiation-induced premature senescence previously observed in HUVEC irradiated with 4.1 mGy/h. A dedicated analysis pointed to the involvement of insulin-like growth factor binding protein 5 (IGFBP5) signaling in radiation-induced premature senescence. CONCLUSION Our findings motivate further research on the shape of the dose-response and the dose rate effect for radiation-induced vascular senescence.
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Affiliation(s)
- Charlotte Rombouts
- Radiobiology Unit, Belgian Nuclear Research Centre, SCK•CEN , Mol , Belgium
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22
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Vengosh A, Hirschfeld D, Vinson D, Dwyer G, Raanan H, Marie A, Zaarur S, Ganor J. Response to Comment on "High naturally occurring radioactivity in fossil groundwater from the Middle East". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2014; 48:9946-9947. [PMID: 25078393 DOI: 10.1021/es501140b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Affiliation(s)
- Avner Vengosh
- Nicholas School of the Environment, Box 90227, Duke University Durham , North Carolina 27708, United States
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23
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Simonetto C, Azizova TV, Grigoryeva ES, Kaiser JC, Schöllnberger H, Eidemüller M. Ischemic heart disease in workers at Mayak PA: latency of incidence risk after radiation exposure. PLoS One 2014; 9:e96309. [PMID: 24828606 PMCID: PMC4020749 DOI: 10.1371/journal.pone.0096309] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Accepted: 04/06/2014] [Indexed: 12/31/2022] Open
Abstract
We present an updated analysis of incidence and mortality from atherosclerotic induced ischemic heart diseases in the cohort of workers at the Mayak Production Association (PA). This cohort constitutes one of the most important sources for the assessment of radiation risk. It is exceptional because it comprises information on several other risk factors. While most of the workers have been exposed to external gamma radiation, a large proportion has additionally been exposed to internal radiation from inhaled plutonium. Compared to a previous study by Azizova et al. 2012, the updated dosimetry system MWDS-2008 has been applied and methods of analysis have been revised. We extend the analysis of the significant incidence risk and observe that main detrimental effects of external radiation exposure occur after more than about 30 years. For mortality, significant risk was found in males with an excess relative risk per dose of 0.09 (95% CI: 0.02; 0.16) [Formula: see text] while risk was insignificant for females. With respect to internal radiation exposure no association to risk could be established.
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Affiliation(s)
- Cristoforo Simonetto
- Helmholtz Zentrum München, Department of Radiation Sciences, Neuherberg, Germany
- * E-mail:
| | - Tamara V. Azizova
- Southern Urals Biophysics Institute (SUBI), Ozyorsk, Chelyabinsk Region, Russia
| | | | - Jan C. Kaiser
- Helmholtz Zentrum München, Department of Radiation Sciences, Neuherberg, Germany
| | - Helmut Schöllnberger
- Helmholtz Zentrum München, Department of Radiation Sciences, Neuherberg, Germany
| | - Markus Eidemüller
- Helmholtz Zentrum München, Department of Radiation Sciences, Neuherberg, Germany
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24
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Little MP, Kukush AG, Masiuk SV, Shklyar S, Carroll RJ, Lubin JH, Kwon D, Brenner AV, Tronko MD, Mabuchi K, Bogdanova TI, Hatch M, Zablotska LB, Tereshchenko VP, Ostroumova E, Bouville AC, Drozdovitch V, Chepurny MI, Kovgan LN, Simon SL, Shpak VM, Likhtarev IA. Impact of uncertainties in exposure assessment on estimates of thyroid cancer risk among Ukrainian children and adolescents exposed from the Chernobyl accident. PLoS One 2014; 9:e85723. [PMID: 24489667 PMCID: PMC3906013 DOI: 10.1371/journal.pone.0085723] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Accepted: 12/01/2013] [Indexed: 11/17/2022] Open
Abstract
The 1986 accident at the Chernobyl nuclear power plant remains the most serious nuclear accident in history, and excess thyroid cancers, particularly among those exposed to releases of iodine-131 remain the best-documented sequelae. Failure to take dose-measurement error into account can lead to bias in assessments of dose-response slope. Although risks in the Ukrainian-US thyroid screening study have been previously evaluated, errors in dose assessments have not been addressed hitherto. Dose-response patterns were examined in a thyroid screening prevalence cohort of 13,127 persons aged <18 at the time of the accident who were resident in the most radioactively contaminated regions of Ukraine. We extended earlier analyses in this cohort by adjusting for dose error in the recently developed TD-10 dosimetry. Three methods of statistical correction, via two types of regression calibration, and Monte Carlo maximum-likelihood, were applied to the doses that can be derived from the ratio of thyroid activity to thyroid mass. The two components that make up this ratio have different types of error, Berkson error for thyroid mass and classical error for thyroid activity. The first regression-calibration method yielded estimates of excess odds ratio of 5.78 Gy−1 (95% CI 1.92, 27.04), about 7% higher than estimates unadjusted for dose error. The second regression-calibration method gave an excess odds ratio of 4.78 Gy−1 (95% CI 1.64, 19.69), about 11% lower than unadjusted analysis. The Monte Carlo maximum-likelihood method produced an excess odds ratio of 4.93 Gy−1 (95% CI 1.67, 19.90), about 8% lower than unadjusted analysis. There are borderline-significant (p = 0.101–0.112) indications of downward curvature in the dose response, allowing for which nearly doubled the low-dose linear coefficient. In conclusion, dose-error adjustment has comparatively modest effects on regression parameters, a consequence of the relatively small errors, of a mixture of Berkson and classical form, associated with thyroid dose assessment.
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Affiliation(s)
- Mark P Little
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Alexander G Kukush
- Ukrainian Radiation Protection Institute, Kyiv, Ukraine ; Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
| | | | - Sergiy Shklyar
- Ukrainian Radiation Protection Institute, Kyiv, Ukraine ; Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
| | - Raymond J Carroll
- Department of Statistics, Blocker Building, Texas A&M University, College Station, Texas, United States of America
| | - Jay H Lubin
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Deukwoo Kwon
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America ; Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida, United States of America
| | - Alina V Brenner
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Mykola D Tronko
- State Institution "Institute of Endocrinology and Metabolism of Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - Kiyohiko Mabuchi
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Tetiana I Bogdanova
- State Institution "Institute of Endocrinology and Metabolism of Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - Maureen Hatch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Lydia B Zablotska
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America
| | - Valeriy P Tereshchenko
- State Institution "Institute of Endocrinology and Metabolism of Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
| | - Evgenia Ostroumova
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - André C Bouville
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Vladimir Drozdovitch
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | | | - Lina N Kovgan
- Ukrainian Radiation Protection Institute, Kyiv, Ukraine
| | - Steven L Simon
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, United States of America
| | - Victor M Shpak
- State Institution "Institute of Endocrinology and Metabolism of Academy of Medical Sciences of Ukraine", Kyiv, Ukraine
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25
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Takahashi I, Ohishi W, Mettler FA, Ozasa K, Jacob P, Ban N, Lipshultz SE, Stewart FA, Nabika T, Niwa Y, Takahashi N, Akahoshi M, Kodama K, Shore R. A report from the 2013 international workshop: radiation and cardiovascular disease, Hiroshima, Japan. JOURNAL OF RADIOLOGICAL PROTECTION : OFFICIAL JOURNAL OF THE SOCIETY FOR RADIOLOGICAL PROTECTION 2013; 33:869-880. [PMID: 24190873 DOI: 10.1088/0952-4746/33/4/869] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Two longitudinal cohort studies of Japanese atomic bomb survivors-the life span study (LSS) and the adult health study (AHS)-from the Radiation Effects Research Foundation (RERF) indicate that total body irradiation doses less than 1 Gy are associated with an increased risk of cardiovascular disease (CVD), but several questions about this association remain.In particular, the diversity of heart disease subtypes and the high prevalence of other risk factors complicate the estimates of radiation effects. Subtype-specific analyses with more reliable diagnostic criteria and measurement techniques are needed. The radiation effects on CVD risk are probably tissue-reaction (deterministic) effects, so the dose-response relationships for various subtypes of CVD may be nonlinear and therefore should be explored with several types of statistical models.Subpopulations at high risk need to be identified because effects at lower radiation doses may occur primarily in these susceptible subpopulations. Whether other CVD risk factors modify radiation effects also needs to be determined. Finally, background rates for various subtypes of CVD have historically differed substantially between Japanese and Western populations, so the generalisability to other populations needs to be examined.Cardiovascular disease mechanisms and manifestations may differ between high-dose local irradiation and low-dose total body irradiation (TBI)-microvascular damage and altered metabolism from low-dose TBI, but coronary artery atherosclerosis and thrombotic myocardial infarcts at high localised doses. For TBI, doses to organs other than the heart may be important in pathogenesis of CVD, so data on renal and liver disorders, plaque instability, microvascular damage, metabolic disorders, hypertension and various CVD biomarkers and risk factors are needed. Epidemiological, clinical and experimental studies at doses of less than 1 Gy are necessary to clarify the effects of radiation on CVD risk.
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Affiliation(s)
- Ikuno Takahashi
- Department of Clinical Studies, Radiation Effects Research Foundation (RERF), Hiroshima, Japan
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Little MP. A review of non-cancer effects, especially circulatory and ocular diseases. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2013; 52:435-449. [PMID: 23903347 PMCID: PMC4074546 DOI: 10.1007/s00411-013-0484-7] [Citation(s) in RCA: 87] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2013] [Accepted: 07/14/2013] [Indexed: 05/30/2023]
Abstract
There is a well-established association between high doses (>5 Gy) of ionizing radiation exposure and damage to the heart and coronary arteries, although only recently have studies with high-quality individual dosimetry been conducted that would enable quantification of this risk adjusting for concomitant chemotherapy. The association between lower dose exposures and late occurring circulatory disease has only recently begun to emerge in the Japanese atomic bomb survivors and in various occupationally exposed cohorts and is still controversial. Excess relative risks per unit dose in moderate- and low-dose epidemiological studies are somewhat variable, possibly a result of confounding and effect modification by well-known (but unobserved) risk factors. Radiation doses of 1 Gy or more are associated with increased risk of posterior subcapsular cataract. Accumulating evidence from the Japanese atomic bomb survivors, Chernobyl liquidators, US astronauts, and various other exposed groups suggests that cortical cataracts may also be associated with ionizing radiation, although there is little evidence that nuclear cataracts are radiogenic. The dose-response appears to be linear, although modest thresholds (of no more than about 0.6 Gy) cannot be ruled out. A variety of other non-malignant effects have been observed after moderate/low-dose exposure in various groups, in particular respiratory and digestive disease and central nervous system (and in particular neuro-cognitive) damage. However, because these are generally only observed in isolated groups, or because the evidence is excessively heterogeneous, these associations must be treated with caution.
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Affiliation(s)
- Mark P Little
- Radiation Epidemiology Branch, National Cancer Institute, 9609 Medical Center Drive MSC 9778, Bethesda, MD, 20892-9778, USA,
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Wondergem J, Boerma M, Kodama K, Stewart FA, Trott KR. Cardiovascular effects after low-dose exposure and radiotherapy: what research is needed? RADIATION AND ENVIRONMENTAL BIOPHYSICS 2013; 52:425-434. [PMID: 23999657 DOI: 10.1007/s00411-013-0489-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2013] [Accepted: 08/19/2013] [Indexed: 06/02/2023]
Abstract
The authors of this report met at the Head Quarter of the International Atomic Energy Agency (IAEA) in Vienna, Austria, on 2-4 July 2012, for intensive discussions of an abundance of original publications on new epidemiological studies on cardiovascular effects after low-dose exposure and radiotherapy and radiobiological experiments as well as several comprehensive reviews that were published since the previous meeting by experts sponsored by the IAEA in June 2006. The data necessitated a re-evaluation of the situation with special emphasis on the consequences current experimental and clinical data may have for clinical oncology/radiotherapy and radiobiological research. The authors jointly arrived at the conclusions and recommendations presented here.
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Affiliation(s)
- Jan Wondergem
- Applied Radiation Biology and Radiotherapy Section, Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Wagrammer Strasse 5, PO box 100, 1400, Vienna, Austria,
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Schöllnberger H, Kaiser JC, Walsh L, Jacob P. Reply to Little et al.: dose-responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2013; 52:161-3. [PMID: 23315228 DOI: 10.1007/s00411-012-0454-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2012] [Accepted: 12/20/2012] [Indexed: 05/05/2023]
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Little MP, Azizova TV, Bazyka D, Bouffler SD, Cardis E, Chekin S, Chumak VV, Cucinotta FA, de Vathaire F, Hall P, Harrison JD, Hildebrandt G, Ivanov V, Kashcheev VV, Klymenko SV, Laurent O, Ozasa K, Tapio S, Taylor AM, Tzoulaki I, Vandoolaeghe WL, Wakeford R, Zablotska L, Zhang W, Lipshultz SE. Comment on "dose-responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors" (Radiat. Environ. Biophys (2012) 51:165-178) by Schöllnberger et al. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2013; 52:157-9. [PMID: 23296519 DOI: 10.1007/s00411-012-0453-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Accepted: 12/20/2012] [Indexed: 05/05/2023]
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Schöllnberger H, Kaiser JC. Estimating risk of circulatory disease from exposure to low-level ionizing radiation. ENVIRONMENTAL HEALTH PERSPECTIVES 2012; 120:A452-3; author reply A453. [PMID: 23211511 PMCID: PMC3548296 DOI: 10.1289/ehp.1206046] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
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Estimating Risk of Circulatory Disease: Little et al. Respond. ENVIRONMENTAL HEALTH PERSPECTIVES 2012; 120. [PMCID: PMC3548303 DOI: 10.1289/ehp.1206046r] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
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Walsh L, Kaiser JC, Schöllnberger H, Jacob P. Response to "model averaging in the analysis of leukaemia mortality among Japanese A-bomb survivors" by Richardson and Cole. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2012; 51:97-100. [PMID: 22200731 DOI: 10.1007/s00411-011-0397-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2011] [Accepted: 12/10/2011] [Indexed: 05/03/2023]
Affiliation(s)
- L Walsh
- Federal Office for Radiation Protection, 85764, Neuherberg, Germany,
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