The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Mobile phone use and incidence of brain tumour histological types, grading or anatomical location: a population-based ecological study
Open accessAbstract
Objective: Some studies have reported increasing trends in certain brain tumours and a possible link with mobile phone use has been suggested. We examined the incidence time trends of brain tumour in Australia for three distinct time periods to ascertain the influence of improved diagnostic technologies and increase in mobile phone use on the incidence of brain tumours. Design: In a population-based ecological study, we examined trends of brain tumour over the periods 1982–1992, 1993–2002 and 2003–2013. We further compared the observed incidence during the period of substantial mobile phone use (2003–2013) with predicted (modelled) incidence for the same period by applying various relative risks, latency periods and mobile phone use scenarios. Setting: National Australian incidence registration data on primary cancers of the brain diagnosed between 1982 and 2013. Population: 16 825 eligible brain cancer cases aged 20–59 from all of Australia (10 083 males and 6742 females). Main outcome measures: Annual percentage change (APC) in brain tumour incidence based on Poisson regression analysis. Results: The overall brain tumour rates remained stable during all three periods. There was an increase in glioblastoma during 1993–2002 (APC 2.3, 95% CI 0.8 to 3.7) which was likely due to advances in the use of MRI during that period. There were no increases in any brain tumour types, including glioma (−0.6, –1.4 to 0.2) and glioblastoma (0.8, –0.4 to 2.0), during the period of substantial mobile phone use from 2003 to 2013. During that period, there was also no increase in glioma of the temporal lobe (0.5, –1.3 to 2.3), which is the location most exposed when using a mobile phone. Predicted incidence rates were higher than the observed rates for latency periods up to 15 years. Conclusions: In Australia, there has been no increase in any brain tumour histological type or glioma location that can be attributed to mobile phones.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Recent investigations have not shown an increase in the incidence of brain cancer in the population that can be attributed to mobile phone use.
“Recent investigations have not shown an increase in the incidence of brain cancer in the population that can be attributed to mobile phone use [154, 155].”
From 5G mobile networks and health—a state-of-the-science review of the research into low-level RF fields above 6 GHz (2021) · cites this paper as [155]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020
Flagged first, then by citations
Research works printed but not linked: 26
- 10.1088/0031-9155/53/11/001 · DOI
- 10.1093/ije/dyq079 · DOI
- Hardell, 2011, Pooled analysis of case-control studies on malignant brain tumours and the use of mobile and cordless phones including living and deceased subjects, Int J Oncol, 38, 1465, 10.3892/ijo.2011.947 · DOI
- 10.1093/neuonc/nou087 · DOI
- 10.1016/S1470-2045(11)70147-4 · DOI
- 10.1097/01.cej.0000203618.61936.cd · DOI
- 10.1093/neuonc/noq077 · DOI
- 10.1097/EDE.0b013e3182448295 · DOI
- 10.1002/bem.20648 · DOI
- 10.1111/1753-6405.12338 · DOI · Paper page
- 10.1136/bmj.e1147 · DOI
- Chapman, 2016, Has the incidence of brain cancer risen in Australia since the introduction of mobile phones 29 years ago?, Cancer Epidemiol, 42, 199, 10.1016/j.canep.2016.04.010 · DOI
- 10.1007/s00401-016-1545-1 · DOI
- Castillo, 2014, History and evolution of brain tumor imaging: insights through radiology, Radiology, 273, S111, 10.1148/radiol.14140130 · DOI
- 10.1093/oxfordjournals.aje.a115507 · DOI
- Philips A , Henshaw DL , Lamburn G , et al . Brain tumours: rise in Glioblastoma Multiforme incidence in England 1995–2015 suggests an adverse environmental or lifestyle factor. J of Environment and Public Health. Forthcoming 2018. · DOI
- Dobes M , Khurana VG , Shadbolt B , et al . Increasing incidence of glioblastoma multiforme and meningioma, and decreasing incidence of Schwannoma (2000-2008): Findings of a multicenter Australian study. Surg Neurol Int 2011;2.doi:10.4103/2152-7806.90696 · DOI
- 10.4103/0019-509X.49145 · DOI
- 10.1093/neuonc/3.3.141 · DOI
- Dubrow, 2011, Demographic variation in incidence of adult glioma by subtype, United States, 1992-2007, BMC Cancer, 11, 10.1186/1471-2407-11-325 · DOI
- 10.7314/APJCP.2012.13.11.5857 · DOI
- 10.1016/j.ejca.2014.05.019 · DOI
- Morgan, 2015, Mobile phone radiation causes brain tumors and should be classified as a probable human carcinogen (2A) (review), Int J Oncol, 46, 1865, 10.3892/ijo.2015.2908 · DOI
- 10.1186/1471-2288-12-177 · DOI
- 10.1136/oem.2004.019281 · DOI
- 10.1038/jes.2008.27 · DOI
Cited by
Sorted by citations
Karipidis, K., Mate, R., Urban, D., Tinker, R., & Wood, A. (2021) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-021-00297-6 · Cited by 170
Self-citationKaripidis, K., Baaken, D., Loney, T., Blettner, M., Brzozek, C., Elwood, M., Narh, C., Orsini, N., Röösli, M., Paulo, M. S., et al. (2024) · Environment International · doi:10.1016/j.envint.2024.108983 · Cited by 58
Self-citation
Metadata
- Authors
- Karipidis, K., Elwood, M., Benke, G., Sanagou, M., Tjong, L., & Croft, R. J.
- Affiliations
- Australian Radiation Protection and Nuclear Safety Agency (AU)
- University of Auckland (NZ)
- Monash University (AU)
- University of Wollongong (AU)
- Corresponding author
- Karipidis, Ken
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2018-12
- Volume
- 8
- Issue
- 12
- Pages
- e024489
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC6292417
- OpenAlex
- W2905250073
- Cited by
- 36
- References
- 1
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 1 · 2022: 5 · 2021: 12 · 2020: 4 · 2019: 3
- FWCI
- 2.69
- Type
- journal article
- Language
- en
- Update notices
- correction (2019-01-01)
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Open (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Monash University Research Portal (Monash University) (acceptedVersion, other-oa)
- Research Online (University of Wollongong) (submittedVersion)
- Figshare (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Health and Medical Research Council
- Topics
- Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Electromagnetic Fields and Biological Effects
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- mobile phone use, brain tumors, glioma, glioblastoma, temporal lobe glioma, latency period, histological subtypes, anatomical location, Australia
- MeSH terms
- Cell Phone Use, Adult, Australia, Brain, Brain Neoplasms, Female, Glioblastoma, Humans, Male, Middle Aged, Registries, Risk Factors, Incidence, Neoplasm Grading
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review