Evidence map›Paper›PMID 39285499›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2024

Insights into epidemiological trends of severe chest injuries: an analysis of age, period, and cohort from 1990 to 2019 using the Global Burden of Disease study 2019.

Qingsong Chen, Guangbin Huang, Tao Li, Qi Zhang, Ping He, Jun Yang, Yongming Li, Dingyuan Du

Abstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. High-frequency Nasal Cannula Oxygenation in Thoracic Trauma: Unrealistic Expectations?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Article
  5. 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

8 authors.

Qingsong ChenSchool of Microelectronics and Communication Engineering of Chongqing University, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 174, Zhengjie street, Shapingba District, 400044, and No. 1, Jiangkang Road, YuzhongDistrict, 400014, Chongqing, China.ORCID http://orcid.org/0000-0002-6025-477X
Guangbin HuangDepartment of Traumatology, National Regional Trauma Medical Center, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 1, Jiangkang Road, Yuzhong District, 400014, Chongqing, China.
Tao LiDepartment of Traumatology, National Regional Trauma Medical Center, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 1, Jiangkang Road, Yuzhong District, 400014, Chongqing, China.
Qi ZhangDepartment of Traumatology, National Regional Trauma Medical Center, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 1, Jiangkang Road, Yuzhong District, 400014, Chongqing, China.
Ping HeDepartment of Traumatology, National Regional Trauma Medical Center, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 1, Jiangkang Road, Yuzhong District, 400014, Chongqing, China.
Jun YangDepartment of Traumatology, National Regional Trauma Medical Center, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 1, Jiangkang Road, Yuzhong District, 400014, Chongqing, China.
Yongming LiSchool of Microelectronics and Communication Engineering of Chongqing University, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 174, Zhengjie street, Shapingba District, 400044, and No. 1, Jiangkang Road, YuzhongDistrict, 400014, Chongqing, China. yongmingli@cqu.edu.cn.
Dingyuan DuSchool of Microelectronics and Communication Engineering of Chongqing University, Chongqing University Central Hospital (Chongqing Emergency Medical Center), No. 174, Zhengjie street, Shapingba District, 400044, and No. 1, Jiangkang Road, YuzhongDistrict, 400014, Chongqing, China. dudingyuan@qq.com.

Funding

the Chongqing Elite Research Project cstc2022ycjh-bgzxm0245the Major Research Project of the National Trauma Regional Medical Center (jointly sponsored by the Chongqing Municipal Government and Health Commission jjzx2021-gjcsqyylzx01the open topics of the Key Laboratory of Emergency Medicine in Chongqing 2022KFKI07
6 · The paper itself

Abstract

backgroundThis study assessed the global trends and burden of severe chest injury, including rib fractures, lung contusions, and heart injuries from 1990 to 2019. Herein, we predicted the burden patterns and temporal trends of severe chest injuries to provide epidemiological evidence globally and in China.

methodsIn our analysis, the age-standardized incidence rate (ASIR), prevalence rate (ASPR), and years lived with disability rate (ASYR) of severe chest injury were analyzed by gender, age, sociodemographic index, and geographical region between 1990 and 2019 using data from the Global Burden of Disease study 2019. Trends were depicted by calculating the estimated annual percentage changes (EAPCs). The impact of age, period, and cohort factors was assessed using an Age-Period-Cohort model. Autoregressive integrated moving average (ARIMA) model was employed to predict severe chest injury trends from 2020 to 2050.

resultsIn 2019, the global number of severe chest injury cases reached 7.95 million, with the highest incidence rate observed in Central Europe (209.61). Afghanistan had the highest ASIRs at 277.52, while North Korea had the lowest ASIRs at 41.02. From 1990 to 2019, the Syrian Arab Republic saw significant increases in ASIR, ASPR, and ASYR, with EAPCs of 10.4%, 9.31%, and 10.3%, respectively. Burundi experienced a decrease in ASIR with an EAPC of - 6.85% (95% confidence interval [CI] - 11.11, - 2.37), while Liberia's ASPR and ASYR declined with EAPCs of - 3.22% (95% CI - 4.73, - 1.69) and - 5.67% (95% CI - 8.00, - 3.28), respectively. Falls and road injuries remained the most common causes. The relative risk of severe chest injury by age, period, and cohort demonstrated a complex effect globally and in China. The ARIMA model forecasted a steady increase in global numbers from 2020 to 2050, while in China, it forecasted an increase in incidence, a decrease in ASIR and ASYR, and an increase in ASPR.

conclusionsThis study provides a groundbreaking analysis of global severe chest injury, shedding light on its measures and impact. These findings highlight the need for timely, specialized care and addressing regional disparities to mitigate the severe chest injury burden.

Indexed as

Global Burden of DiseaseThoracic InjuriesAdolescentAdultAgedAge DistributionChildChild, PreschoolChinaCohort StudiesFemaleGlobal HealthHumansIncidenceInfantMaleAge-period-cohortARIMA modelCausesGlobal Burden of Disease 2019IncidencePrevalenceSevere chest injuryYears lived with disability

Identifiers

PMID39285499
PMCPMC11403847

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.