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CPS1483 Ken Karipidis et. al
                  calls  for all users.(17)  Based on these findings it is likely that the proportion
                  of heavy users in our study is overestimated.
                     Finally this is an ecological observational study, not based on individual
                  data thus it is not possible to account for confounding factors. This study
                  design is appropriate to define global trends. Further, the stable trend in brain
                  tumour incidence could have concealed a true increasing risk related to mobile
                  phone use which appeared flat due to declines in other risk factors.
                     In conclusion, we found no evidence that mobile phone use increased any
                  brain  tumour  histological  types  or  subtypes.  There  was  an  increase  in  the
                  incidence of  glioblastoma  prior to the rapid increase in mobile phone use
                  which was most likely due to improved diagnosis from MRI. Furthermore, there
                  was no increase in gliomas of the temporal lobe, which is the most exposed
                  location, during the period of substantial mobile phone use. The increase in
                  gliomas of the temporal lobe and decrease in gliomas of unspecified location
                  during the periods prior to substantial mobile phone use are in line with the
                  theory of improved diagnosis from CT and MRI. Further, the predicted rates
                  were higher than the observed rates for latency periods up to 15 years. These
                  results do not support an association between mobile phone use and brain
                  tumour, although the possibility of a small risk or a latency period of more
                  than  15  years  cannot  be  excluded.  Future  research  should  continue  to
                  investigate trends in brain tumour histological types, and anatomical location
                  for a possible increase with a longer latency period.

                  References
                  1.  Cardis E, et al. Distribution of RF energy emitted by mobile phones in
                      anatomical  structures  of  the  brain.  Physics  in  Medicine  &  Biology.
                      2008;53(11):2771.
                  2.  SCENIHR.  Final  opinion  on  potential  health  effects  ofexposure  to
                      electromagnetic fields (EMF). 2015.
                  3.  INTERPHONE  Study  Group.  Brain  tumour  risk  in  relation  to  mobile
                      telephone  use:  results  of  the  INTERPHONE  international  case–control
                      study. International journal of epidemiology. 2010;39(3):675-94.
                  4.  Ostrom QT, et al. The epidemiology of glioma in adults: a “state of the
                      science” review. Neuro-oncology. 2014;16(7):896-913.
                  5.  World  Health  Organization.  WHO  research  agenda  for  radiofrequency
                      fields. 2010.
                  6.  Inskip  PD,  et  al.  Brain  cancer  incidence  trends  in  relation  to  cellular
                      telephone use in the United States. Neuro-oncology. 2010;12(11):1147-
                      51.
                  7.  Chapman S, et al. Has the incidence of brain cancer risen in Australia since
                      the introduction of mobile phones 29 years ago? Cancer epidemiology.
                      2016;42:199-205.

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