Evidence map›Paper›PMID 38133359›Full record

ArticleToxics2023

Assessment and Exposure Analysis of Trace Metals in Different Age Groups of the Male Population in Southern Punjab, Pakistan.

Sajjad Hussain, Tasawar Khanam, Subhan Ullah, Fouzia Aziz, Abdul Sattar, Imran Hussain, Muhammad Abu Bakar Saddique, Amna Maqsood, Changfeng Ding, Xingxiang Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2023. 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
1.3field-weighted citation impact, top 23% 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.

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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

11 authors at 9 institutions in 2 countries.

Sajjad HussainInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-9331-4177
Tasawar KhanamEcohealth and Toxicology Laboratory, Department of Biosciences, COMSATS University Islamabad, Islamabad 44000, Pakistan.
Subhan UllahInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Fouzia AzizDepartment of Economics, University of Layyah, Layyah 31200, Pakistan.
Abdul SattarDepartment of Agronomy, Bahauddin Zakariya University, Multan 60800, Pakistan.ORCID 0000-0002-4330-9708
Imran HussainEnvironmental Biotechnology Laboratory, Department of Biotechnology, Abbottabad Campus, COMSATS University Islamabad, Abbottabad 22020, Pakistan.
Muhammad Abu Bakar SaddiqueInstitute of Plant Breeding and Biotechnology, MNS University of Agriculture, Multan 60000, Pakistan.ORCID 0000-0001-8107-0833
Amna MaqsoodInstitute of Soil and Environmental Sciences, PMAS Arid Agriculture University, Rawalpindi 46300, Pakistan.
Changfeng DingCAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Xingxiang WangCAS Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Jianjun YangInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-3562-4019
Chinese Academy of Sciences · CNCOMSATS University Islamabad · PKBahauddin Zakariya University · PKChinese Academy of Agricultural Sciences · CNInstitute of Agricultural Resources and Regional Planning · CNMuhammad Nawaz Shareef University of Agriculture · PKPir Mehr Ali Shah Arid Agriculture University · PKThe Women University Multan · PKUniversity of Lahore · PK

Funding

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences YFD0800401
6 · The paper itself

Abstract

In developing countries, like Pakistan, the pursuit of urbanization and economic development disrupts the delicate ecosystem, resulting in additional biogeochemical emissions of heavy metals into the human habitat and posing significant health risks. The levels of these trace elements in humans remain unknown in areas at higher risk of pollution in Pakistan. In this investigation, selected trace metals including Copper (Cu), Chromium (Cr), Lead (Pb) Cadmium (Cd), Cobalt (Co), Nickel (Ni), and Arsenic (As) were examined in human hair, urine, and nail samples of different age groups from three major cities (Muzaffargarh, Multan, and Vehari) in Punjab province, Pakistan. The results revealed that the mean concentrations (ppm) of Cr (1.1) and Cu (9.1) in hair was highest in Muzaffargarh. In urine samples, the mean concentrations (μg/L) of Co (93), As (79), Cu (69), Cr (56), Ni (49), Cd (45), and Pb (35) were highest in the Multan region, while As (34) and Cr (26) were highest in Vehari. The mean concentrations (ppm) of Ni (9.2), Cr (5.6), and Pb (2.8), in nail samples were highest in Vehari; however, Multan had the highest Cu (28) concentration (ppm). In urine samples, the concentrations of all the studied metals were within permissible limits except for As (34 µg/L) and Cr (26 µg/L) in Vehari. However, in nail samples, the concentrations of Ni in Multan (8.1 ppm), Muzaffargarh (9 ppm), Vehari (9.2 ppm), and Cd (3.69 ppm) in Muzaffargarh exceeded permissible limits. Overall, the concentrations of metals in urine, nail, and hair samples were higher in adults (39-45 age group). Cr, Cu, and Ni revealed significantly higher concentrations of metals in hair and water in Multan, whereas As in water was significantly (

Indexed as

arsenicexposure sourcehealth risksPakistantrace metals

Identifiers

PMID38133359
PMCPMC10747213
OpenAlexW4388968823

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.