Evidence map›Paper›PMID 34794984›Full record

ArticleBMJ open2021

Dose-response relationship between urinary PAH metabolites and blood viscosity among coke oven workers: a cross-sectional study.

Min Wu, Chengjuan Liu, Huimin Wang, Jisheng Nie, Jin Yang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. 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
0.2field-weighted citation impact, top 46% of its field
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, 2 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Min WuSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Chengjuan LiuSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Huimin WangSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Jisheng NieSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China niejisheng@sxmu.edu.cn.ORCID 0000-0002-8194-3101
Jin YangSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPolycyclic aromatic hydrocarbons (PAHs) have been proven to be a risk factor for cardiovascular disease in coke oven workers, and increased plasma viscosity is a signal for higher risk of catching up cardiovascular disease. We want to explore whether the plasma viscosity is affected by the concentration of PAHs.

designOur study is a cross-sectional dose-response study.

settingParticipants in this study came from a coke plant in Taiyuan, Shanxi.

participantsWe used data of 693 coke oven workers in Taiyuan. PRIMARY AND SECONDARY OUTCOME MEASURES: We assumed that plasma viscosity would increase as the concentration of PAHs metabolites in urine increases. We found that 2-hydroxyfluorene (OHFLU2) and plasma viscosity have a stable linear relationship in different statistical methods.

resultsWe found that plasma viscosity increased by 1.14 (mPa.s,30/s) for each ng/mL of 2-OHFLU urinary (correlation coefficient range: 0.54-1.74, p<0.05).

conclusionsThe results of this study could provide evidence for coke oven workers to prevent cardiovascular disease by checking whether plasma viscosity is elevated.

Indexed as

CokeOccupational ExposurePolycyclic Aromatic HydrocarbonsBlood ViscosityCross-Sectional StudiesHumansCokePolycyclic Aromatic Hydrocarbonsepidemiologyoccupational & industrial medicinepublic health

Identifiers

PMID34794984
PMCPMC8603277
OpenAlexW3211655378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.