Evidence map›Paper›PMID 39975787›Full record

ArticleFrontiers in public health2025

Analysis of acute non-pharmaceutical toxic exposures in children: a 5-year retrospective study.

Yanning Qu, Rui Tang, Zhuyan Duan, Mengyi Sheng, Hui Wang, Shuang Liu, Jiao Li, Linlin Guo, Linying Guo, Si Zheng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Yanning Qu *Department of Critical Care Medicine, Children's Hospital Affiliated to Capital Institute Pediatrics, Beijing, China.
Rui Tang *Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhuyan DuanDepartment of Critical Care Medicine, Children's Hospital Affiliated to Capital Institute Pediatrics, Beijing, China.
Mengyi ShengDepartment of Critical Care Medicine, Children's Hospital Affiliated to Capital Institute Pediatrics, Beijing, China.
Hui WangDepartment of Critical Care Medicine, Children's Hospital Affiliated to Capital Institute Pediatrics, Beijing, China.
Shuang LiuDepartment of Critical Care Medicine, Children's Hospital Affiliated to Capital Institute Pediatrics, Beijing, China.
Jiao LiInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Linlin GuoInformation Department, Children's Hospital Affiliated to Capital Institute Pediatrics, Beijing, China.
Linying GuoDepartment of Critical Care Medicine, Children's Hospital Affiliated to Capital Institute Pediatrics, Beijing, China.
Si ZhengInstitute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to systematically analyze the epidemiological characteristics, clinical interventions and outcomes of children with acute non-pharmaceutical toxic exposures. Methods: This retrospective study included all children with acute non-pharmaceutical toxic exposure admitted to the emergency department of the Capital Institute of Pediatrics between January 1, 2019, and December 31, 2023. Eligible patients were triaged into red, yellow, and green groups according to their severity condition. Clinical information including demographics, exposure details, clinical manifestation, laboratory results, treatments, and outcomes were extracted from electronic medical records. Univariate and multivariate logistic regression analyses were conducted to identify risk factors associated with hospitalization. Results: Overall, a total of 718 patients with acute non-pharmaceutical toxic exposures was included in this study, infants and toddlers accounting for 57.9%. The male-to-female ratio was 1.16:1. The majority exposure events occurred at home (89.3%) and in urban settings (78.4%). Accidental poisoning was the predominant cause, accounting for 94.7%, and the primary route of exposure was oral (93.6%). Mercury was the most common exposed substance, representing 18.8% of cases, particularly among preschool-aged children (31.7%). Patients triaged to red zone had a higher proportion of clinical manifestation and required more aggressive treatments. Although most patients discharged without treatment (78.4%), 19.1% need emergency observation, and 2.5% required hospitalization. Logistic regression analysis showed that corrosive household products exposure (OR = 42.747, 95% CI[5.041-362.520]), skin and mucosal damage (OR = 37.052, 95% CI[5.339-257.153]), pesticides exposure (OR = 33.322, 95% CI[3.863-287.423]), heavy metals exposure (OR = 31.636, 95% CI[1.471-680.210]), neurological manifestation (OR = 22.656, 95% CI[4.766-107.711]), positive toxicology results (OR = 15.105, 95% CI[6.584-34.656]), industrial products exposure (OR = 10.294, 95% CI[1.144-92.641]), and intentional poisoning (OR = 3.060, 95% CI[1.733-5.405]) associated with hospitalization. Conclusion: Pediatric patients exposed to some specific toxicants like industrial products and corrosive household products might associated with a higher risk of severe clinical outcomes. Advocating for enhanced safety regulations or educations and public health initiatives to mitigate the incidence of such exposures is still important for protecting children's health.

Indexed as

Environmental ExposurePoisoningAdolescentChildChild, PreschoolChinaEmergency Service, HospitalFemaleHospitalizationHumansInfantMaleRetrospective StudiesRisk Factorsacute non-pharmaceutical toxic exposurecharacteristicschildrenoutcomespoisoning

Identifiers

PMID39975787
PMCPMC11836825

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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.