Evidence map›Paper›PMID 36322595›Full record

ArticlePloS one2022

Long-term exposure to low concentrations of polycyclic aromatic hydrocarbons and alterations in platelet indices: A longitudinal study in China.

Jing Cui, Ting Zhang, Chao Zhang, Zhenwei Xue, Durong Chen, Xiaona Kong, Caili Zhao, Yufeng Guo, Zimeng Li, Xiaoming Liu and 4 more

Abstract read
In one paragraph

Article in PloS one, 2022. 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
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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.

Jing CuiDepartment of Health Statistics, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, School of Public Health, Shanxi Medical University, Taiyuan, People's Republic of China.
Ting ZhangDepartment of Radiological and Environmental Medicine, State Environmental Protection Key Laboratory of Environment and Health (Taiyuan), China Institute for Radiation Protection (CIRP), Taiyuan, Shanxi, China.
Chao ZhangDepartment of Radiological and Environmental Medicine, State Environmental Protection Key Laboratory of Environment and Health (Taiyuan), China Institute for Radiation Protection (CIRP), Taiyuan, Shanxi, China.
Zhenwei XueDepartment of Radiological and Environmental Medicine, State Environmental Protection Key Laboratory of Environment and Health (Taiyuan), China Institute for Radiation Protection (CIRP), Taiyuan, Shanxi, China.
Durong ChenDepartment of Health Statistics, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, School of Public Health, Shanxi Medical University, Taiyuan, People's Republic of China.
Xiaona KongDepartment of Radiological and Environmental Medicine, State Environmental Protection Key Laboratory of Environment and Health (Taiyuan), China Institute for Radiation Protection (CIRP), Taiyuan, Shanxi, China.
Caili ZhaoDepartment of Health Statistics, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, School of Public Health, Shanxi Medical University, Taiyuan, People's Republic of China.
Yufeng GuoDepartment of Radiological and Environmental Medicine, State Environmental Protection Key Laboratory of Environment and Health (Taiyuan), China Institute for Radiation Protection (CIRP), Taiyuan, Shanxi, China.
Zimeng LiDepartment of Health Statistics, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, School of Public Health, Shanxi Medical University, Taiyuan, People's Republic of China.
Xiaoming LiuDepartment of Radiological and Environmental Medicine, State Environmental Protection Key Laboratory of Environment and Health (Taiyuan), China Institute for Radiation Protection (CIRP), Taiyuan, Shanxi, China.
Jiefang DuanDepartment of Health Statistics, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, School of Public Health, Shanxi Medical University, Taiyuan, People's Republic of China.
Wenjie PengDepartment of Health Statistics, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, School of Public Health, Shanxi Medical University, Taiyuan, People's Republic of China.
Xiaolin ZhouDepartment of Radiological and Environmental Medicine, State Environmental Protection Key Laboratory of Environment and Health (Taiyuan), China Institute for Radiation Protection (CIRP), Taiyuan, Shanxi, China.
Hongmei YuDepartment of Health Statistics, Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment, School of Public Health, Shanxi Medical University, Taiyuan, People's Republic of China.ORCID 0000-0002-9852-2485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term exposure to low polycyclic aromatic hydrocarbon (PAH) concentration may ave detrimental effects, including changing platelet indices. Effects of chronic exposure to low PAH concentrations have been evaluated in cross-sectional, but not in longitudinal studies, to date. We aimed to assess the effects of long-term exposure to the low-concentration PAHs on alterations in platelet indices in the Chinese population. During 2014-2017, we enrolled 222 participants who had lived in a village in northern China, 1-2 km downwind from a coal plant, for more than 25 years, but who were not employed by the plant or related businesses. During three follow-ups, annually in June, demographic information and urine and blood samples were collected. Eight PAHs were tested: namely 2-hydroxynaphthalene, 1-hydroxynaphthalene, 2-hydroxyfluorene, 9-hydroxyfluorene (9-OHFlu), 2-hydroxyphenanthrene (2-OHPh), 1-hydroxyphenanthrene (1-OHPh), 1-hydroxypyrene (1-OHP), and 3-hydroxybenzo [a] pyrene. Five platelet indices were measured: platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), platelet crit, and the platelet-large cell ratio. Generalized mixed and generalized linear mixed models were used to estimate correlations between eight urinary PAH metabolites and platelet indices. Model 1 assessed whether these correlations varied over time. Models 2 and 3 adjusted for additional personal information and personal habits. We found the following significant correlations: 2-OHPh (Model1 β1 = 18.06, Model2 β2 = 18.54, Model β3 = 18.54), 1-OHPh (β1 = 16.43, β2 = 17.42, β3 = 17.42), 1-OHP(β1 = 13.93, β2 = 14.03, β3 = 14.03) with PLT, as well as 9-OHFlu with PDW and MPV (odds ratio or Model3 ORPDW[95%CI] = 1.64[1.3-2.06], ORMPV[95%CI] = 1.33[1.19-1.48]). Long-term exposure to low concentrations of PAHs, indicated by2-OHPh, 1-OHPh, 1-OHP, and 9-OHFlu, as urinary biomarkers, affects PLT, PDW, and MPV. 9-OHFlu increased both PDW and MPV after elimination of the effects of other PAH exposure modes.

Indexed as

Polycyclic Aromatic HydrocarbonsBiomarkersCross-Sectional StudiesHumansLongitudinal StudiesMean Platelet VolumeBiomarkersPolycyclic Aromatic Hydrocarbons

Identifiers

PMID36322595
PMCPMC9629616

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