Evidence map›Paper›PMID 28942593›Full record

ReviewEnvironmental science and pollution research international2017

Psychoactive drugs: occurrence in aquatic environment, analytical methods, and ecotoxicity-a review.

Deivisson Lopes Cunha, Frederico Goytacazes de Araujo, Marcia Marques

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 90 citations in OpenAlex.

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  17. Environmental risk assessment of psychoactive drugs in the aquatic environment.Environmental science and pollution research international · 2019
    Review
  18. 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

3 authors at 1 institution in 1 country.

Deivisson Lopes CunhaDepartment of Sanitary and Environmental Engineering, Rio de Janeiro State University (UERJ), R. São Francisco Xavier, 524, CEP, Rio de Janeiro, RJ, 20550-900, Brazil.
Frederico Goytacazes de AraujoDepartment of Sanitary and Environmental Engineering, Rio de Janeiro State University (UERJ), R. São Francisco Xavier, 524, CEP, Rio de Janeiro, RJ, 20550-900, Brazil.
Marcia MarquesDepartment of Sanitary and Environmental Engineering, Rio de Janeiro State University (UERJ), R. São Francisco Xavier, 524, CEP, Rio de Janeiro, RJ, 20550-900, Brazil. marciam@uerj.br.ORCID http://orcid.org/0000-0002-7920-8001
Universidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review focused on seven psychoactive drugs being six benzodiazepines (alprazolam, bromazepam, clonazepam, diazepam, lorazepam, and oxazepam) and one antidepressant (citalopram) widely consumed by modern society and detected in different aqueous matrices (drinking water, surface water, groundwater, seawater, estuary water, influent and effluent of wastewater treatment plants). The review included 219 selected scientific papers from which 1642 data/entries were obtained, each entry corresponding to one target compound in one aqueous matrix. Concentrations of all investigated drugs in all aqueous matrices varied from 0.14 to 840,000 ng L

Indexed as

Chromatography, High Pressure LiquidEnvironmental MonitoringMass SpectrometryPsychotropic DrugsSolid Phase ExtractionWastewaterWater Pollutants, ChemicalPsychotropic DrugsWastewaterWater Pollutants, ChemicalAnalytical methodsAntidepressant drugsAqueous matricesBenzodiazepinesEcotoxicityPsychoactive drugs

Identifiers

PMID28942593
OpenAlexW2757396603

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.