Evidence map›Paper›PMID 36033732›Full record

ArticleFrontiers in public health2022

Antidepressants as emerging contaminants: Occurrence in wastewater treatment plants and surface waters in Hangzhou, China.

Yuan Chen, Junlin Wang, Peiwei Xu, Jie Xiang, Dandan Xu, Ping Cheng, Xiaofeng Wang, Lizhi Wu, Nianhua Zhang, Zhijian Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

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

  1. Pooled it
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  5. Environmental Impact and Sustainability Associated with the Practice of Dermatology.The Journal of clinical and aesthetic dermatology · 2025
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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

10 authors at 1 institution in 1 country.

Yuan ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Junlin WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Peiwei XuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Jie XiangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Dandan XuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Ping ChengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xiaofeng WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Lizhi WuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Nianhua ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Zhijian ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Zhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Antidepressants have aroused wide public concern due to their widespread presence in water and their harm to human health and environment. This study was designed to evaluate the contribution of wastewater treatment plants (WWTPs) to the presence of antidepressants in the surface water. Methods: Data was evaluated by analyzing water samples collected from the influent, effluent, upstream and downstream of the WWTPs on the rivers of interest in Hangzhou, Zhejiang Province, China. Besides, the study also assessed the impact of the release of antidepressants from WWTPs to the surface water on the drinking water. An automatic solid-phase extraction combined with ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry (UPLC-MS/MS) was used to detect antidepressants. Results: The most abundant compound was venlafaxine, followed by citalopram, sertraline, and fluvoxamine with concentrations between 0.6 and 87 ng/L. Antidepressants showed maximum concentrations at the effluent outlets of the WWTPs, and greater concentrations were found downstream than upstream of the WWTPs in Qiantang River. The results of source water and finished water showed that the detection concentration was lower than the detection limit of the method. Conclusions: The less impact of the release of antidepressants from WWTPs to the surface water on the drinking water was identified. Nevertheless, these compounds were hardly removed by wastewater treatment processes. Thus, their risks deserve close attention.

Indexed as

Drinking WaterWater Pollutants, ChemicalWater PurificationAntidepressive AgentsChinaChromatography, LiquidEnvironmental MonitoringHumansTandem Mass SpectrometryAntidepressive AgentsDrinking WaterWater Pollutants, Chemicalantidepressantsdrinking wateroccurrencesurface waterwastewater treatment plants

Identifiers

PMID36033732
PMCPMC9403794
OpenAlexW4291017444

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.