Evidence map›Paper›PMID 30186790›Full record

ArticleIranian journal of public health2018

Human Health Risk Assessment of Cd, Cu, Pb and Zn through Consumption of Raw and Pasteurized Cow's Milk.

Soheil Sobhanardakani

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Soheil SobhanardakaniDept. of the Environment, College of Basic Sciences, Hamadan Branch, Islamic Azad University, Hamadan, Iran.
Islamic Azad University of Hamedan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe analysis of the residual contents of heavy and toxic metals in foodstuff especially milk could be an important indicator of safety, quality, and level of pollution of the region in which the milk was produced. Therefore, the present investigation was carried out to assess human health risk of residues levels of four metals (Cd, Cu, Pb, and Zn) through consumption of raw and pasteurized cow's milk.

methodsIn this analytical-observational study, totally 72 samples of raw and pasteurized cow's milk samples were collected from market basket of Hamadan City, western Iran in 2014. After preparation and processing the samples in the laboratory, the concentration of metals were determined using inductively coupled plasma (ICP-OES). Moreover, all statistical analyses were performed using the SPSS statistical package according to Shapiro-Wilk test for normality, One Way ANOVA (Duncan Multiple Range Test), Independent t-test and Pearson's correlations.

resultsThe mean concentrations (μg/kg) of Cd, Cu, Pb and Zn in raw milk samples were 0.36±0.28, 9.77±3.91, 32.83±20.80 and 253.70±87.96, respectively and in the pasteurized milk samples were 5.57±9.33, 8.41±5.99, 25.54±26.50 and 90.12±91.52, respectively. HRI values in adults and children via consumption of raw and pasteurized cow's milk were within the safe limits (HRI < 1).

conclusionConsidering the serious contamination of some samples of raw and pasteurized milk by Cd, Pb and Zn, a control of heavy metals content during the whole production processing of milk must be applied.

Indexed as

Food safetyHealth risk indexMetal contaminationMilk

Identifiers

PMID30186790
PMCPMC6123596
OpenAlexW2891433858

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.