2018
DOI: 10.1007/s10654-018-0458-9
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Cited by 6 publications
(4 citation statements)
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“…57 Integration of epidemiology and biology has long been discussed for cancer. 58 This would also indeed be needed for cataracts, 59 and development of risk-predictive biomathematical models 60 would be important.…”
Section: Do Minor Opacities Progress Into Vision Impairing Cataracts?mentioning
confidence: 99%
“…57 Integration of epidemiology and biology has long been discussed for cancer. 58 This would also indeed be needed for cataracts, 59 and development of risk-predictive biomathematical models 60 would be important.…”
Section: Do Minor Opacities Progress Into Vision Impairing Cataracts?mentioning
confidence: 99%
“…For cancer, integration of epidemiology and biology has long been discussed (246,247), and epidemiological data have been applied to several biologically based mechanistic models (248,249). The integrative approach would also indeed be needed for cataracts (250), DCS (247) and other noncancer effects, but such studies are very limited, e.g., for cataracts (251) and DCS (252)(253)(254)(255). To this end, developments of biologically based dose response (BBDR) models would be critical to enhance the risk assessment process (by reducing uncertainty in risk estimates at low dose and low dose rate), and developments of adverse outcome pathways (AOPs) would be required to determine BBDR model parameters (247).…”
Section: Integration Of Epidemiology and Biologymentioning
confidence: 99%
“…Both ICRP and NCRP have recently emphasized the need of a more mechanistically based model for radiation protection purposes [14,15]. Besides, the need of integrating biology and epidemiology for radiation cataracts has recently been highlighted [16]. However, mathematical modeling of the lens growth, spontaneous cataractogenesis and IR cataractogenesis has not been described in the literature, with a single exception of one report on cell-density distribution in the lens epithelium of animal lenses [17].…”
Section: Introductionmentioning
confidence: 99%