Evidence map›Paper›PMID 39687642›Full record

ArticleWorld journal of clinical cases2024

Comprehensive epidemiological assessment of trauma incidents at a level I trauma center.

Zhao-Yin Su, Hui Wei, Wei-Ning Wang, Yi-Feng Lin, Yu-Li He, Yao Liu, Ru-Bing Lin, Ya-Tao Liu, Nerich Michael

Abstract read
In one paragraph

Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Relevance of epidemiology data in trauma management.World journal of clinical cases · 2025
    Article
  4. Article
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

9 authors.

Zhao-Yin SuThe First Clinical College of Medicine, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Hui WeiSchool of Stomatology, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Wei-Ning WangSchool of Stomatology, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Yi-Feng LinThe First Clinical College of Medicine, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Yu-Li HeThe First Clinical College of Medicine, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Yao LiuThe First Clinical College of Medicine, Lanzhou University, Lanzhou 730000, Gansu Province, China.
Ru-Bing LinDepartment of Orthopedics, Shenzhen Children's Hospital, Shenzhen 518000, Guangdong Province, China.
Ya-Tao LiuDepartment of Anesthesia, First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China. doctorliuyt@163.com.
Nerich MichaelDepartment of Trauma Surgery, University Hospital Regensburg, Regensburg 93053, Bavaria, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe continuous development of social and economic progress and ongoing enhancement of infrastructure construction has led to drastic changes in the occurrence of trauma.

aimTo analyze the epidemiological characteristics of trauma in Lanzhou City to provide theoretical references for improving quality of trauma care.

methodsA retrospective analysis of clinical data from 16585 trauma patients treated at the First Hospital of Lanzhou University Trauma Center from November 1, 2021 to October 31, 2023 was conducted. Data including age, sex, time of trauma, cause of trauma, and major injured body parts were statistically analyzed.

resultsA total of 18235 patients were admitted, with complete data for 16585 cases. Of these, 9793 were male and 6792 were female (male-to-female ratio of 1.44:1). The peak times for trauma occurrence were 10 AM-12 PM and 6-10 PM, and the peak months were from May to October. The leading causes of trauma were falls (45.32%), other trauma (15.88%), road traffic accidents (15.15%), violence (10.82%), cutting/stabbing (9.41%), mechanical injuries (2.65%), winter sports injuries (0.36%), animal bites (0.22%), burns (0.09%), and electrical injuries (0.02%). The distribution of majorly injured body parts showed statistical significance, with limbs/skin being the most affected followed by the head/neck, chest/abdomen, and back.

conclusionMedical institutions and government agencies can implement preventive measures and policies based on the characteristics of trauma determined in this study to enhance the quality and level of trauma care.

Indexed as

Disease analysisEpidemiologyInjuryTrauma and injuryTrauma center

Identifiers

PMID39687642
PMCPMC11525904

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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.