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Mobile Phone Use and Acoustic Neuromas

2005· letter· en· W1968836600 on OpenAlexfundno aff
Robert E. Tarone, Peter D. Inskip

Bibliographic record

VenueEpidemiology · 2005
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsnot available
FundersUniversity of TorontoInstitute for Clinical Evaluative Sciences
KeywordsLateralityMedicineAudiologyOdds ratioAcoustic neuromaConfidence intervalInternal medicine

Abstract

fetched live from OpenAlex

To the Editor: Lönn et al1 state that a method of laterality analysis used in previous studies of cellular telephones and brain tumors “assumes that tumors are equally likely to occur on the left and right side in the absence of mobile phone exposure.” This is incorrect. The significance test for the 2 × 2 case-only laterality table used in prior studies2–4 is valid even if tumors are more likely to occur on 1 side of the brain in the absence of exposure.2 The square-root of the odds ratio from the 2 × 2 case-only laterality table estimates the ratio of the acoustic neuroma risk on the telephone-exposed side of the brain to that on the unexposed side. This laterality risk ratio is a measure of the tumorigenic potential of cellular telephone use. The assumption that tumors are equally likely on the left and right in the absence of exposure is only required to transform this laterality risk ratio to the relative risk in cellular telephone users compared with nonusers.2 The laterality analysis in the Swedish study1 begins by dividing cases into a left-sided group and a right-sided group based on the acoustic neuroma location. Each control is then randomly assigned to a case group, with ipsilateral telephone exposure defined with respect to the tumor side in each group. Lönn et al report that 59% of the acoustic neuromas were right-sided tumors; however, they do not report the laterality distribution assumed in their control assignment. Nine cases were excluded from their laterality analysis without explanation, possibly because there were cases with bilateral acoustic neuromas. In the National Cancer Institute study,2 there were 4 cases with bilateral tumors (all neurofibromatosis patients); 3 had never used a cellular telephone, and 1 was a regular cellular telephone user. The reporting by Lönn et al of only the numbers of cases with long-term exposure to summarize study size in their Table 4 exaggerates the difference between the Swedish and Danish Interphone studies. In the Danish study,4 there were 15 controls who had used a cellular telephone for 10 or more years compared with 26 controls in the Swedish study.1 Table 4 of Lönn et al highlights an odds ratio estimate from the National Cancer Institute study of 1.9 for more than 5 years of cellular phone use; of the 5 cases who had used cellular telephones for more than 5 years, 2 had tumors on the usual side of cellular telephone use, 2 had tumors on the opposite side of usual cellular telephone use, and 1 had bilateral tumors and was a right-sided cellular phone user. Thus, consideration of laterality of cell phone use does not lend support to a causal interpretation of the elevated odds ratio estimate. Robert E. Tarone International Epidemiology Institute, Rockville, Maryland, [email protected] Peter D. Inskip Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.273
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2005
Admission routes1
Has abstractyes

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