Evidence map›Paper›PMID 30756357›Full record

ArticleEnvironmental science and pollution research international2019

Inhalation cancer risk estimation of source-specific personal exposure for particulate matter-bound polycyclic aromatic hydrocarbons based on positive matrix factorization.

Bin Han, Yan You, Yating Liu, Jia Xu, Jian Zhou, Jiefeng Zhang, Can Niu, Nan Zhang, Fei He, Xiao Ding and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. 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. Article
  2. Characteristics, Source Contributions, and Source-Specific Health Risks of PMInternational journal of environmental research and public health · 2022
    Article
  3. Assessing Approaches of Human Inhalation Exposure to Polycyclic Aromatic Hydrocarbons: A Review.International journal of environmental research and public health · 2021
    Review
  4. PMInternational journal of environmental research and public health · 2020
    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

11 authors.

Bin HanState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China. hanbin@craes.org.cn.ORCID http://orcid.org/0000-0002-0499-1767
Yan YouResearch Center for Eco-Environmental Science, Chinese Academy of Science, Beijing, China.
Yating LiuCollege of Environmental Science and Engineering, Nankai University, Tianjin, China.
Jia XuState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.
Jian ZhouEnergy Research Institute, Nanyang Technological University, Singapore, Singapore.
Jiefeng ZhangDivision of Environmental and Water Resources, School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.
Can NiuSchool of Public Health, Hebei University, Baoding, Hebei, China.
Nan ZhangState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.
Fei HeHubei Provincial Meteorological Service Center, Wuhan, China.
Xiao DingDepartment of Building, School of Design and Environment, National University of Singapore, Singapore, Singapore.
Zhipeng BaiState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.

Funding

National Basic Research Program of China 2011CB503801
6 · The paper itself

Abstract

In previous studies, inhalation cancer risk was estimated using conventional risk assessment method, which was normally based on compound-specific analysis, and cannot provide substantial data for source-specific particulate matter concentrations and pollution control. In the present study, we applied an integrated risk analysis method, which was a synthetic combination of source apportionment receptor model and risk assessment method, to estimate cancer risks associated to individual PAHs coming from specific sources. Personal exposure particulate matter samples referring to an elderly panel were collected in a community of Tianjin, Northern China, in 2009, and 12 PAH compounds were measured using GC-MS. Positive matrix factorization (PMF) was used to extract the potential sources and quantify the source contributions to the PAH mixture. Then, the lung cancer risk of each modeled source was estimated by summing up the cancer risks of all measured PAH species according to the extracted source profile. The final results indicated that the overall cancer risk was 1.12 × 10

Indexed as

Air PollutantsAir PollutionChinaEnvironmental MonitoringEnvironmental PollutionGas Chromatography-Mass SpectrometryHumansInhalation ExposureNeoplasmsParticulate MatterPolycyclic Aromatic HydrocarbonsRisk AssessmentVehicle EmissionsAir PollutantsParticulate MatterPolycyclic Aromatic HydrocarbonsVehicle EmissionsLung cancer risk assessmentPolycyclic aromatic hydrocarbonsPositive matrix factorizationSource apportionment

Identifiers

PMID30756357

What OpenQuestion holds

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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.