Evidence map›Paper›PMID 29986385›Full record

ArticleInternational journal of environmental research and public health2018

Occurrence and Toxicological Risk Assessment of Polycyclic Aromatic Hydrocarbons and Heavy Metals in Drinking Water Resources of Southern China.

Muting Yan, Huayue Nie, Wenjing Wang, Yumei Huang, Jun Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling.International journal of environmental research and public health · 2019
    Article
  8. Metals in Occluded Water: A New Perspective for Pollution in Drinking Water Distribution Systems.International journal of environmental research and public health · 2019
    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.

Muting YanCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China. marineymt@scau.edu.cn.
Huayue NieCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China. hynhy@stu.scau.edu.cn.
Wenjing WangCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China. wenjing1379@163.com.
Yumei HuangCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China. huangyumei@scau.edu.cn.
Jun WangCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China. wangjun2016@scau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAHs) and heavy metals exposure is related to a variety of diseases and cancer development, posing a great health risk to humans. In this study, water samples were collected from nine important water sources in Guangdong, Guangxi and Hainan provinces to determine the degree of PAHs and heavy metals contamination. Overall, the total contents of 16 PAHs and heavy metals were found within the permissible levels. In human health risk assessment, the benzo(

Indexed as

Water QualityChinaDrinking WaterHumansMetals, HeavyPolycyclic Aromatic HydrocarbonsRisk AssessmentWater Pollutants, ChemicalDrinking WaterMetals, HeavyPolycyclic Aromatic HydrocarbonsWater Pollutants, Chemicaldrinking waterhealth riskheavy metalsPAHswater pollution

Identifiers

PMID29986385
PMCPMC6068901

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.