Evidence map›Paper›PMID 40599658›Full record

ArticlePaediatrics & child health2025

Opioid deaths in children in Ontario: A province-wide study.

Katrina Assen, Elizabeth Urbantke, Michael Wilson, Michael Rieder

Abstract read
In one paragraph

Article in Paediatrics & child health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Katrina AssenDepartment of Paediatrics, Schulich School of Medicine & Dentistry, University of Western Ontario.
Elizabeth UrbantkeOffice of the Chief Coroner of Ontario.
Michael WilsonThunder Bay Regional Health Sciences Centre, Thunder Bay, Ontario, Canada.
Michael RiederDepartment of Paediatrics, Schulich School of Medicine & Dentistry, University of Western Ontario.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Opioid-related deaths are an ongoing concern. There have been increasing numbers of fentanyl-related adult deaths with limited knowledge of the characteristics and circumstances of opioid toxicity deaths in children. Our aim was to address this using province-wide data capturing all deaths in children under the age of 10 years in Ontario. Methods: Data were extracted from the opioid investigative aid database at the Office of the Chief Coroner from the implementation of the system from October 1, 2017, to October 31, 2021. This collects all opioid-related deaths in Ontario (population 14.7 million). A chart review was undertaken on all deaths under 10 years of age. Patient characteristics were calculated as percentages; descriptive analysis was conducted. Results: Ten deaths in children under the age of 10 occurred during the study period. The average age was 1.9 years with the oldest being 4 years and 9 months. The causative opioid was fentanyl alone in four cases (40%), fentanyl and other drugs in four cases (40%), and hydromorphone and methadone in one case each (10%). Most cases involved improperly stored medication or illicit substances. All children who died had previous child protection service involvement, and at least 70% of their families had previous police involvement. Conclusions: Fentanyl was the primary substance involved in 80% of deaths. Several potential areas of system change include education on fentanyl risk to young children, careful storage of illicit substances, and implications for how the child protection system intervenes in homes where the use of opioids and illicit substance use is reported to occur.

Indexed as

Child protectionChildrenFentanylOpiatesToxicity

Identifiers

PMID40599658
PMCPMC12208372

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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.