Evidence map›Paper›PMID 29276705›Full record

ReviewFrontiers in public health2017

Are Exposures to Multiple Frequencies the Key to Future Radiofrequency Research?

Zenon Sienkiewicz, Carolina Calderón, Kerry A Broom, Darren Addison, Amélie Gavard, Louise Lundberg, Myron Maslanyj

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

7 authors.

Zenon SienkiewiczCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Carolina CalderónCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Kerry A BroomCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Darren AddisonCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Amélie GavardCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Louise LundbergCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Myron MaslanyjCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an extensive literature investigating possible effects of exposure to radiofrequency (RF) electromagnetic fields associated with mobile phone technologies. This has not identified any public health risks with any degree of certainty. Some epidemiological studies have observed associations between heavy users of mobile phones and some types of cancer, but animal studies do not support this association, although a few studies have reported increased tumor yields. However, there is a crucial difference between epidemiology studies and laboratory work in terms of signals investigated: most people are exposed to a complex mixture of frequencies and signals at varying intensities, whereas the majority of animal studies have been performed using a single frequency or intensity. Whether this might explain the differences in outcome will be discussed, and whether there is a need for additional laboratory investigations that reproduce more accurately realistic exposure conditions will be considered.

Indexed as

animal studiescancermultiple exposuresradiofrequenciesreview

Identifiers

PMID29276705
PMCPMC5727023

What OpenQuestion holds

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LicenceCC BY
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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.