Evidence map›Paper›PMID 40051025›Full record

ArticleBasic & clinical pharmacology & toxicology2025

Pharmaceutical-Related Poisonings in Greenland.

Kim Dalhoff, Johanne Mølby Hansen, Søren Bøgevig, Tonny S Petersen

Abstract readComparative Study
In one paragraph

Article in Basic & clinical pharmacology & toxicology, 2025. 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
–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

0 citing papers in PubMed.

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.

Kim DalhoffDepartment of Clinical Pharmacology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-5548-6381
Johanne Mølby HansenDepartment of Clinical Pharmacology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
Søren BøgevigDepartment of Clinical Pharmacology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.
Tonny S PetersenDepartment of Clinical Pharmacology, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-9974-2738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Danish Poison Information Centre (DPIC) received 1827 enquiries from Greenland in the period 2007-2022. The risk and the treatment of poisonings in Greenland are potentially different from those in Denmark. The use and availability of medicines, the ethnicity and the vicinity of health care are different in Greenland compared with Denmark. This study examined whether the toxicological profile was different between Denmark and Greenland using DPIC data. The most frequent drug poisoning in Greenland was paracetamol, followed by ibuprofen and quetiapine (6.6, 4.5 and 1.6 enquiries/1000 inhabitants, respectively). There were significantly more serious poisonings in Greenland compared with Denmark (36% vs. 12% moderate or life-threatening poisonings; p = 0.0004). Most of the calls from Greenland to the DPIC came primarily from health care professionals (HCPs). Also, the age groups of the poisoned patients were different in Greenland compared with Denmark. In Denmark, 38% of the enquiries were regarding children aged 0-4, compared with 17% in Greenland. In the age group 20-29 years, 14% came from Denmark and 23% from Greenland. In conclusion, we found an excessive number of calls to the DPIC from HCPs in Greenland with more serious poisonings, primarily with paracetamol, and fewer calls regarding children.

Indexed as

Poison Control CentersPoisoningAcetaminophenAdolescentAdultAgedAge FactorsChildChild, PreschoolDenmarkDrug OverdoseFemaleGreenlandHumansInfantInfant, NewbornAcetaminophenDanish Poison Information CentreGreenlandpoisonings

Identifiers

PMID40051025
PMCPMC11885684

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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 OpenQuestion graph.