Evidence map›Paper›PMID 33072341›Full record

ReviewAnnals of occupational and environmental medicine2020

A work-relatedness assessment in epidemiological case investigation of occupational cancers: I. Principles.

Kihun Kim, Jungwon Kim

Abstract readReview
In one paragraph

Review in Annals of occupational and environmental medicine, 2020. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Update on Occupational Cancer for Better Cancer Prevention and Control.Asian Pacific journal of cancer prevention : APJCP · 2024
    Review
  3. 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

2 authors.

Kihun KimDepartment of Occupational and Environmental Medicine, Kosin University Gospel Hospital, Busan, Korea.ORCID https://orcid.org/0000-0001-6445-6881
Jungwon KimDepartment of Occupational and Environmental Medicine, Kosin University Gospel Hospital, Busan, Korea.ORCID https://orcid.org/0000-0003-3836-8890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is important to identify the causal relationship between occupational exposure and the disease in the area of compensation because most cancers have long latent period. This review presents the principles that should be considered when evaluating the work-relatedness. We reviewed reports on occupational cancers published by the International Agency for Research on Cancer, American Conference of Governmental Industrial Hygienists, National Toxicology Program, Environmental Protection Agency, European Union, which are the world's most prestigious organizations. In addition, we reviewed relevant papers and books published in Korea. The process is conducted in the order of cancer diagnosis, exposure assessment for carcinogens, and work-relatedness assessment. The probability of causation is determined stochastically rather than deterministically. There is no absolute standard for accreditation criteria and results may vary according to expert opinions and in each country or organization. Revealing the causal relationship of occupational cancers is a difficult process owing to inconsistency in relevant epidemiological studies, lack of well-established biological mechanisms, loss of objective occupational historical data, and other complexity of individual cases. Causation is unclear in many cases. Nevertheless, the data should be reviewed in detail for each case suspected of work-related cancers, and an assessment should be made through valid and plausible logic and literature evidences.

Indexed as

CarcinogensCausationOccupational exposureWork-relatedness assessment

Identifiers

PMID33072341
PMCPMC7533286

What OpenQuestion holds

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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.