Evidence map›Paper›PMID 38347014›Full record

ArticleScientific reports2024

Effects of radiofrequency field from 5G communication on fecal microbiome and metabolome profiles in mice.

Xing Wang, Guiqiang Zhou, Jiajin Lin, Tongzhou Qin, Junze Du, Ling Guo, Panpan Lai, Yuntao Jing, Zhaowen Zhang, Yan Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
4.6field-weighted citation impact, top 6% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 2 institutions in 2 countries.

Xing Wang *Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Guiqiang Zhou *Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Jiajin Lin *Department of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Tongzhou QinDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Junze DuDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Ling GuoDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Panpan LaiDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Yuntao JingDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Zhaowen ZhangDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China.
Yan ZhouDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China. spring_yanzi@foxmail.com.
Guirong DingDepartment of Radiation Protection Medicine, School of Military Preventive Medicine, Air Force Medical University, Xi'an, China. dingzhao@fmmu.edu.cn.
Ministry of Education of the People's Republic of China · CNWeifang Medical University · CN

Funding

National Natural Science Foundation of China 31770905the special project of the Fourth Military Medical University 2021HKYX08
6 · The paper itself

Abstract

With the rapid development of 5G networks, the influence of the radiofrequency field (RF) generated from 5G communication equipment on human health is drawing increasing attention in public. The study aimed at assessing the effects of long-term exposure to 4.9 GHz (one of the working frequencies of 5G communication) RF field on fecal microbiome and metabolome profiles in adult male C57BL/6 mice. The animals were divided into Sham group and radiofrequency group (RF group). For RF group, the mice were whole body exposed to 4.9 GHz RF field for three weeks, 1 h/d, at average power density (PD) of 50 W/m

Indexed as

MetabolomeMicrobiotaAdultAnimalsFecesHumansMaleMetabolomicsMiceMice, Inbred C57BLRNA, Ribosomal, 16SRNA, Ribosomal, 16SFecesGut microbiotaMetaboliteMiceRadiofrequency field

Identifiers

PMID38347014
PMCPMC10861445
OpenAlexW4391741265

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.