Evidence map›Paper›PMID 33078352›Full record

ArticleEnvironmental science and pollution research international2021

Is there a relationship between homes' radon gas of MS and non-MS individuals, and the patients' paraclinical magnetic resonance imaging and visually evoked potentials in Yazd-Iran?

Maryam Entezari, Mohammad Hassan Ehrampoush, Abolghasem Rahimdel, Mohsen Askar Shahi, Naeimeh Keyghobady, Mahrokh Jalili, Zeynab Abbaszadeh Fathabadi, Monireh Fallah Yakhdani, Ali Asghar Ebrahimi

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  5. The toxicity of SiOJournal of environmental health science & engineering · 2021
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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

9 authors at 2 institutions in 1 country.

Maryam EntezariEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mohammad Hassan EhrampoushEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abolghasem RahimdelNeurology Department, Shahid Sadoughi Hospital, Yazd University of Medical Science, Yazd, Iran.
Mohsen Askar ShahiDepartment of Biostatistics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Naeimeh KeyghobadyDepartment of Biostatistics and Epidemiology, Faculty of Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mahrokh JaliliEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Zeynab Abbaszadeh FathabadiEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Monireh Fallah YakhdaniEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Ali Asghar EbrahimiEnvironmental Science and Technology Research Center, Department of Environmental Health Engineering, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. ebrahimi20007@gmail.com.ORCID http://orcid.org/0000-0001-8542-5291
Shahid Sadoughi University of Medical Sciences and Health Services · IRYazd University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term inhalation of radon gas can cause harm to humans and lead to many diseases. One of these diseases is multiple sclerosis (MS), the most common chronic disease of the central nervous system, which alters the brain structure and impedes the rapid transmission of nerve signals throughout the neuron system. Therefore, this study aimed to investigate the relationship of the radon gas concentration in residential homes of MS and non-MS individuals with their results of paraclinical MRI and VEP in Yazd City, Iran. The radon gas concentration was measured in residential homes of 44 people with MS and 100 healthy people. To this end, the questionnaire of radon gas monitoring in residential buildings was administered, and the radon gas concentration was measured by CR-39 detectors. The mean radon concentrations in the homes of MS and non-MS people were 69.51 and 70.83, respectively. A significant positive relationship was found between radon concentration and building's age (P = 0.038). Furthermore, radon concentration had a significant inverse relationship with the building's ventilation (P = 0.053) and cooling systems (P = 0.021). No significant relationship was observed between total radon concentration and MS incidence (P = 0.88). Moreover, no significant correlation was found between radon concentration and location of the plaque in MRI test results of the patients. However, it showed an inverse non-significant correlation with the plaque's number (r = - 0.12, P = 0.42). Further studies in this area are recommended.

Indexed as

Air Pollutants, RadioactiveAir Pollution, IndoorMultiple SclerosisRadiation MonitoringRadonCitiesEvoked PotentialsHousingHumansIranMagnetic Resonance ImagingAir Pollutants, RadioactiveRadonBuilding materialsCR-39Magnetic resonance imaging (MRI)Multiple sclerosis (MS)RadonVisually evoked potentials (VEPs)

Identifiers

PMID33078352
OpenAlexW3092712584

What OpenQuestion holds

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Registered trials

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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.