Evidence map›Paper›PMID 35886589›Full record

ArticleInternational journal of environmental research and public health2022

Biological Assessment of Potential Exposure to Occupational Substances in Current Semiconductor Workers with at Least 5 Years of Employment.

Kyungsik Kim, Ho Kyung Sung, Jieun Jang, Chang-Mo Kang, Kwan Lee, Sue K Park

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Biomonitoring of Exposures to Solvents and Metals in Electronics Manufacturing Facilities in Batam, Indonesia.New solutions : a journal of environmental and occupational health policy : NS · 2024
    Article
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 4 institutions in 1 country.

Kyungsik KimDepartment of Preventive Medicine, College of Medicine, Seoul National University, Daehak-ro 101, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0001-9007-7025
Ho Kyung SungNational Medical Center, Institute for Public Healthcare, Eulji-ro 245, Jung-gu, Seoul 04564, Korea.ORCID 0000-0002-1207-0298
Jieun JangDepartment of Preventive Medicine, College of Medicine, Seoul National University, Daehak-ro 101, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0001-6970-9374
Chang-Mo KangResearch Institute of Radiological & Medical Sciences, Korea Institute of Radiological & Medical Sciences, Nowon-ro 75, Nowon-gu, Seoul 01812, Korea.
Kwan LeeDepartment of Preventive Medicine, College of Medicine, Dongguk University, Gyeongju 38066, Korea.ORCID 0000-0003-2554-4170
Sue K ParkDepartment of Preventive Medicine, College of Medicine, Seoul National University, Daehak-ro 101, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0001-5002-9707
Seoul National University · KRDongguk University · KRKorea Institute of Radiological and Medical Sciences · KRNational Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundthis study aimed to conduct a biological assessment of the potential exposure to carcinogenic substances in current semiconductor workers.

methodsA cross-sectional study was conducted on 306 semiconductor workers. The assessed biomarkers were as follows: (benzene) urine S-phenylmercapturic, trans,trans-muconic acid, blood benzene; (trichloroethylene) urine trichloroacetic acid; (2-ethoxyethanol) 2-ethoxyacetic acid; (arsine) urine arsenic3+, arsenic5+, monomethylarsonic, dimethylarsinic acid, arsenobetaine; (shift work) 6-hydroxymelatonin; (smoking) cotinine, and (radiation). The detection rate of these materials is defined as more than the biological exposure index (BEI) or the previous reference value.

resultsSome workers exposed to trans,trans-muconic acid, trichloroacetic acid, and arsenic5+ showed high BEI levels. Generally, there was no difference according to job categories, and workers were suspected to be exposed to other sources. The melatonin concentration tended to decrease when working at night, and cotinine was identified as an excellent surrogate marker for smoking. In the case of radiation exposure, there was no significant difference in the number of stable chromosome translocation in 19 semiconductor workers. Their estimated radiation exposure level was below the limit of detection (LOD) or near the LOD level.

conclusionIn this study, most carcinogens were below the BEI level, but verification through re-measurement was needed for workers who were identified to have a high BEI level. For continuous monitoring, a prospective cohort is necessary to deal with the healthy worker effect and assess additional materials.

Indexed as

Air Pollutants, OccupationalOccupational ExposureBenzeneBiomarkersCarcinogensCotinineCross-Sectional StudiesEmploymentEnvironmental MonitoringHumansProspective StudiesSemiconductorsTrichloroacetic AcidAir Pollutants, OccupationalBenzeneBiomarkersCarcinogensCotinineTrichloroacetic Acidbiological exposure indicescarcinogenoccupational substancessemiconductor workersurrogate marker

Identifiers

PMID35886589
PMCPMC9318163
OpenAlexW4285731091

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.