Evidence map›Paper›PMID 34609586›Full record

ArticleInternational archives of occupational and environmental health2022

Serum intracellular adhesion molecule-1 and interleukin-8 as predictors of pulmonary impairment among workers in secondary copper smelters.

Marwa Mohammed Fouad, Mona Abdallah Ramadan

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Article in International archives of occupational and environmental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

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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

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Marwa Mohammed FouadOccupational and Environmental Medicine Department, Faculty of Medicine, Cairo University, Giza, Egypt.
Mona Abdallah RamadanOccupational and Environmental Medicine Department, Faculty of Medicine, Cairo University, Giza, Egypt. drmonaabd@yahoo.com.ORCID http://orcid.org/0000-0002-1065-9824
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCopper smelter workers are exposed to harmful chemical agents in dust and fumes which contain harmful metals such as copper and arsenic. These substances are known to be respiratory irritants.

methodsThis study aimed at investigating the effect of occupational exposure to copper and arsenic on the respiratory system. A group of 75 male exposed workers, and 75 male administrative employees (control group) were recruited from a secondary copper smelting factory. Full history, complete clinical examination, ventilatory function parameters (FVC, FEV1, FVC/FEV1 and FEF), and chest X-ray were done for both groups. Serum levels of ICAM-1 and IL8 (as markers of epithelial injury) were measured by ELISA. Serum copper and arsenic were measured by atomic absorption spectrophotometer.

resultsThe exposed group was associated with increased respiratory symptoms, higher serum copper, arsenic, and ICAM-1and Il-8 as compared to the control group. There was a significant decrease in ventilatory parameters among the exposed group: 58.7% of the exposed group had restrictive lung impairment, 40% had obstructive impairment. In the exposed group a positive correlation between serum copper, arsenic and serum ICAM and IL8 was found. While a negative correlation was observed between both serum ICAM, IL8 and ventilatory parameters among the exposed group. Moreover, 36% of the exposed group had radiological infiltrates on chest X.ray.

conclusionOccupational exposure to copper and arsenic was associated with ventilatory and radiological impairment, with a corresponding increase in the serum level of ICAM-1 and IL8, which can be used as biomarkers for pulmonary impairment among copper smelter workers.

Indexed as

ArsenicOccupational ExposureCopperHumansInterleukin-8LungMaleArsenicCopperInterleukin-8ArsenicCopper smelterICAM-1IL8Ventilatory function parametersX-ray

Identifiers

PMID34609586
OpenAlexW3202831703

What OpenQuestion holds

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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.