Evidence map›Paper›PMID 30796663›Full record

ArticleEnvironmental science and pollution research international2019

Phthalate pollution driven by the industrial plastics market: a case study of the plastic market in Yuyao City, China.

Yihua Wu, Jianqiang Sun, Chaofan Zheng, Xiaobing Zhang, Anping Zhang, Hong Qi

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

6 authors.

Yihua WuInternational Joint Research Center for Persistent Toxic Substances, College of Environment, Zhejiang University of Technology, Hangzhou, 310014, China.
Jianqiang SunInternational Joint Research Center for Persistent Toxic Substances, College of Environment, Zhejiang University of Technology, Hangzhou, 310014, China.
Chaofan ZhengInternational Joint Research Center for Persistent Toxic Substances, College of Environment, Zhejiang University of Technology, Hangzhou, 310014, China.
Xiaobing ZhangInternational Joint Research Center for Persistent Toxic Substances, College of Environment, Zhejiang University of Technology, Hangzhou, 310014, China.
Anping ZhangInternational Joint Research Center for Persistent Toxic Substances, College of Environment, Zhejiang University of Technology, Hangzhou, 310014, China. azhang@zjut.edu.cn.
Hong QiDepartment of Environmental Engineering, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin, 150001, China.

Funding

National Natural Science Foundation of China 21577127Natural Science Foundation of Zhejiang Province (CN) LY17B070006State Key Laboratory of Water Environment Simulation No. QAK201715
6 · The paper itself

Abstract

In attempts to evaluate the environmental risk produced by plastic markets, the levels and congener profiles of phthalate esters (PAEs) in soil, vegetable, and sediment samples collected from the plastic market in China, where numerous plastic products are exchanged every year, were investigated. The concentrations of ∑

Indexed as

ChinaDibutyl PhthalateEnvironmental PollutionEstersGeologic SedimentsIndustrial WastePhthalic AcidsPlasticsSoil PollutantsVegetablesDibutyl Phthalatediisobutyl phthalateEstersIndustrial Wastephthalic acidPhthalic AcidsPlasticsSoil PollutantsEnvironmental allowable levelEnvironmental riskEnvironmental risk levelsPhthalate estersPlastic market

Identifiers

PMID30796663

What OpenQuestion holds

Textmetadata
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.