Evidence map›Paper›PMID 38807987›Full record

ArticleFrontiers in public health2024

Leukemia risk assessment of exposure to low-levels of benzene based on the linearized multistage model.

Kexin Jin, Fukang Zhu, Bo Wu, Minyan Li, Xue Wang, Xiurong Cheng, Ming Li, Deyin Huang, Caihong Xing

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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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

9 authors.

Kexin JinState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Fukang ZhuState Key Laboratory of Trauma and Chemical Poisoning, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Bo WuChinese Academy of Inspection and Quarantine, Beijing, China.
Minyan LiInstitute of Occupational Health, Tianjin Bohai Chemical Industry Group Co. Ltd., Tianjin, China.
Xue WangState 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.
Ming LiOccupational Health Monitoring and Evaluation, Department of Jinan Railway Disease Control and Prevention Center, Jinan, China.
Deyin HuangInstitute of Occupational Health, Tianjin Bohai Chemical Industry Group Co. Ltd., Tianjin, 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

Objectives: To assess leukemia risk in occupational populations exposed to low levels of benzene. Methods: Leukemia incidence data from the Chinese Benzene Cohort Study were fitted using the Linearized multistage (LMS) model. Individual benzene exposure levels, urinary S-phenylmercapturic acid (S-PMA) and trans, trans-muconic acid ( Results: The leukemia risks showed a positive correlation with increasing cumulative concentration in the four exposure groups (excess leukemia risks were 4.34, 4.37, 4.44 and 5.52 × 10 Conclusion: This study demonstrates the utility of the LMS model derived from the Chinese benzene cohort in assessing leukemia risk associated with low-level benzene exposure, and suggests that leukemia risk may occur at cumulative concentrations below 3 mg/m

Indexed as

BenzeneLeukemiaOccupational ExposureSorbic AcidAcetylcysteineAdultChinaCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRisk AssessmentAcetylcysteineBenzenemuconic acidSorbic AcidS-phenyl-N-acetylcysteinebenzenemulti-stage modelingrisk assessmentS-PMAtt-MA

Identifiers

PMID38807987
PMCPMC11130436

What OpenQuestion holds

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LicenceCC BY
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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.