Evidence map›Paper›PMID 34033066›Full record

Observational studyBiological trace element research2022

Determination of Heavy Metals in Hair Dye Sale in Iranian Market: Dermal Sensitivity and Carcinogenicity Assessment.

Gholamreza Mostafaii, Fahimeh Karamali, Zahra abooSaedi, Fatemeh Atoof, Mohsen Hesami Arani, Mohammad Bagher Miranzadeh

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Biological trace element research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 19 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

6 authors at 2 institutions in 1 country.

Gholamreza MostafaiiDepartment of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran.
Fahimeh KaramaliDepartment of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran.
Zahra abooSaediDepartment of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran.
Fatemeh AtoofSocial Determinants of Health Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Mohsen Hesami AraniStudent Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Bagher MiranzadehDepartment of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran. miranzadehm@ymail.com.
Kashan University of Medical Sciences · IRIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the high consumption of cosmetics especially hair dyes in Iran, limited studies have measured human exposure to heavy metals in these products. Therefore, due to the sensitivity of the issue from a health perspective, this study was performed for the purpose of dermal risk assessment of heavy metals in different brands of hair dyes in Kashan region. The present study is an analytical-observational study. In this study, 36 samples of hair dyes from four best-selling brands in Kashan market (Iran) were selected; then the concentration of lead, cadmium, nickel, chrome, and cobalt was measured by inductively coupled plasma optical emission spectrometry (ICP-OES) and reported as μg g

Indexed as

Hair DyesMetals, HeavyCadmiumEnvironmental MonitoringHumansIranRisk AssessmentCadmiumHair DyesMetals, HeavyCosmeticHair dyeHeavy metalsPollutionRisk assessment

Identifiers

PMID34033066
OpenAlexW3165812938

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.