A meta-analysis of the risk of salivary gland tumors associated with mobile phone use: the importance of correct exposure assessment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To investigate the risk of developing salivary gland tumors associated with the use of mobile phones. CONTENT: There have been a number of epidemiological studies conducted to assess for a possible association between mobile phone usage and the development of intracranial tumours, however results have been conflicting. We conducted an extensive literature search across four different databases was conducted. After selecting the articles relevant to the area of study, a total of seven studies were included in this meta-analysis, with no restrictions set on publication date or language. Studies were qualitatively assessed using the Newcastle-Ottawa scale. No significant association between the use of mobile phones and salivary gland tumors was observed (OR=1.06, 95% CI=0.86-1.32). No evidence for publication bias was detected. SUMMARY AND OUTLOOK: Our findings indicate no significant association between mobile phone usage and salivary gland tumours. However, there were many limitations encountered in these studies, suggesting that the observed result may not be an accurate estimate of the true carcinogenic risk of mobile phones, especially for heavy long-term users. In fact, the studies included in this meta-analysis highlight the need to correctly define exposure assessment in order to ascertain the risk of a certain variable.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it