Evidence map›Paper›PMID 19337502›Full record

ReviewEnvironmental health perspectives2009

The controversy about a possible relationship between mobile phone use and cancer.

Michael Kundi

Abstract readReview
In one paragraph

Review in Environmental health perspectives, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Comment on Choi et al. Cellular Phone Use and Risk of Tumors: Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
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  8. Article
  9. Article
  10. International and national expert group evaluations: biological/health effects of radiofrequency fields.International journal of environmental research and public health · 2014
    Review
  11. NMR imaging of cell phone radiation absorption in brain tissue.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. "Dirty electricity": what, where, and should we care?Journal of exposure science & environmental epidemiology · 2010
    Review
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Michael KundiInstitute of Environmental Health, Medical University of Vienna, Vienna, Austria. michael.kundi@meduniwien.ac.at

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDuring the last decade, mobile phone use increased to almost 100% prevalence in many countries of the world. Evidence for potential health hazards accumulated in parallel by epidemiologic investigations has raised controversies about the appropriate interpretation and the degree of bias and confounding responsible for reduced or increased risk estimates. DATA SOURCES: Overall, I identified 33 epidemiologic studies in the peer-reviewed literature, most of which (25) were about brain tumors. Two groups have collected data for >or=10 years of mobile phone use: Hardell and colleagues from Sweden and the Interphone group, an international consortium from 13 countries coordinated by the International Agency for Research on Cancer. DATA SYNTHESIS: Combined odds ratios (95% confidence intervals) from these studies for glioma, acoustic neuroma, and meningioma were 1.5 (1.2-1.8); 1.3 (0.95-1.9); and 1.1 (0.8-1.4), respectively.

conclusionsMethodologic considerations revealed that three important conditions for epidemiologic studies to detect an increased risk are not met: a ) no evidence-based exposure metric is available; b) the observed duration of mobile phone use is generally still too low; c) no evidence-based selection of end points among the grossly different types of neoplasias is possible because of lack of etiologic hypotheses. Concerning risk estimates, selection bias, misclassification bias, and effects of the disease on mobile phone use could have reduced estimates, and recall bias may have led to spuriously increased risks. The overall evidence speaks in favor of an increased risk, but its magnitude cannot be assessed at present because of insufficient information on long-term use.

Indexed as

Cell PhoneResearch DesignBrain NeoplasmsHumansOdds RatioRisk AssessmentRisk Factorsacoustic neuromabrain tumorscausationepidemiologygliomameningiomamobile phonesrisk assessment

Identifiers

PMID19337502
PMCPMC2661897

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.