Evidence map›Paper›PMID 35834288›Full record

ArticleDrug testing and analysis2022

Investigation of buprenorphine-related deaths using urinary metabolite concentrations.

Claudia Mariottini, Pirkko Kriikku, Ilkka Ojanperä

Open access · hybridAbstract read
In one paragraph

Article in Drug testing and analysis, 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
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Claudia MariottiniDepartment of Forensic Medicine, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-6744-7689
Pirkko KriikkuDepartment of Forensic Medicine, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-5721-2827
Ilkka OjanperäDepartment of Forensic Medicine, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0001-5790-1473
University of Helsinki · FI

Funding

Finnish Foundation for Alcohol StudiesOrion Research Foundation
6 · The paper itself

Abstract

Quantitative analysis of postmortem urine, instead of blood, for buprenorphine and metabolites may provide additional evidence for the diagnosis of fatal buprenorphine poisoning. In this study, 247 autopsy urine samples, previously testing positive for buprenorphine or norbuprenorphine, were quantitatively reanalysed with a recently developed liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for unconjugated buprenorphine (BUP), norbuprenorphine (NBUP), naloxone (NAL), and their respective conjugated metabolites, buprenorphine glucuronide (BUPG), norbuprenorphine glucuronide (NBUPG), and naloxone glucuronide (NALG). The cases were divided, according to medical examiners' decision, to buprenorphine poisonings and other causes of death. The groups were compared for urinary concentrations and metabolite concentration ratios of the six analytes. All median concentrations were higher in the buprenorphine poisoning group. The median concentration of BUPG was significantly higher and the median metabolite ratios NBUP/BUP, NBUPG/BUPG, and NBUPtotal/BUPtotal were significantly lower in poisonings than in other causes of death. Naloxone-related concentrations and ratios were not significantly different between the groups.

Indexed as

BuprenorphineGlucuronidesChromatography, LiquidNaloxoneTandem Mass SpectrometryBuprenorphineGlucuronidesNaloxonebuprenorphine-related deathglucuronidenaloxonenorbuprenorphineurine

Identifiers

PMID35834288
PMCPMC9796430
OpenAlexW4285388835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.