Frank de Vocht1. 1. School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PS, UK. Electronic address: frank.devocht@bristol.ac.uk.
Abstract
BACKGROUND: Mobile phone use has been increasing rapidly in the past decades and, in parallel, so has the annual incidence of certain types of brain cancers. However, it remains unclear whether this correlation is coincidental or whether use of mobile phones may cause the development, promotion or progression of specific cancers. The 1985-2014 incidence of selected brain cancer subtypes in England were analyzed and compared to counterfactual 'synthetic control' timeseries. METHODS: Annual 1985-2014 incidence of malignant glioma, glioblastoma multiforme, and malignant neoplasms of the temporal and parietal lobes in England were modelled based on population-level covariates using Bayesian structural time series models assuming 5,10 and 15year minimal latency periods. Post-latency counterfactual 'synthetic England' timeseries were nowcast based on covariate trends. The impact of mobile phone use was inferred from differences between measured and modelled time series. RESULTS: There is no evidence of an increase in malignant glioma, glioblastoma multiforme, or malignant neoplasms of the parietal lobe not predicted in the 'synthetic England' time series. Malignant neoplasms of the temporal lobe however, have increased faster than expected. A latency period of 10years reflected the earliest latency period when this was measurable and related to mobile phone penetration rates, and indicated an additional increase of 35% (95% Credible Interval 9%:59%) during 2005-2014; corresponding to an additional 188 (95%CI 48-324) cases annually. CONCLUSIONS: A causal factor, of which mobile phone use (and possibly other wireless equipment) is in agreement with the hypothesized temporal association, is related to an increased risk of developing malignant neoplasms in the temporal lobe.
BACKGROUND: Mobile phone use has been increasing rapidly in the past decades and, in parallel, so has the annual incidence of certain types of brain cancers. However, it remains unclear whether this correlation is coincidental or whether use of mobile phones may cause the development, promotion or progression of specific cancers. The 1985-2014 incidence of selected brain cancer subtypes in England were analyzed and compared to counterfactual 'synthetic control' timeseries. METHODS: Annual 1985-2014 incidence of malignant glioma, glioblastoma multiforme, and malignant neoplasms of the temporal and parietal lobes in England were modelled based on population-level covariates using Bayesian structural time series models assuming 5,10 and 15year minimal latency periods. Post-latency counterfactual 'synthetic England' timeseries were nowcast based on covariate trends. The impact of mobile phone use was inferred from differences between measured and modelled time series. RESULTS: There is no evidence of an increase in malignant glioma, glioblastoma multiforme, or malignant neoplasms of the parietal lobe not predicted in the 'synthetic England' time series. Malignant neoplasms of the temporal lobe however, have increased faster than expected. A latency period of 10years reflected the earliest latency period when this was measurable and related to mobile phone penetration rates, and indicated an additional increase of 35% (95% Credible Interval 9%:59%) during 2005-2014; corresponding to an additional 188 (95%CI 48-324) cases annually. CONCLUSIONS: A causal factor, of which mobile phone use (and possibly other wireless equipment) is in agreement with the hypothesized temporal association, is related to an increased risk of developing malignant neoplasms in the temporal lobe.
Authors: Pantelis Samartsidis; Natasha N Martin; Victor De Gruttola; Frank De Vocht; Sharon Hutchinson; Judith J Lok; Amy Puenpatom; Rui Wang; Matthew Hickman; Daniela De Angelis Journal: Stat Commun Infect Dis Date: 2021-10-11
Authors: Samuel G Smith; Emma Beard; Jennifer A McGowan; Emma Fox; Chloe Cook; Radhika Pal; Jo Waller; Lion Shahab Journal: BMJ Open Date: 2018-12-14 Impact factor: 2.692
Authors: Pantelis Samartsidis; Shaun R Seaman; Silvia Montagna; André Charlett; Matthew Hickman; Daniela De Angelis Journal: J R Stat Soc Ser A Stat Soc Date: 2021-01-15 Impact factor: 2.483
Authors: Dominique Belpomme; George L Carlo; Philippe Irigaray; David O Carpenter; Lennart Hardell; Michael Kundi; Igor Belyaev; Magda Havas; Franz Adlkofer; Gunnar Heuser; Anthony B Miller; Daniela Caccamo; Chiara De Luca; Lebrecht von Klitzing; Martin L Pall; Priyanka Bandara; Yael Stein; Cindy Sage; Morando Soffritti; Devra Davis; Joel M Moskowitz; S M J Mortazavi; Martha R Herbert; Hanns Moshammer; Gerard Ledoigt; Robert Turner; Anthony Tweedale; Pilar Muñoz-Calero; Iris Udasin; Tarmo Koppel; Ernesto Burgio; André Vander Vorst Journal: Int J Mol Sci Date: 2021-07-07 Impact factor: 5.923