Evidence map›Paper›PMID 41477053›Full record

ArticleSafety and health at work2025

Occupational Toxic Effect Episodes in a University Hospital, 2021-2024: A Descriptive Analysis Within the Korean Occupational Disease Surveillance Center.

Yangwoo Kim, Ha-Eun Lee, Jei Kim, Tae-Won Jang

Abstract read
In one paragraph

Article in Safety and health at work, 2025. 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. Article
  3. Work-Related Asthma: An Occupational Medicine Perspective.Allergy, asthma & immunology research · 2026
    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.

Yangwoo KimKorea Occupational Diseases Surveillance Center, Hanyang University Hospital, Seoul, Republic of Korea.
Ha-Eun LeeKorea Occupational Diseases Surveillance Center, Hanyang University Guri Hospital, Guri, Republic of Korea.
Jei KimKorea Occupational Diseases Surveillance Center, Hanyang University Guri Hospital, Guri, Republic of Korea.
Tae-Won JangKorea Occupational Diseases Surveillance Center, Hanyang University Guri Hospital, Guri, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Toxic effects due to occupational exposures are a substantial yet underreported public health issue. This descriptive study investigated 532 toxic exposure episodes from January 2021 to June 2024 at a single university hospital in the Republic of Korea, identified using the International Classification of Diseases, 10th Revision, codes T51-T70. Methods: Food- and medication-related cases were excluded. Two physicians classified each exposure as occupational cause, self-harm, or another cause. Occupational cases comprised 15.0% ( Results: Seasonal trends in Loess decomposition revealed a peak incidence from July to September, largely driven by insect bites. A Bayesian segmented Poisson regression showed that occupational episodes decreased by 34% monthly prior to the establishment of the Korean Occupational Disease Surveillance Center in April 2022 but increased by 48% thereafter. Conclusion: These findings underscore the need for increased surveillance and cross-sector collaboration to improve the detection, prevention, and reporting of occupational poisoning, with the Korean Occupational Disease Surveillance Center playing a pivotal role in strengthening occupational health practices.

Indexed as

occupational diseasesoccupational disease surveillance centeroccupational exposurepublic health surveillancetoxic effect

Identifiers

PMID41477053
PMCPMC12750438

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.