Evidence map›Paper›PMID 38572466›Full record

ArticleToxicology reports2024

General pattern of paediatric poisoning in Jordan during 2018-2019.

Enas M ALzayadneh, Kamal A ALHadidi, Ihab Alasasfeh, Abdelkader Battah, Suhad M Khasawneh, Madeha N Faouri, Robina W Diab, Yaqin M Alzagareet, Noourlhuda H Abbas, Renad H Al-Debei and 3 more

Abstract read
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Article in Toxicology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Enas M ALzayadnehDepartment of Paediatric, School of Medicine, the University of Jordan, Jordan.
Kamal A ALHadidiDepartment of Pathology Microbiology and Forensic Medicine, School of Medicine, the University of Jordan, Jordan.
Ihab AlasasfehDepartment of Emergency-Jordan University Hospital, General Surgery Department, School of Medicine, the University of Jordan, Jordan.
Abdelkader BattahDepartment of Pathology Microbiology and Forensic Medicine, School of Medicine, the University of Jordan, Jordan.
Suhad M KhasawnehJordan Poison Information Center- Jordan University Hospital, Jordan.
Madeha N FaouriDepartment of Pharmacy, School of Nursing, Al-Balqa' Applied University, Jordan.
Robina W DiabSchool of Medicine, the University of Jordan, Jordan.
Yaqin M AlzagareetSchool of Medicine, the University of Jordan, Jordan.
Noourlhuda H AbbasSchool of Medicine, the University of Jordan, Jordan.
Renad H Al-DebeiSchool of Medicine, the University of Jordan, Jordan.
Ayah M ZaqqaSchool of Medicine, the University of Jordan, Jordan.
Farah K HadidiSchool of Medicine, the University of Jordan, Jordan.
Layan M KhraisatSchool of Medicine, the University of Jordan, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute accidental poisoning in children remains a significant public health issue and a predictable cause of morbidity around the world. To take preventive measures, it is necessary to identify the pattern of this problem. Objective: To determine the extent and characteristics of paediatric poisoning, an epidemiological investigation specific to each country is required. The goal of our research was to determine the current pattern of acute poisoning in children between (0-5) years old in Jordan. Methods: This retrospective study performs a descriptive analysis of the Jordan University Hospital's National Poison Information Center (NPIC) database and describes the epidemiology of acute poisoning in children between (0-5) years old during a period of two years (2018-2019). Results: Paediatric poisoning (0-5) years old accounts for approximately 88% of poisoning cases in Jordan between 2018 and 2019.Out of 3531 paediatric poisoning cases, 44.9% of cases were in children between (2-3) years old, 63.4% of subjects were male. 40.9% of calls were from governmental hospitals. Most cases occurred at home (98.7%) and were unintentional (98.6%). Medication poisoning was the commonest among cases (71.0%). Besides, 89.4% were asymptomatic at the time of call, and Central Nervous System (CNS) symptoms being the most common (3.6%) among the symptomatic cases. Conclusions: Most cases of paediatric poisoning handled by the NPIC was due to medications. To prevent or minimize these cases, it is necessary to educate parents and other caregivers about proper medication storage and use, and in case of poisoning, urgent referral to health facilities is required.

Indexed as

EpidemiologyPaediatricPoison centerPoisoning

Identifiers

PMID38572466
PMCPMC10987798

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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.