| scholarly article | Q13442814 |
| P356 | DOI | 10.1093/IJE/DYQ079 |
| P698 | PubMed publication ID | 20483835 |
| P2093 | author name string | INTERPHONE Study Group | |
| P2860 | cites work | The INTERPHONE study: design, epidemiological methods, and description of the study population | Q23912478 |
| Mobile phone use, exposure to radiofrequency electromagnetic field, and brain tumour: a case-control study | Q24647136 | ||
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| Brain tumors and salivary gland cancers among cellular telephone users | Q48625765 | ||
| Commentary: Observational studies may conceal a weakly elevated risk under the appearance of consistently reduced risks. | Q53045833 | ||
| P433 | issue | 3 | |
| P304 | page(s) | 675-694 | |
| P577 | publication date | 2010-05-17 | |
| P1433 | published in | International Journal of Epidemiology | Q6051393 |
| P1476 | title | Brain tumour risk in relation to mobile telephone use: results of the INTERPHONE international case-control study | |
| P478 | volume | 39 |
| Q30853613 | 1950 MHz Electromagnetic Fields Ameliorate Aβ Pathology in Alzheimer's Disease Mice |
| Q37412928 | 1950 MHz radiofrequency electromagnetic fields do not aggravate memory deficits in 5xFAD mice |
| Q30473239 | A case-control study of risk of leukaemia in relation to mobile phone use. |
| Q30367387 | A cross-sectional study of the association between mobile phone use and symptoms of ill health. |
| Q37935012 | A current global view of environmental and occupational cancers |
| Q34340631 | A forecasting method to reduce estimation bias in self-reported cell phone data |
| Q35085337 | A multicenter study of primary brain tumor incidence in Australia (2000-2008). |
| Q23914497 | A source-based measurement database for occupational exposure assessment of electromagnetic fields in the INTEROCC study: a literature review approach |
| Q40901114 | A three-dimensional point process model for the spatial distribution of disease occurrence in relation to an exposure source |
| Q36688964 | Adolescents' risk perceptions on mobile phones and their base stations, their trust to authorities and incivility in using mobile phones: a cross-sectional survey on 2240 high school students in Izmir, Turkey |
| Q47318168 | Analysis of ear side of mobile phone use in the general population of Japan. |
| Q38876995 | Analysis of mobile phone use among young patients with brain tumors in Japan |
| Q48508979 | Analysis of the influence of handset phone position on RF exposure of brain tissue |
| Q39988126 | Analysis of three-dimensional SAR distributions emitted by mobile phones in an epidemiological perspective |
| Q29027335 | Anthropogenic electromagnetic noise disrupts magnetic compass orientation in a migratory bird |
| Q28394072 | Assessing occupational exposure to chemicals in an international epidemiological study of brain tumours |
| Q98893509 | Assessment of function, histopathological changes, and oxidative stress in liver tissue due to ionizing and non-ionizing radiations |
| Q50895009 | Assessment of oxidant/antioxidant status in saliva of cell phone users. |
| Q48147282 | Association between number of cell phone contracts and brain tumor incidence in nineteen U.S. States |
| Q48459436 | Author's response: re 'mobile phone use and brain tumours in the CERENAT case-control study'. |
| Q47790717 | Behavior and memory evaluation of Wistar rats exposed to 1·8 GHz radiofrequency electromagnetic radiation |
| Q28068943 | Bioelectromagnetics Research within an Australian Context: The Australian Centre for Electromagnetic Bioeffects Research (ACEBR) |
| Q46503248 | CANCER: First Combined Analysis from INTERPHONE Inconclusive |
| Q38074183 | Cancer risks related to low-level RF/MW exposures, including cell phones |
| Q39443492 | Cancers of the brain and CNS: global patterns and trends in incidence |
| Q53241058 | Carcinogenicity of implanted synthetic grafts and devices. |
| Q55054751 | Carcinogenicity of radiofrequency electromagnetic fields. |
| Q55091039 | Case-Control Study on Occupational Exposure to Extremely Low-Frequency Electromagnetic Fields and the Association with Meningioma. |
| Q30446994 | Case-control study of the association between malignant brain tumours diagnosed between 2007 and 2009 and mobile and cordless phone use |
| Q48296931 | Case-control study on occupational exposure to extremely low-frequency electromagnetic fields and glioma risk |
| Q93181368 | Cell phone use and risk of thyroid cancer: a population-based case-control study in Connecticut |
| Q34209257 | Cell phones and glioma risk: a review of the evidence |
| Q34565167 | Cell type-dependent induction of DNA damage by 1800 MHz radiofrequency electromagnetic fields does not result in significant cellular dysfunctions |
| Q42798627 | Cellular neoplastic transformation induced by 916 MHz microwave radiation |
| Q46154133 | Clustering of excess health concerns for electromagnetic fields among health personnel: A quantitative and qualitative approach. |
| Q48921185 | Cochlear implants in the etiopathogenesis of glioblastoma--an interesting observation or independent finding? |
| Q50069425 | Cohort profile: LIFEWORK, a prospective cohort study on occupational and environmental risk factors and health in the Netherlands |
| Q41151724 | Cohort profile: UK COSMOS-a UK cohort for study of environment and health. |
| Q33884933 | Commentary: Call me on my mobile phone...or better not?--a look at the INTERPHONE study results |
| Q58567635 | Comments on the US National Toxicology Program technical reports on toxicology and carcinogenesis study in rats exposed to whole-body radiofrequency radiation at 900 MHz and in mice exposed to whole-body radiofrequency radiation at 1,900 MHz |
| Q37884493 | Comparative health risk assessment of electromagnetic fields |
| Q37845216 | Current state of our knowledge on brain tumor epidemiology. |
| Q39600446 | Cytostatic response of NB69 cells to weak pulse-modulated 2.2 GHz radar-like signals. |
| Q28396655 | Decreased survival of glioma patients with astrocytoma grade IV (glioblastoma multiforme) associated with long-term use of mobile and cordless phones |
| Q89135366 | Development of a Coding and Crosswalk Tool for Occupations and Industries |
| Q47562312 | Distinguishing Polemic From Commentary in Science: Some Guidelines Illustrated With the Case of Sage and Burgio (2017). |
| Q46235183 | Do people understand IARC's 2B categorization of RF fields from cell phones? |
| Q55353950 | Effect of Microwave Wi-Fi Radiation at Frequency of 2.4 GHz on Epileptic Behavior of Rats. |
| Q46621193 | Effect of cell phone-like electromagnetic radiation on primary human thyroid cells |
| Q48411916 | Effect of whole-body exposure to the 848.5 MHz code division multiple access (CDMA) electromagnetic field on adult neurogenesis in the young, healthy rat brain |
| Q60957286 | Effects of Low-Frequency Electromagnetic Field on Oxidative Stress in Selected Structures of the Central Nervous System |
| Q24635300 | Effects of cell phone radiofrequency signal exposure on brain glucose metabolism |
| Q39306598 | Electromagnetic Fields, Pulsed Radiofrequency Radiation, and Epigenetics: How Wireless Technologies May Affect Childhood Development |
| Q37084200 | Electromagnetic pollution: another risk factor for infertility, or a red herring? |
| Q28730323 | Electromagnetic treatment to old Alzheimer's mice reverses β-amyloid deposition, modifies cerebral blood flow, and provides selected cognitive benefit |
| Q28395302 | Epidemiologic and molecular prognostic review of glioblastoma |
| Q34154936 | Epidemiology and etiology of meningioma |
| Q23912276 | Estimation of RF energy absorbed in the brain from mobile phones in the Interphone Study |
| Q30234845 | Evaluation of Mobile Phone and Cordless Phone Use and Glioma Risk Using the Bradford Hill Viewpoints from 1965 on Association or Causation |
| Q57752776 | Evaluation of the Validity of a Nonlinear J-Shaped Dose-Response Relationship in Cancers Induced by Exposure to Radiofrequency Electromagnetic Fields |
| Q90845231 | Evaluation of the genotoxicity of cell phone radiofrequency radiation in male and female rats and mice following subchronic exposure |
| Q35839656 | Exposure Knowledge and Perception of Wireless Communication Technologies |
| Q35851767 | Exposure Perception as a Key Indicator of Risk Perception and Acceptance of Sources of Radio Frequency Electromagnetic Fields |
| Q37945806 | Exposure limits: the underestimation of absorbed cell phone radiation, especially in children |
| Q44876931 | Exposure to a specific time-varying electromagnetic field inhibits cell proliferation via cAMP and ERK signaling in cancer cells. |
| Q39661116 | GSM 900 MHz microwave radiation affects embryo development of Japanese quails. |
| Q39328965 | Glial markers and emotional memory in rats following acute cerebral radiofrequency exposures. |
| Q90580382 | Glioblastoma Cellular Origin and the Firework Pattern of Cancer Genesis from the Subventricular Zone |
| Q46820292 | Glioma. |
| Q30416703 | Health risks associated with mobile phones use |
| Q98289214 | Health risks from radiofrequency radiation, including 5G, should be assessed by experts with no conflicts of interest |
| Q30358624 | High radiofrequency radiation at Stockholm Old Town: An exposimeter study including the Royal Castle, Supreme Court, three major squares and the Swedish Parliament. |
| Q82863415 | Hormonal effect on meningioma growth |
| Q28397413 | INTEROCC case-control study: lack of association between glioma tumors and occupational exposure to selected combustion products, dusts and other chemical agents |
| Q28393216 | Immune factors and viral interactions in brain cancer etiology and outcomes, The 2016 Brain Tumor Epidemiology Consortium Meeting report |
| Q38885159 | Impact of random and systematic recall errors and selection bias in case--control studies on mobile phone use and brain tumors in adolescents (CEFALO study). |
| Q30471309 | Increasing incidence of glioblastoma multiforme and meningioma, and decreasing incidence of Schwannoma (2000-2008): Findings of a multicenter Australian study |
| Q28392585 | Increasing rates of brain tumours in the Swedish national inpatient register and the causes of death register |
| Q30428250 | International and national expert group evaluations: biological/health effects of radiofrequency fields |
| Q51159021 | Is the incidence of brain tumors really increasing? A population-based analysis from a cancer registry. |
| Q36313066 | Leveraging ethnic group incidence variation to investigate genetic susceptibility to glioma: a novel candidate SNP approach |
| Q55463059 | Location of gliomas in relation to mobile telephone use: a case-case and case-specular analysis. |
| Q36175055 | Long-Term Effects of Exposure to Ionizing Irradiation on Periodontal Health Status - The Tinea capitis Cohort Study |
| Q39078388 | Long-term recall accuracy for mobile phone calls in young Japanese people: A follow-up validation study using software-modified phones |
| Q92461267 | Low-Level Radiofrequency Exposure Does Not Induce Changes in MSC Biology: An in vitro Study for the Prevention of NIR-Related Damage |
| Q57049529 | Low-intensity electromagnetic fields induce human cryptochrome to modulate intracellular reactive oxygen species |
| Q47108936 | Measurements of Radiofrequency Radiation with a Body-Borne Exposimeter in Swedish Schools with Wi-Fi |
| Q30451197 | Meningioma patients diagnosed 2007-2009 and the association with use of mobile and cordless phones: a case-control study |
| Q52695212 | Meningioma recurrence. |
| Q48905945 | Microwave fields have little effect on α-synuclein aggregation in a Caenorhabditis elegans model of Parkinson's disease |
| Q38885165 | Mobile phone use and brain tumors in children and adolescents: a multicenter case-control study |
| Q40190367 | Mobile phone use and brain tumours in the CERENAT case-control study |
| Q30356510 | Mobile phone use and glioma risk: A systematic review and meta-analysis. |
| Q30469657 | Mobile phone use and glioma risk: comparison of epidemiological study results with incidence trends in the United States |
| Q60304909 | Mobile phone use and incidence of brain tumour histological types, grading or anatomical location: a population-based ecological study |
| Q26743774 | Mobile phone use and possible cancer risk: Current perspectives in India |
| Q28397457 | Mobile phone use and risk for intracranial tumors |
| Q50480820 | Mobile phone use and risk of brain neoplasms and other cancers: prospective study. |
| Q34047989 | Mobile phone use and risk of brain tumours: a systematic review of association between study quality, source of funding, and research outcomes |
| Q38174534 | Mobile phone use and risk of intracranial tumors: a consistency analysis |
| Q30474695 | Mobile phones and head tumours. The discrepancies in cause-effect relationships in the epidemiological studies - how do they arise? |
| Q30471612 | Mobile phones, brain tumors, and the interphone study: where are we now? |
| Q42845333 | Mobile phones, non-ionizing radiofrequency fields and brain cancer: is there an adaptive response? |
| Q30448116 | Multifocal Breast Cancer in Young Women with Prolonged Contact between Their Breasts and Their Cellular Phones |
| Q36512223 | NMR imaging of cell phone radiation absorption in brain tissue |
| Q36588418 | New Zealand adolescents' cellphone and cordless phone user-habits: are they at increased risk of brain tumours already? A cross-sectional study |
| Q59008600 | No link found between mobile phones and cancer |
| Q57298636 | Nonparticipation Selection Bias in the MOBI-Kids Study |
| Q57482837 | Occurrence of primary brain tumors in cochlear implant patients in Sweden between 1989 and 2014 |
| Q38145294 | Outcome of elderly patients undergoing intracranial meningioma resection--a systematic review and meta-analysis. |
| Q38543541 | Oxidative mechanisms of biological activity of low-intensity radiofrequency radiation |
| Q50870669 | Pathophysiology of Meningioma Growth in Pregnancy. |
| Q63352846 | Personal radio use and cancer risks among 48,518 British police officers and staff from the Airwave Health Monitoring Study |
| Q84597143 | Policy-ready science |
| Q83911864 | Primary brain tumours in adults |
| Q36378587 | Probabilistic multiple-bias modelling applied to the Canadian data from the INTERPHONE study of mobile phone use and risk of glioma, meningioma, acoustic neuroma, and parotid gland tumors |
| Q38724147 | RF-EMF exposure at 1800 MHz did not elicit DNA damage or abnormal cellular behaviors in different neurogenic cells |
| Q24622082 | Radiation and cancer risk: a continuing challenge for epidemiologists |
| Q55347689 | Radiofrequency Electromagnetic Radiation and Memory Performance: Sources of Uncertainty in Epidemiological Cohort Studies. |
| Q39294005 | Radiofrequency Exposure Amongst Employees of Mobile Network Operators and Broadcasters |
| Q90885002 | Radiofrequency electromagnetic field exposure assessment: a pilot study on mobile phone signal strength and transmitted power levels |
| Q38386157 | Radiofrequency electromagnetic radiation exposure inside the metro tube infrastructure in Warszawa |
| Q28389216 | Radiofrequency radiation at Stockholm Central Railway Station in Sweden and some medical aspects on public exposure to RF fields |
| Q55438126 | Radiofrequency radiation from nearby base stations gives high levels in an apartment in Stockholm, Sweden: A case report. |
| Q40414068 | Radiofrequency-electromagnetic field exposures in kindergarten children |
| Q48459431 | Re: mobile phone use and brain tumours in the CERENAT case--control study |
| Q47914296 | Recall accuracy of mobile phone calls among Japanese young people |
| Q47413670 | Recent advances in the effects of microwave radiation on brains |
| Q33804278 | Residential radon exposure and brain cancer: an ecological study in a radon prone area (Galicia, Spain). |
| Q30376474 | Review of the Evidence that Transcranial Electromagnetic Treatment will be a Safe and Effective Therapeutic Against Alzheimer's Disease |
| Q38959889 | Review: Weak radiofrequency radiation exposure from mobile phone radiation on plants |
| Q23912277 | Risk of brain tumours in relation to estimated RF dose from mobile phones: results from five Interphone countries |
| Q43793020 | Stochastic method for determination of the organ-specific averaged SAR in realistic environments at 950 MHz. |
| Q63966081 | Survival of glioma patients in relation to mobile phone use in Denmark, Finland and Sweden |
| Q34226696 | Systematic review of wireless phone use and brain cancer and other head tumors |
| Q28383443 | The Glioma International Case-Control Study: A Report From the Genetic Epidemiology of Glioma International Consortium |
| Q28396298 | The Intracranial Distribution of Gliomas in Relation to Exposure From Mobile Phones: Analyses From the INTERPHONE Study |
| Q28394698 | The MOBI-Kids Study Protocol: Challenges in Assessing Childhood and Adolescent Exposure to Electromagnetic Fields from Wireless Telecommunication Technologies and Possible Association with Brain Tumor Risk |
| Q35185547 | The Temporal Structure of Scientific Consensus Formation |
| Q37664521 | The effects of the duration of mobile phone use on heart rate variability parameters in healthy subjects |
| Q55460311 | The epidemiology of glioma in adults: a "state of the science" review. |
| Q87396035 | The future of cancer prevention |
| Q42344134 | The hazards of hazard identification in environmental epidemiology |
| Q99357608 | The outcome of intracranial meningioma surgery in octogenarians: matched cohort study |
| Q46299643 | The response of human bacteria to static magnetic field and radiofrequency electromagnetic field |
| Q55408456 | The role of income in brain tumor patients: a descriptive register-based study : No correlation between patients' income and development of brain cancer. |
| Q28391352 | The role of the location of personal exposimeters on the human body in their use for assessing exposure to the electromagnetic field in the radiofrequency range 98-2450 MHz and compliance analysis: evaluation by virtual measurements |
| Q39752361 | Time trend in incidence of malignant neoplasms of the central nervous system in relation to mobile phone use among young people in Japan |
| Q39968796 | Time trends (1998-2007) in brain cancer incidence rates in relation to mobile phone use in England. |
| Q28395670 | Transcriptome analysis reveals the contribution of thermal and the specific effects in cellular response to millimeter wave exposure |
| Q48310212 | Trends in incidence of primary brain cancer in New Zealand, 1995 to 2010. |
| Q24634892 | Use of mobile phones and risk of brain tumours: update of Danish cohort study |
| Q42643373 | Using model organism Saccharomyces cerevisiae to evaluate the effects of ELF-MF and RF-EMF exposure on global gene expression |
| Q85887867 | Validation of self-reported start year of mobile phone use in a Swedish case-control study on radiofrequency fields and acoustic neuroma risk |
| Q48357774 | Values add value: an online tool enhances postgraduate evidence-based practice learning |
| Q55457226 | Wireless Phone Use and Risk of Adult Glioma: Evidence from a Meta-Analysis. |
| Q45977323 | Wireless smart meters and public acceptance: the environment, limited choices, and precautionary politics. |
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