Evidence map›Paper›PMID 40204490›Full record

ArticleIndustrial health2025

Database-driven chemical information integration: analysis of substances investigated by the investigative committee on risk assessment for preventing impairment of workers' health caused by chemical substances by the Ministry of Health, Labour and Welfare, Japan.

Yuko Ogata, Kenya Yamamoto

Abstract read
In one paragraph

Article in Industrial health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Yuko OgataDivision of Chemical Information, Research Center for Chemical Information and Management, National Institute of Occupational Safety and Health, Japan.
Kenya YamamotoDivision of Chemical Information, Research Center for Chemical Information and Management, National Institute of Occupational Safety and Health, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Ministry of Health, Labour and Welfare's (MHLW) Investigative Committee on Risk Assessment for Preventing Impairment of Workers' Health Caused by Chemical Substances has investigated the carcinogenicity of chemical substances. This investigation led several chemicals to be regulated; however, the whole picture of the investigation remains unrevealed. To provide an overview of the investigated substances and their evaluation status, we collected documents on the MHLW website between 2009 and 2021, constructed a dataset from tables of some of these documents, integrated data from the constructed dataset with data from databases such as NITE-CHRIP, and then analyzed the data in the aspects of their chemical structure, chemical management law, evaluation method, and evaluation status. We found that most of the investigated substances were existing chemicals for which employers are exempt from hazard investigations under the chemical management laws and remained in the early phases of the investigation strategy developed by the Investigative Committee. Furthermore, a comparison of basic data for risk assessment on 45 substances under assessment revealed that some have the potential for harm to be regulated. This study highlights challenges and necessities of the Japanese government's chemical management initiative for chemicals that pose a high risk to humans.

Indexed as

Databases, FactualHazardous SubstancesOccupational ExposureOccupational HealthHumansJapanRisk AssessmentHazardous SubstancesCarcinogenicityCommittee on risk assessmentDatabaseIndustrial Safety and Health Act (ISHA)NITE-CHRIPRegulation

Identifiers

PMID40204490
PMCPMC12304662

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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.