mesothelioma incidence modeling and forecasting
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Draft--Preliminary work product Mesothelioma incidence modeling and forecasting 2014 Casualty Loss Reserve Seminar Jorge Gallardo-Garcia, PhD September 15, 2014 Draft--Preliminary work product 2 Mesothelioma incidence has remained relatively


  1. Draft--Preliminary work product Mesothelioma incidence modeling and forecasting 2014 Casualty Loss Reserve Seminar Jorge Gallardo-Garcia, PhD September 15, 2014

  2. Draft--Preliminary work product 2 Mesothelioma incidence has remained relatively constant in the last several years 3,500 3,000 2,500 2,000 1,500 SEER 1,000 500 0 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 2012 2015 2018 2021 2024 2027 2030 2033 2036 2039 2042 2045 2048 2051 2054 2057 September 15, 2014

  3. Draft--Preliminary work product 3 However, the typical incidence models have predicted a declining asbestos-related diagnoses 3,500 3,000 2,500 2,000 1,500 Nicholson/KPMG-style 1,000 500 0 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 2012 2015 2018 2021 2024 2027 2030 2033 2036 2039 2042 2045 2048 2051 2054 2057 September 15, 2014

  4. Draft--Preliminary work product 4 There has been ample literature attempting to estimate the future number of mesotheliomas in the US population • Higginson (1980) • Enterline (1981) • Peto et al (1981) • Nicholson et al (1981, 1982) • Walker et al (1983) • Lilienfeld et al (1988) • KPMG (1992) • Stallard (2001) • Stallard et al (2004)  Though these models had different approaches for estimating the future mesothelioma incidence and resulted in different levels of future counts, all had a common assumption:  Either all mesotheliomas are asbestos related or all mesotheliomas were generated by the same process September 15, 2014

  5. Draft--Preliminary work product 5 Models that assume that all mesothelioma is caused by asbestos do not fit the data well 3,500 3,000 2,500 2,000 1,500 SEER Nicholson/KPMG-style 1,000 500 0 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 2012 2015 2018 2021 2024 2027 2030 2033 2036 2039 2042 2045 2048 2051 2054 2057 September 15, 2014

  6. Draft--Preliminary work product 6 Scientific literature has studied whether asbestos is the only cause of mesothelioma • Studies have estimated that a significant portion of mesothelioma diagnoses are not related to asbestos exposure above background levels  Pleural mesothelioma: 20%-50% male and 70%-80% female  Peritoneal mesothelioma: 70%-85% male and female • See, for instance  Attanoos, R. L. and Timothy C. Allen (2014), Advances in surgical pathology, Lippincott Williams & Wilkins  Carbone, M. et al (2012), “Malignant Mesothelioma: Facts, Myths and Hypotheses,” Journal of Cellular Physiology, 227(1)  Moolgavkar, S. H. et al (2009), “Pleural and peritoneal mesotheliomas in SEER: age effects and temporal trends, 1973- 2005,” Cancer Causes Control, 20 September 15, 2014

  7. Draft--Preliminary work product 7 In fact, there may be several different factors that contribute to mesothelioma incidence other than any asbestos products exposure • Naturally-occurring asbestos in the environment • Non-asbestos fibers and/or chemicals  Fibrous Zeolite (Erionite)  Fluoro-edenite  Refractory ceramic fibers  Carbon nanotubes  Other organic fibers • Radiation • Spontaneous or idiopathic  Genetics • SV40 virus in vaccines September 15, 2014

  8. Draft--Preliminary work product 8 Therefore, a model that tries to estimate the number of mesotheliomas in the population should account for its potential sources • The Bates White incidence model considers that mesothelioma diagnoses can be cause by  Exposure to asbestos-containing products  Other sources, collectively referred to as background • The model jointly estimates a  Nicholson/KPMG-style occupational-based model  A model of cancer generation in the general population based on age, gender, and population size • The estimation routine uses the scientific observation that most female mesothelioma diagnoses are not related to exposure to asbestos products September 15, 2014

  9. Draft--Preliminary work product 9 Bates White’s statistical model can explain the difference between the typical models and the data 3,500 3,000 2,500 2,000 1,500 SEER Related to asbestos products exposure Other causes 1,000 Total incidence 500 0 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 2012 2015 2018 2021 2024 2027 2030 2033 2036 2039 2042 2045 2048 2051 2054 2057 September 15, 2014

  10. Draft--Preliminary work product 10 Theoretically, the asbestos litigation focus should be only on diagnoses caused by asbestos products exposure and in how the exposure occurred 3,500 3,000 Related to asbestos products exposure (total) 2,500 Construction industries Shipyard industries 2,000 Other industries and occupations 1,500 1,000 500 0 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009 2012 2015 2018 2021 2024 2027 2030 2033 2036 2039 2042 2045 2048 2051 2054 2057 September 15, 2014

  11. Draft--Preliminary work product 11 Focusing on the asbestos litigation: historically, U.S. mesothelioma tort filings by quarter were driven by epidemiology 600 500 400 Number of claims 300 200 100 0 1985 1988 1991 1994 1997 2000 2003 2006 2009 Filing quarter Source: Bates White claimant database September 15, 2014

  12. Draft--Preliminary work product 12 Non-malignant filings were driven by economics: mass recruitment led to a surge that subsequently collapsed 20,000 15,000 Number of claims 10,000 5,000 0 1985 1988 1991 1994 1997 2000 2003 2006 2009 Filing quarter Source: Bates White claimant database September 15, 2014

  13. Draft--Preliminary work product 13 And lung and other cancer tort filings basically followed the non-malignant claims as their surge was mostly a byproduct of mass recruitment 1,000 Lung Cancer Other Cancer 750 Number of claims 500 250 0 1985 1988 1991 1994 1997 2000 2003 2006 2009 Filing quarter Source: Bates White claimant database September 15, 2014

  14. Draft--Preliminary work product 14 How will a higher proportion of mesothelioma diagnoses unrelated to asbestos products exposure affect asbestos litigation? • How will causation in mesothelioma cases play a role in future trials? • How will the way in which mesothelioma claims are pursued by plaintiff firms and defended be affected? • How will the asbestos litigation system react to a growing portion of mesothelioma diagnoses with tenuous or no linkage to asbestos- containing products’ exposure ? • How will this issue affect the number of mesothelioma claims filed, the number of claims settled, and settlement amounts in the tort system? September 15, 2014

  15. Draft--Preliminary work product Mesothelioma incidence modeling and forecasting 2014 Casualty Loss Reserve Seminar Jorge Gallardo-Garcia, PhD September 15, 2014

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