Literature DB >> 18545036

Interactive RadioEpidemiological Program (IREP): a web-based tool for estimating probability of causation/assigned share of radiogenic cancers.

David C Kocher1, A Iulian Apostoaei, Russell W Henshaw, F Owen Hoffman, Mary K Schubauer-Berigan, Daniel O Stancescu, Brian A Thomas, John R Trabalka, Ethel S Gilbert, Charles E Land.   

Abstract

The Interactive RadioEpidemiological Program (IREP) is a Web-based, interactive computer code that is used to estimate the probability that a given cancer in an individual was induced by given exposures to ionizing radiation. IREP was developed by a Working Group of the National Cancer Institute and Centers for Disease Control and Prevention, and was adopted and modified by the National Institute for Occupational Safety and Health (NIOSH) for use in adjudicating claims for compensation for cancer under the Energy Employees Occupational Illness Compensation Program Act of 2000. In this paper, the quantity calculated in IREP is referred to as "probability of causation/assigned share" (PC/AS). PC/AS for a given cancer in an individual is calculated on the basis of an estimate of the excess relative risk (ERR) associated with given radiation exposures and the relationship PC/AS = ERR/ERR+1. IREP accounts for uncertainties in calculating probability distributions of ERR and PC/AS. An accounting of uncertainty is necessary when decisions about granting claims for compensation for cancer are made on the basis of an estimate of the upper 99% credibility limit of PC/AS to give claimants the "benefit of the doubt." This paper discusses models and methods incorporated in IREP to estimate ERR and PC/AS. Approaches to accounting for uncertainty are emphasized, and limitations of IREP are discussed. Although IREP is intended to provide unbiased estimates of ERR and PC/AS and their uncertainties to represent the current state of knowledge, there are situations described in this paper in which NIOSH, as a matter of policy, makes assumptions that give a higher estimate of the upper 99% credibility limit of PC/AS than other plausible alternatives and, thus, are more favorable to claimants.

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Year:  2008        PMID: 18545036      PMCID: PMC4018571          DOI: 10.1097/01.HP.0000291191.49583.f7

Source DB:  PubMed          Journal:  Health Phys        ISSN: 0017-9078            Impact factor:   1.316


  19 in total

1.  Uncertainty, low-dose extrapolation and the threshold hypothesis.

Authors:  Charles E Land
Journal:  J Radiol Prot       Date:  2002-09       Impact factor: 1.394

2.  Internal dose reconstruction under Part B of the energy employees compensation act.

Authors:  Elizabeth M Brackett; David E Allen; Scott R Siebert; Thomas R La Bone
Journal:  Health Phys       Date:  2008-07       Impact factor: 1.316

3.  The probability of causation under a stochastic model for individual risk.

Authors:  J Robins; S Greenland
Journal:  Biometrics       Date:  1989-12       Impact factor: 2.571

Review 4.  Conceptual problems in the definition and interpretation of attributable fractions.

Authors:  S Greenland; J M Robins
Journal:  Am J Epidemiol       Date:  1988-12       Impact factor: 4.897

5.  Estimability and estimation of excess and etiologic fractions.

Authors:  J M Robins; S Greenland
Journal:  Stat Med       Date:  1989-07       Impact factor: 2.373

6.  A case-control interview study of breast cancer among Japanese A-bomb survivors. II. Interactions with radiation dose.

Authors:  C E Land; N Hayakawa; S G Machado; Y Yamada; M C Pike; S Akiba; M Tokunaga
Journal:  Cancer Causes Control       Date:  1994-03       Impact factor: 2.506

7.  Effect of recent changes in atomic bomb survivor dosimetry on cancer mortality risk estimates.

Authors:  Dale L Preston; Donald A Pierce; Yukiko Shimizu; Harry M Cullings; Shoichiro Fujita; Sachiyo Funamoto; Kazunori Kodama
Journal:  Radiat Res       Date:  2004-10       Impact factor: 2.841

8.  Cancer mortality risk among workers at the Mayak nuclear complex.

Authors:  N S Shilnikova; D L Preston; E Ron; E S Gilbert; E K Vassilenko; S A Romanov; I S Kuznetsova; M E Sokolnikov; P V Okatenko; V V Kreslov; N A Koshurnikova
Journal:  Radiat Res       Date:  2003-06       Impact factor: 2.841

Review 9.  Cancer incidence in atomic bomb survivors. Part II: Solid tumors, 1958-1987.

Authors:  D E Thompson; K Mabuchi; E Ron; M Soda; M Tokunaga; S Ochikubo; S Sugimoto; T Ikeda; M Terasaki; S Izumi
Journal:  Radiat Res       Date:  1994-02       Impact factor: 2.841

10.  Cancer incidence in atomic bomb survivors. Part III. Leukemia, lymphoma and multiple myeloma, 1950-1987.

Authors:  D L Preston; S Kusumi; M Tomonaga; S Izumi; E Ron; A Kuramoto; N Kamada; H Dohy; T Matsuo; T ] Matsui T [corrected to Matsuo
Journal:  Radiat Res       Date:  1994-02       Impact factor: 2.841

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  18 in total

1.  Breast cancer risk in atomic bomb survivors from multi-model inference with incidence data 1958-1998.

Authors:  J C Kaiser; P Jacob; R Meckbach; H M Cullings
Journal:  Radiat Environ Biophys       Date:  2011-09-23       Impact factor: 1.925

2.  Response to "model averaging in the analysis of leukaemia mortality among Japanese A-bomb survivors" by Richardson and Cole.

Authors:  L Walsh; J C Kaiser; H Schöllnberger; P Jacob
Journal:  Radiat Environ Biophys       Date:  2011-12-27       Impact factor: 1.925

3.  Projected lifetime cancer risks from exposure to regional radioactive fallout in the Marshall Islands.

Authors:  Charles E Land; André Bouville; Iulian Apostoaei; Steven L Simon
Journal:  Health Phys       Date:  2010-08       Impact factor: 1.316

4.  RadRAT: a radiation risk assessment tool for lifetime cancer risk projection.

Authors:  Amy Berrington de Gonzalez; A Iulian Apostoaei; Lene H S Veiga; Preetha Rajaraman; Brian A Thomas; F Owen Hoffman; Ethel Gilbert; Charles Land
Journal:  J Radiol Prot       Date:  2012-07-19       Impact factor: 1.394

Review 5.  Evaluating biomarkers to model cancer risk post cosmic ray exposure.

Authors:  Deepa M Sridharan; Aroumougame Asaithamby; Steve R Blattnig; Sylvain V Costes; Paul W Doetsch; William S Dynan; Philip Hahnfeldt; Lynn Hlatky; Yared Kidane; Amy Kronenberg; Mamta D Naidu; Leif E Peterson; Ianik Plante; Artem L Ponomarev; Janapriya Saha; Antoine M Snijders; Kalayarasan Srinivasan; Jonathan Tang; Erica Werner; Janice M Pluth
Journal:  Life Sci Space Res (Amst)       Date:  2016-05-21

6.  Predicted cancer risks induced by computed tomography examinations during childhood, by a quantitative risk assessment approach.

Authors:  Neige Journy; Sophie Ancelet; Jean-Luc Rehel; Myriam Mezzarobba; Bernard Aubert; Dominique Laurier; Marie-Odile Bernier
Journal:  Radiat Environ Biophys       Date:  2013-10-09       Impact factor: 1.925

7.  Independent analysis of the radiation risk for leukaemia in children and adults with mortality data (1950-2003) of Japanese A-bomb survivors.

Authors:  Jan Christian Kaiser; Linda Walsh
Journal:  Radiat Environ Biophys       Date:  2012-11-04       Impact factor: 1.925

8.  Probability Distribution of Dose and Dose-Rate Effectiveness Factor for use in Estimating Risks of Solid Cancers From Exposure to Low-Let Radiation.

Authors:  David C Kocher; A Iulian Apostoaei; F Owen Hoffman; John R Trabalka
Journal:  Health Phys       Date:  2018-06       Impact factor: 1.316

9.  Characterization of exposures to workers covered under the U.S. Energy Employees Compensation Act.

Authors:  James W Neton
Journal:  Health Phys       Date:  2014-02       Impact factor: 1.316

10.  Radiation-related genomic profile of papillary thyroid carcinoma after the Chernobyl accident.

Authors:  Lindsay M Morton; Danielle M Karyadi; Chip Stewart; Tetiana I Bogdanova; Eric T Dawson; Mia K Steinberg; Jieqiong Dai; Stephen W Hartley; Sara J Schonfeld; Joshua N Sampson; Yosef E Maruvka; Vidushi Kapoor; Dale A Ramsden; Juan Carvajal-Garcia; Charles M Perou; Joel S Parker; Marko Krznaric; Meredith Yeager; Joseph F Boland; Amy Hutchinson; Belynda D Hicks; Casey L Dagnall; Julie M Gastier-Foster; Jay Bowen; Olivia Lee; Mitchell J Machiela; Elizabeth K Cahoon; Alina V Brenner; Kiyohiko Mabuchi; Vladimir Drozdovitch; Sergii Masiuk; Mykola Chepurny; Liudmyla Yu Zurnadzhy; Maureen Hatch; Amy Berrington de Gonzalez; Gerry A Thomas; Mykola D Tronko; Gad Getz; Stephen J Chanock
Journal:  Science       Date:  2021-04-22       Impact factor: 63.714

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