Evidence map›Paper›PMID 40672987›Full record

ArticleChina CDC weekly2025

The Evolving Industrial Landscape in Occupational Chronic Benzene Poisoning - 6 PLADs, China, 2020-2023.

Yan Zhang, Jin Zhou, Lei Han, Qiang Jia, Lili Du, Jin Li, Wenjie Li, Qiang Zeng, Lifang Zhou, Tongying Kang and 3 more

Abstract read
In one paragraph

Article in China CDC weekly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Yan ZhangState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Jin ZhouState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Lei HanJiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China.
Qiang JiaShandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan City, Shandong Province, China.
Lili DuSichuan Center for Disease Control and Prevention, Chengdu City, Sichuan Province, China.
Jin LiFujian Center for Prevention and Control of Occupational Diseases and Chemical Poisoning, Fuzhou City, Fujian Province, China.
Wenjie LiState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiang ZengTianjin Centers for Disease Control and Prevention, Tianjin, China.
Lifang ZhouZhejiang Center for Disease Control and Prevention, Hangzhou City, Zhejiang Province, China.
Tongying KangState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Yiting GuState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiurong ChengState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Caihong XingState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As a major producer and consumer of benzene, China has long confronted the challenge of occupational chronic benzene poisoning (OCBP). Between 2005 and 2019, OCBP in China primarily occurred in private enterprises, small- and medium-sized enterprises, and the general/special-purpose equipment manufacturing industry. However, with the continuous strengthening of national supervision and restrictions on the use of benzene-containing materials, the industrial distribution of OCBP may have changed from 2020 to 2023. Methods: A total of 6 provincial-level administrative divisions (PLADs) with concentrated benzene-related industries - Jiangsu, Zhejiang, Shandong, Sichuan, Fujian, and Tianjin - were selected for analysis. We collected data on 162 newly reported OCBP cases from 2020 to 2023. Based on the National Economic Industry Classification standards, we analyzed these cases according to enterprise size, economic type, and industry classification. Results: The number of OCBP cases in China decreased significantly, reaching a historical low of 56 cases in 2023 [accounting for 15.3% of chronic occupational poisoning (COP)], compared to an average of 256 cases annually from 2005 to 2019 (26.7% of COP). From 2020 to 2023, OCBP continued to occur predominantly in manufacturing, private, and small- and medium-sized enterprises. However, the primary industry associated with OCBP shifted to chemical raw materials and chemical products manufacturing, followed by petroleum, coal, and other fuel processing industries. Conclusions: OCBP remains a major component of COP in China. While continuing to regulate the manufacturing industry, especially small- and medium-sized enterprises, supervision should be strengthened in the evolving industries where benzene poisoning now predominantly occurs.

Indexed as

chemical manufacturing industryoccupational chronic benzene poisoningoccupational health surveillance

Identifiers

PMID40672987
PMCPMC12259382

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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.