Evidence map›Paper›PMID 41111619›Full record

ArticleIndian journal of occupational and environmental medicine

Comparative Analysis of Biochemical Parameters among Workers in Autorepair Workshops with Respect to Duration of Exposure.

Chikaodili N Obi-Ezeani, Samuel C Meludu, Ifeoma J Onuora, Onyema A Onyegbule, Eugenia O Nnoruka, Chudi E Dioka

Abstract read
In one paragraph

Article in Indian journal of occupational and environmental medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chikaodili N Obi-EzeaniDepartment of Medical Laboratory Science, Chukwuemeka Odumegwu Ojukwu University, Nnewi, Anambra State, Nigeria.
Samuel C MeluduDepartment of Human Biochemistry, Nnamdi Azikiwe University, Nnewi, Anambra State, Nigeria.
Ifeoma J OnuoraDepartment of Medical Laboratory Science, Chukwuemeka Odumegwu Ojukwu University, Nnewi, Anambra State, Nigeria.
Onyema A OnyegbuleDepartment of Obstetrics and Gynecology, Federal Teaching Hospital, Owerri Imo State, Nigeria.
Eugenia O NnorukaDepartment of Medical Laboratory Science, Chukwuemeka Odumegwu Ojukwu University, Nnewi, Anambra State, Nigeria.
Chudi E DiokaDepartment of Chemical Pathology, Nnamdi Azikiwe University, Nnewi, Anambra State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Autorepair workshops expose workers to hazardous substances, including toxic metals such as lead (Pb) and cadmium (Cd). Aim: This study evaluated the impact of exposure duration on biochemical parameters among autorepair workers (ARWs) in Enugu State, Nigeria. Settings and Design: 135 participants (85 ARWs and 50 controls) were recruited. Methods and Material: Blood samples were analyzed for Pb, Cd, selenium (Se), zinc (Zn), malondialdehyde (MDA), total antioxidant capacity (TAC), and lipid profile. Statistical Analysis: Statistical Package for Social Sciences (SPSS) version 21.0 (SPSS Inc, Chicago, IL, USA) was used for data analysis. Results: ARWs had significantly higher levels of Pb, Cd, MDA, MDA/TAC ratio, total cholesterol (TC), low-density lipoprotein (LDL), non-high-density lipoprotein (nHDL), and LDL/high-density lipoprotein cholesterol (HDL) ratio, alongside lower Se, Zn, and TAC levels compared to controls ( Conclusion: This study provides valuable insight into the cumulative adverse effects of prolonged exposure to toxic metals, emphasizing the interplay between toxic metal exposure, oxidative stress, and cardiovascular risk in ARWs. Hence, there is an urgent need for workplace interventions, antioxidant supplementation, and regulatory policies to mitigate these risks.

Indexed as

Autorepair workersbiochemical parameterscadmiumcardiovascular riskleadoccupational exposureoxidative stresstoxic metalstrace elements

Identifiers

PMID41111619
PMCPMC12532160

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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.