Note: This study found no significant biological effects under its experimental conditions. We include all studies for scientific completeness.
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.
Momoli F, Siemiatycki J, McBride ML, Parent MÉ, Richardson L, Bedard D, Platt R, Vrijheid M, Cardis E, Krewski D. · 2017
View Original AbstractHigh mobile phone use was associated with increased glioma risk but not with meningioma, acoustic neuroma, or parotid gland tumors in the Canadian Interphone data.
Plain English Summary
Researchers re-analyzed Canadian data from the 13-country Interphone case-control study (2001–2004) to evaluate associations between mobile phone use and risks of brain, acoustic neuroma, and parotid gland tumors. For glioma, the odds ratio for the highest quartile of use (>558 lifetime hours) compared to non-regular users was 2.0 (95% CI 1.2–3.4), and after adjusting for selection and recall biases it became 2.2 (95% limits 1.3–4.1). There was little evidence of increased risk for meningioma, acoustic neuroma, or parotid gland tumors.
Why This Matters
Adjustments for selection and recall biases did not materially affect the interpretation of the Canadian results. The researchers applied a probabilistic multiple-bias model using validation data from billing records and nonparticipant questionnaires to address recall error and selective participation. The modeling aimed to adjust for these sources of uncertainty and to facilitate interpretation.
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.
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/},
}