Cancers of the Brain and CNS: Global Patterns and Trends in Incidence

2018 · Harm · Insufficient evidence

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HarmInsufficient evidencePaper 1664

This correspondence critiques a prior global incidence report and states that it provides evidence suggesting radiofrequency electromagnetic field (RF-EMF) exposure, at least at high levels and long durations, can increase cancer risk.

Study snapshot

Publicationmanual · 2018
Study typeother
Reported directionHarm
Evidence ratingInsufficient

Abstract

Cancers of the Brain and CNS: Global Patterns and Trends in Incidence Mortazavi SMJ, Mortazavi SAR, Paknahad M. Cancers of the Brain and CNS: Global Patterns and Trends in Incidence. J Biomed Phys Eng. 2018 Mar 1;8(1):151-152. Abstract Miranda-Filho et al. in their recently published paper entitled "Cancers of the brain and CNS: global patterns and trends in incidence" provided a global status report of the geographic and temporal variations in the incidence of brain and CNS cancers in different countries across continents worldwide. While the authors confirm the role of genetic risk factors and ionizing radiation exposures, they claimed that no firm conclusion could be drawn about the role of exposure to non-ionizing radiation. The paper authored by Miranda-Filho et al. not only addresses a challenging issue, it can be considered as a good contribution in the field of brain and CNS cancers. However, our correspondence addresses a basic shortcoming of this paper about the role of electromagnetic fields and cancers and provides evidence showing that exposure to radiofrequency electromagnetic fields (RF- EMFs), at least at high levels and long durations, can increases the risk of cancer. Open access paper: ncbi.nlm.nih.gov

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeother
Effect directionharm
PopulationNot supplied
Sample sizeNot supplied
ExposureRF · high levels and long durations (not further specified)
Evidence strengthInsufficientConfidence: 62% · Peer reviewed: yes

Main findings

This correspondence critiques a prior global incidence report and states that it provides evidence suggesting radiofrequency electromagnetic field (RF-EMF) exposure, at least at high levels and long durations, can increase cancer risk.

Outcomes measured

  • brain cancer
  • CNS cancer
  • cancer risk (general)

Limitations

  • Correspondence/commentary rather than original epidemiologic or experimental study
  • No specific exposure metrics (frequency, SAR, duration) provided in the abstract
  • No population, sample size, or quantitative effect estimates reported
View raw extracted JSON
{
  "study_type": "other",
  "exposure": {
    "band": "RF",
    "source": null,
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": "high levels and long durations (not further specified)"
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "brain cancer",
    "CNS cancer",
    "cancer risk (general)"
  ],
  "main_findings": "This correspondence critiques a prior global incidence report and states that it provides evidence suggesting radiofrequency electromagnetic field (RF-EMF) exposure, at least at high levels and long durations, can increase cancer risk.",
  "effect_direction": "harm",
  "limitations": [
    "Correspondence/commentary rather than original epidemiologic or experimental study",
    "No specific exposure metrics (frequency, SAR, duration) provided in the abstract",
    "No population, sample size, or quantitative effect estimates reported"
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.62,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "brain cancer",
    "CNS cancer",
    "incidence trends",
    "non-ionizing radiation",
    "radiofrequency",
    "RF-EMF",
    "electromagnetic fields",
    "correspondence"
  ],
  "suggested_hubs": []
}
AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: Not supplied
PubMed: Not supplied

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