Evidence map›Paper›PMID 32030168›Full record

ArticleJournal of environmental health science & engineering2019

Indoor radon concentrations in residential houses, processing factories, and mines in Neyriz, Iran.

Samaneh Shahsavani, Narges Shamsedini, Hamid Reza Tabatabaei, Mohammad Hoseini

Open access · bronzeAbstract read
In one paragraph

Article in Journal of environmental health science & engineering, 2019. 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
1.3field-weighted citation impact, top 19% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Effect of heat treatment on the emission rate of radon from red sandstone.Environmental science and pollution research international · 2021
    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

4 authors at 1 institution in 1 country.

Samaneh Shahsavani1Department of Environmental Health Engineering, School of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Narges Shamsedini1Department of Environmental Health Engineering, School of Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Hamid Reza Tabatabaei3Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad Hoseini4Research Center for Health Sciences, Institute of Health, Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Shiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to determine radon concentrations in mines, stone processing factories, residential houses, and public areas, as well as calculating its effective dose in Neyriz, Iran.

methodA total of 74 alpha Track detectors (CR-39 detector) were installed at the desired locations based on the US-EPA's protocol. After 3 months the detectors were collected and delivered to a Radon Reference Laboratory for analyzing.

resultsMean ± SD, minimum and maximum radon concentrations in the sampling buildings were 29.93 ± 12.63, 10.33, and 66.76 Bq/m

conclusionIt is necessary to conduct further studies in the field of regional geology and determine the sources that release radon in these areas to prevent further increases in radon concentration due to the proximity and plurality of mines and factories.

Indexed as

Air pollutantsChemicals and drugsGasesInorganic chemicalsRadioactive carcinogenRadon

Identifiers

PMID32030168
PMCPMC6985355
OpenAlexW3000419308

What OpenQuestion holds

Textmetadata
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.