Evidence map›Paper›PMID 34068332›Full record

ArticleMetabolites2021

Identification of Potential Distinguishing Markers for the Use of Cannabis-Based Medicines or Street Cannabis in Serum Samples.

Anne Scheunemann, Katrin Elsner, Tanja Germerott, Sergiu Groppa, Cornelius Hess, Isabelle Miederer, Alicia Poplawski, Jörg Röhrich

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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, 9 citations in OpenAlex.

  1. Article
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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

8 authors at 2 institutions in 1 country.

Anne ScheunemannInstitute of Legal Medicine, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Katrin ElsnerInstitute of Legal Medicine, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Tanja GermerottInstitute of Legal Medicine, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Sergiu GroppaDepartment of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Cornelius HessInstitute of Legal Medicine, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Isabelle MiedererDepartment of Nuclear Medicine, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Alicia PoplawskiInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Jörg RöhrichInstitute of Legal Medicine, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.
Johannes Gutenberg University Mainz · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

Level 1 Institutional Research Funding of the University Medical Center Mainz 9734456
6 · The paper itself

Abstract

Increasing prescription numbers of cannabis-based medicines raise the question of whether uptake of these medicines can be distinguished from recreational cannabis use. In this pilot study, serum cannabinoid profiles after use of cannabis-based medicines were investigated, in order to identify potential distinguishing markers. Serum samples after use of Sativex

Indexed as

cannabinoidsDronabinolLC-MS/MSmedical cannabisprincipal component analysisSativexserum concentrations

Identifiers

PMID34068332
PMCPMC8153355
OpenAlexW3161107174

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.