Evidence map›Paper›PMID 40259937›Full record

ArticleJournal of biomedical physics & engineering2025

Effect of Non-Ionizing Radiations on Liver and Kidney Function Tests in an Animal Model.

Somayeh Farahani, Fatemeh Kadivar, Fatemeh Khajeh, Manzar Banoo Shojaeifard

Abstract read
In one paragraph

Article in Journal of biomedical physics & engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Somayeh FarahaniIonizing and Non-ionizing Radiation Protection Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Fatemeh KadivarIonizing and Non-ionizing Radiation Protection Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Fatemeh KhajehDepartment of Physiology, Fasa University of Medical Sciences, Fasa, Iran.
Manzar Banoo ShojaeifardDepartment of Physiology, Fasa University of Medical Sciences, Fasa, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nowadays, the growing use of non-ionizing electromagnetic radiation has raised concerns about its potential health effects. Objective: In this work, an animal model exposed to Wi-Fi and jammer signals was used to examine the effects of non-ionizing electromagnetic radiation on kidney and liver function. Material and Methods: In this experimental study, twenty-one male Wistar Albino rats were separated into three groups: Wi-Fi, jammer, and sham groups. The animals were exposed to electromagnetic radiation for two hours per day for two weeks. Blood samples and kidney and liver tissues were collected and analyzed for various biochemical parameters. Results: The findings of this study showed a mild inflammatory response in both tissues after exposure to the fields. However, no notable or serious alterations were noted in the groups under study. The Wi-Fi and jammer signals had no significant impact on creatinine, albumin, blood urea nitrogen, cholesterol, high-density lipoprotein, triglycerides, albumin/globulin ratio, total bilirubin, direct bilirubin, and alkaline phosphatase levels. However, the jammer group revealed a notable decline in low-density lipoprotein compared to the sham group. Significant differences were observed in the levels of aspartate aminotransferase and alanine aminotransferase between the Wi-Fi and sham groups but not between the other groups. Conclusion: This work emphasizes the importance of considering individual organ characteristics in response to electromagnetic radiation exposure. Prolonged or closer exposure to the radiation source may significantly affect the organ function.

Indexed as

Jammer SignalsKidney Function TestsLiver Function TestsNon-ionizingRadiationWi-Fi Signals

Identifiers

PMID40259937
PMCPMC12009467

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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.