ArticleEnvironmental monitoring and assessment2020
Estimation of arsenic background concentration in stream sediments in Zia-Abad area (NW Iran).
Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Increased urinary arsenic concentration in newly diagnosed type 2 diabetes mellitus: a gender-independent, smoking-dependent exposure biomarker in older adults in Tehran.Environmental science and pollution research international · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Zia-Abad is in Qazvin Province (NW Iran), with many farmlands that cover all parts of the area. The purpose of this research is to determine the background concentration of arsenic in stream sediments of Zia-Abad. The main geological units of the area include volcanic and sedimentary rocks composed of rhyolite, dacite, tuff, limestone, dolomite, sandstone, and shale. Several mines occur in this area, including the abandoned Shakin Pb-Ag-Si mine and many Si active mines. It is important to assess As contents in sediments because sediments with concentrations of different potentially toxic elements can have different effects on ecology. A total of 313 samples were collected from stream sediments and analyzed by ICP-MS. However, data distribution is not normal, so for converting to normal distribution, the logarithmic, and z = Ln(x-α) methods are used. The background is determined using median (Md ± 2MAD), means, and standard deviations concentrations of As. On the basis of the results of this research, it can be concluded that arsenic contents of sediments in the area are more than probable effect concentrations and potentially can have environmental impacts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.