Evidence map›Paper›PMID 38783888›Full record

ReviewIndian journal of occupational and environmental medicine

Investigation of the Adverse Health Effects of Cell Phone Radiation and Propose Solutions to Minimize Them: A Systematic Review.

Hadis Elyasi, Masoud Ghanbari, Farshad Nadri

Abstract readReview
In one paragraph

Review in Indian journal of occupational and environmental medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Hadis ElyasiResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah, Iran.
Masoud GhanbariAssociate Professor, Department of Occupational Health Engineering, Faculty of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Farshad NadriResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, mobile phones are one of the most common devices emitting electromagnetic radiation and are available to more than seven billion people in different age groups around the world. The effects of electromagnetic radiation on biological systems have been studied for several years. In this systematic review to find relevant articles, international databases such as Google Scholar, PubMed, Scopus, Science Direct, Web of Science, and Cochrane were used since 2007-2022 by selecting appropriate keywords. The result revealed that exposure to cell phone radiation can lead to disturb in the metabolic activity of the cerebellum by increasing the migration of granulosa cells, decrease the water around the fetus in pregnant women, decrease in the number of blood plates, increasing levels of ALT and AST that they are the key biomarkers of liver damage, decrease of phagocytosis and induced apoptosis of neutrophils, changes at the level of glucose and even at the microscopic level of pancreas this may be a predisposing factor for diabetes, increment in tissue temperature in all depth of the brain tissue, EMF increase the volume, weight, and atresia follicles of the ovaries of the children, also it can cause oxidative stress, DNA fragmentation, etc. Mobile phone radiation is harmful and depends on its intensity, frequency, wave type, and exposure duration. It can cause different biological effects in humans. Due to the uncertainty of the results and mechanism of the effect of these waves, research in this field is still ongoing.

Indexed as

Healthhumanmobile phoneradiation

Identifiers

PMID38783888
PMCPMC11111148

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.