Evidence map›Paper›PMID 36136467›Full record

ArticleToxics2022

Hematological Effects and Benchmark Doses of Long-Term Co-Exposure to Benzene, Toluene, and Xylenes in a Follow-Up Study on Petrochemical Workers.

Zhaorui Zhang, Xin Liu, Chaofan Guo, Xinjie Zhang, Yingying Zhang, Na Deng, Guanchao Lai, Aichu Yang, Yongshun Huang, Shanfeng Dang and 4 more

Abstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
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  7. Review
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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

14 authors.

Zhaorui ZhangDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xin LiuDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Chaofan GuoDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xinjie ZhangDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yingying ZhangDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Na DengDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Guanchao LaiGuangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Aichu YangGuangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Yongshun HuangGuangdong Provincial Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, China.
Shanfeng DangOccupational Disease Prevention and Treatment Institute of Sinopec Maoming Petrochemical Company, Maoming 525000, China.
Yanqun ZhuOccupational Disease Prevention and Treatment Institute of Sinopec Maoming Petrochemical Company, Maoming 525000, China.
Xiumei XingDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yongmei XiaoDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Qifei DengDepartment of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-7554-0402

Funding

Guangdong Basic and Applied Basic Research Foundation 2020A1515010753Natural National Scientific Foundation of China 81973006, 81973076, and 81402658Science and Technology Planning Project of Guangzhou 202002030281
6 · The paper itself

Abstract

Benzene, toluene, and xylenes (BTX) commonly co-exist. Exposure to individual components and BTX-rich mixtures can induce hematological effects. However, the hematological effects of long-term exposure to BTX are still unclear, and respective reference levels based on empirical evidence should be developed. We conducted a follow-up study in BTX-exposed petrochemical workers. Long-term exposure levels were quantified by measuring cumulative exposure (CE). Generalized weighted quantile sum (WQS) regression models and Benchmark Dose (BMD) Software were used to evaluate their combined effects and calculate their BMDs, respectively. Many hematologic parameters were significantly decreased at the four-year follow-up (p < 0.05). We found positive associations of CE levels of benzene, toluene, and xylene with the decline in monocyte counts, lymphocyte counts, and hematocrit, respectively (β > 0.010, Ptrend < 0.05). These associations were stronger in subjects with higher baseline parameters, males, drinkers, or overweight subjects (Pinteraction < 0.05). BTX had positive combined effects on the decline in monocyte counts, red-blood-cell counts, and hemoglobin concentrations (Ptrend for WQS indices < 0.05). The estimated BMDs for CE levels of benzene, toluene, and xylene were 2.138, 1.449, and 2.937 mg/m3 × year, respectively. Our study demonstrated the hematological effects of long-term BTX co-exposure and developed 8h-RELs of about 0.01 ppm based on their hematological effects.

Indexed as

BMD estimationBTX componentsdecline in hematologic parametersoccupational co-exposure

Identifiers

PMID36136467
PMCPMC9501893

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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.