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Probabilistic Multiple-Bias Modeling Applied to the Canadian Data From the Interphone Study of Mobile Phone Use and Risk of Glioma, Meningioma, Acoustic Neuroma, and Parotid Gland Tumors.

No Effects Found

Momoli F, Siemiatycki J, McBride ML, Parent MÉ, Richardson L, Bedard D, Platt R, Vrijheid M, Cardis E, Krewski D. · 2017

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Heavy mobile phone users showed double the glioma risk even after correcting for study biases that typically weaken such associations.

Plain English Summary

Summary written for general audiences

Canadian researchers re-analyzed data from the large Interphone study to see if mobile phone use increases brain tumor risk, using advanced statistical methods to correct for study biases. They found that people with the heaviest phone use (more than 558 lifetime hours) had roughly double the risk of developing glioma, the most common malignant brain tumor. Even after accounting for potential errors in how people remembered their phone use and who participated in the study, this increased risk remained significant.

Study Details

We undertook a re-analysis of the Canadian data from the 13-country case-control Interphone Study (2001–2004), in which researchers evaluated the associations of mobile phone use with the risks of brain, acoustic neuroma, and parotid gland tumors.

We applied a probabilistic multiple-bias model to address possible biases simultaneously, using vali...

For glioma, when comparing those in the highest quartile of use (>558 lifetime hours) to those who w...

Adjustments for selection and recall biases did not materially affect interpretation in our results from Canadian data.

Cite This Study
Momoli F, Siemiatycki J, McBride ML, Parent MÉ, Richardson L, Bedard D, Platt R, Vrijheid M, Cardis E, Krewski D. (2017). Probabilistic Multiple-Bias Modeling Applied to the Canadian Data From the Interphone Study of Mobile Phone Use and Risk of Glioma, Meningioma, Acoustic Neuroma, and Parotid Gland Tumors. Am J Epidemiol. 186(7):885-893, 2017.
Show BibTeX
@article{f_2017_probabilistic_multiplebias_modeling_applied_3509,
  author = {Momoli F and Siemiatycki J and McBride ML and Parent MÉ and Richardson L and Bedard D and Platt R and Vrijheid M and Cardis E and Krewski D.},
  title = {Probabilistic Multiple-Bias Modeling Applied to the Canadian Data From the Interphone Study of Mobile Phone Use and Risk of Glioma, Meningioma, Acoustic Neuroma, and Parotid Gland Tumors.},
  year = {2017},
  
  url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860390/},
}

Quick Questions About This Study

Canadian researchers re-analyzed data from the large Interphone study to see if mobile phone use increases brain tumor risk, using advanced statistical methods to correct for study biases. They found that people with the heaviest phone use (more than 558 lifetime hours) had roughly double the risk of developing glioma, the most common malignant brain tumor. Even after accounting for potential errors in how people remembered their phone use and who participated in the study, this increased risk remained significant.