Evidence map›Paper›PMID 27671983›Full record

ArticleEnvironmental and molecular mutagenesis2016

Effects of occupational exposure to carbon black on peripheral white blood cell counts and lymphocyte subsets.

Yufei Dai, Yong Niu, Huawei Duan, Bryan A Bassig, Meng Ye, Xiao Zhang, Tao Meng, Ping Bin, Xiaowei Jia, Meili Shen and 9 more

Open access · greenAbstract read
In one paragraph

Article in Environmental and molecular mutagenesis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

19 authors at 6 institutions in 3 countries.

Yufei DaiKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Yong NiuKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Huawei DuanKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Bryan A BassigOccupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland.
Meng YeKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Xiao ZhangKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Tao MengKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Ping BinKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Xiaowei JiaKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Meili ShenKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Rong ZhangKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
Wei HuOccupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland.
Xiaofa YangJiao Zuo Center for Disease Control and Prevention, Jiaozuo, China.
Roel VermeulenDivision of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Debra SilvermanOccupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland.
Nathaniel RothmanOccupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland.
Qing LanOccupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland. zhengyx@chinacdc.cn.
Shanfa YuHenan Provincial Institute for Occupational Health, Zhengzhou, China. yu-shanfa@163.com.
Yuxin ZhengKey Laboratory, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China. qingl@mail.nih.gov.
National Institute for Occupational Health and Poison Control · CNNational Cancer Institute · USHebei Medical University · CNHenan Provincial Institute of Occupational Health · CNJiaozuo University · CNUtrecht University · NL

Funding

Studies of Occupational CancerZIACP010120 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI LAN, QING · 2009 to 2025
$34.4M
Occupational and Environmental Determinants of Cancer among Women and MinoritiesZIACP010123 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HOFMANN, JONATHAN · 2009 to 2025
$8.3M
STUDIES OF OCCUPATIONAL CANCER--WOMEN AND MINORITIESZ01CP010123 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI CHOW, WONG · 1996 to 2008
$1.8M
Intramural NIH HHS Z01 CP010123
6 · The paper itself

Abstract

The International Agency for Research on Cancer has classified carbon black (CB) as a possible (Group 2B) human carcinogen. Given that most CB manufacturing processes result in the emission of various types of chemicals, it is uncertain if the adverse health effects that have been observed in CB-exposed workers are related to CB specifically or are due to other exposures. To address this issue, we conducted a cross-sectional molecular epidemiology study in China of 106 male factory workers who were occupationally exposed to pure CB and 112 unexposed male workers frequency-matched by age and smoking status from the same geographic region. Repeated personal exposure measurements were taken in workers before biological sample collection. Peripheral blood from all workers was used for the complete blood cell count and lymphocyte subsets analysis. Compared to unexposed workers, eosinophil counts in workers exposed to CB were increased by 30.8% (P = 0.07) after adjusting for potential confounders. When stratified by smoking status, statistically significant differences in eosinophils between CB exposed and unexposed workers were only present among never smokers (P = 0.040). Smoking is associated with alterations in various cell counts; however, no significant interaction between CB exposure and smoking status for any cell counts was observed. Given that inflammation, characterized in part by elevated eosinophils in peripheral blood, may be associated with increased cancer risk, our findings provide new biologic insights into the potential relationship between CB exposure and lung carcinogenesis. Environ. Mol. Mutagen. 57:589-604, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

AdultAir Pollutants, OccupationalBlood Cell CountCross-Sectional StudiesCytokinesHumansLeukocytesLymphocyte SubsetsMaleMiddle AgedMolecular EpidemiologyOccupational ExposureParticulate MatterSootAir Pollutants, OccupationalCytokinesParticulate MatterSootcarbon blackimmunotoxicityinflammationoccupational exposure

Identifiers

PMID27671983
PMCPMC6759205
OpenAlexW2524395181

What OpenQuestion holds

Textmetadata
LicenceTDM
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.