Evidence map›Paper›PMID 35407366›Full record

ArticleJournal of clinical medicine2022

Comparison of LC-MS and LC-DAD Methods of Detecting Abused Piperazine Designer Drugs.

Anna Welz, Marcin Koba, Piotr Kośliński, Joanna Siódmiak

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Anna WelzDepartment of Toxicology and Bromatology, Faculty of Pharmacy, Collegium Medicum Nicolaus Copernicus University, 85-089 Bydgoszcz, Poland.ORCID 0000-0003-4653-3497
Marcin KobaDepartment of Toxicology and Bromatology, Faculty of Pharmacy, Collegium Medicum Nicolaus Copernicus University, 85-089 Bydgoszcz, Poland.ORCID 0000-0003-0623-1443
Piotr KoślińskiDepartment of Toxicology and Bromatology, Faculty of Pharmacy, Collegium Medicum Nicolaus Copernicus University, 85-089 Bydgoszcz, Poland.ORCID 0000-0003-0684-117X
Joanna SiódmiakDepartment of Laboratory Diagnostics, Faculty of Pharmacy, Collegium Medicum Nicolaus Copernicus University, 85-094 Bydgoszcz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recreational use of piperazine designer drugs is a serious threat to human health. These compounds act on the body in a similar fashion to illegal drugs. They induce psychostimulatory effects as well as visual and auditory hallucinations to varying degrees. In many cases of poisoning and deaths, the presence of two or even several psychoactive substances have been demonstrated. Piperazine derivatives are often found in such mixtures and pose a great analytical problem during their identification. Additionally, some piperazine derivatives can be detected in biological material as a result of metabolic changes to related drugs. Therefore, it is necessary to correctly identify these compounds and ensure repeatability of determinations. This article presents a comparison of the methods used to detect abused piperazine designer drugs using liquid chromatography in combination with a diode-array detector (LC-DAD) or mass spectrometer (LC-MS). Each of methods can be used independently for determinations, obtaining reliable results in a short time of analysis. These methods can also complement each other, providing qualitative and quantitative confirmation of results. The proposed methods provide analytical confirmation of poisoning and may be helpful in toxicological diagnostics.

Indexed as

benzylpiperazine derivativesdrugs of abuseLC-DADLC-MSmisusephenylpiperazine derivativespiperazine designer drugspoisoningpsychoactive

Identifiers

PMID35407366
PMCPMC8999770

What Socratic 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 Socratic graph.