Evidence map›Paper›PMID 36429453›Full record

SynthesisInternational journal of environmental research and public health2022

Semiconductor Work, Leukemia, and Cancer Risk: A Systematic Review and Meta-Analysis.

Kyungsik Kim, Ho Kyung Sung, Kwan Lee, Sue K Park

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Kyungsik KimDepartment of Preventive Medicine, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0001-9007-7025
Ho Kyung SungInstitute for Public Healthcare, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea.ORCID 0000-0002-1207-0298
Kwan LeeDepartment of Preventive Medicine, Dongguk University College of Medicine, Gyeongju 38066, Korea.ORCID 0000-0003-2554-4170
Sue K ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0001-5002-9707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the development of the semiconductor industry over the past 60 years, various occupational diseases have been reported to coincide with rapid industrial growth. Among these occupational diseases, the association between semiconductor work and cancers, including leukemia, remains controversial. Therefore, this systematic review and meta-analysis assesses the associations between semiconductor work, leukemia, and cancer risk.

methodsThe core research databases, including PubMed, were screened for studies published until 31 July 2022. All eligible studies assessed cancer risk among workers in the semiconductor industry.

resultsNine studies were selected after a literature review. The employment period of semiconductor workers in each study was between 1965 and 2009. Semiconductor work was not significantly associated with the risk of leukemia (Relative Risk [RR], 1.02; 95% Confidence Interval [CI], 0.74-1.41) or cancer (RR, 1.00; 95% CI, 0.93-1.07).

conclusionIn this meta-analysis, semiconductor work was not significantly associated with leukemia or cancer risk. Internal comparisons, such as non-fab workers, quality of the study, employment period, and healthy worker effect, should be considered for interpretation. Furthermore, a prospective cohort study based on overall semiconductor workers in the industry could be useful to assess occupational disease risk as a mandatory component of health assessment.

Indexed as

LeukemiaNeoplasmsOccupational DiseasesOccupational ExposureHumansProspective StudiesRiskSemiconductorscancerhealth assessmentleukemiameta-analysissemiconductor

Identifiers

PMID36429453
PMCPMC9690168

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.