Evidence map›Paper›PMID 41726831›Full record

ArticleFrontiers in psychiatry2026

Demographic characteristics and repeat overdose risk factors in 601 patients with intentional drug overdose in the emergency department: a cross-sectional study.

Shumin Rong, Yonghui Wan, Han Zhou, Chun Zhang, Meiling Fan, Jie Hao, Xiaojie Yan

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. 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

7 authors.

Shumin RongEmergency Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Yonghui WanDepartment of Nursing, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Han ZhouDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Chun ZhangDepartment of Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Meiling FanDepartment of Traditional Chinese Medicine, Wudong Hospital of Wuhan, Wuhan, Hubei, China.
Jie HaoEmergency Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Xiaojie YanEmergency Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the demographic and clinical characteristics of patients with intentional drug overdose (IDO) presenting to the emergency department and to identify risk factors associated with repeated IDO, thereby providing an evidence-based foundation for emergency nursing interventions and prevention strategies. Methods: A retrospective cross-sectional study was conducted using emergency department medical records of 601 patients with intentional drug overdose (IDO) (ICD-10 codes: T36-T50) who presented to a tertiary hospital in Wuhan, China, between January 2023 and December 2024. Demographic characteristics, seasonal distribution, substance categories, psychiatric history, alcohol use, and prior self-harm were collected. Descriptive statistics, chi-square tests, and multivariable logistic regression analyses were performed. Results: The majority of patients were female (70.4%) and adolescents or young adults aged 10-29 years (72.2%), with a median age of 22 years. Overall, IDO cases demonstrated seasonal peaks in autumn and spring, accounting for 61.6% of presentations. Age-stratified analyses revealed significant seasonal variation (χ² = 27.064,

Indexed as

emergency departmentemergency nursingintentional drug overdoseprevention strategiesrecurrencerisk factorsself-injurious behavior

Identifiers

PMID41726831
PMCPMC12916651

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.