Evidence map›Paper›PMID 35397589›Full record

ArticleBMC research notes2022

Unspecified opioids among opioid overdoses in Oslo, Norway.

Zahra Zeineb Iqbal, Thanh Mai Thi Nguyen, Mette Brekke, Odd Martin Vallersnes

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Zahra Zeineb Iqbal *Faculty of Medicine, University of Oslo, Oslo, Norway.
Thanh Mai Thi Nguyen *Faculty of Medicine, University of Oslo, Oslo, Norway.
Mette BrekkeGeneral Practice Research Unit, University of Oslo, Oslo, Norway.
Odd Martin VallersnesDepartment of General Practice, University of Oslo, Oslo, Norway. o.m.vallersnes@medisin.uio.no.ORCID http://orcid.org/0000-0003-1213-392X
University of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSince 2017, an increasing number of opioid overdoses in Oslo, Norway, has been categorized as involving unspecified opioids, as noted in the patient records by the doctor treating the patient. In this study we compare the characteristics of overdoses involving unspecified opioids, long-acting opioids, and heroin. Data on patients presenting with opioid overdose was retrospectively collected from 1 October 2013 to 31 December 2019 at the Oslo Accident and Emergency Outpatient Clinic.

resultsAmong 2381 included cases, 459 (19.3%) involved unspecified opioids, 134 (5.6%) long-acting opioids, and 1788 (75.1%) heroin. Overdoses involving unspecified opioids needed longer observation, median 5 h 29 min vs. 4 h 54 min (long-acting opioids) and 4 h 49 min (heroin) (p < 0.001), and had a lower Glasgow coma scale score, median 10 vs. 13 in both the other groups (p < 0.001). Naloxone was given in 23.3% of cases involving unspecified opioids, vs. 12.7% involving long-acting opioids and 30.2% involving heroin (p < 0.001). A larger proportion of patients were transferred to hospital care when unspecified or long-acting opioids were involved compared to heroin, 16.3% and 18.7% respectively vs. 10.1% (p < 0.001). Our results indicate that the category "unspecified opioids" encompasses a substantial proportion of opioids acting longer than heroin.

Indexed as

Drug OverdoseOpiate OverdoseAnalgesics, OpioidHeroinHumansRetrospective StudiesAnalgesics, OpioidHeroinBuprenorphineHeroinMethadoneNaloxoneOpiatesOpioidsOverdosePoisoning

Identifiers

PMID35397589
PMCPMC8994352
OpenAlexW4223556638

What OpenQuestion holds

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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.