Evidence map›Paper›PMID 38458896›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2024

Risk factors and predictive model of cerebral edema after road traffic accidents-related traumatic brain injury.

Di-You Chen, Peng-Fei Wu, Xi-Yan Zhu, Wen-Bing Zhao, Shi-Feng Shao, Jing-Ru Xie, Dan-Feng Yuan, Liang Zhang, Kui Li, Shu-Nan Wang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Di-You ChenInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China; Department of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Peng-Fei WuChongqing Key Laboratory of Traffic Injury and Vehicle Ergonomics, Chongqing, 400042, China.
Xi-Yan ZhuInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Wen-Bing ZhaoInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Shi-Feng ShaoWound Trauma Medical Center, State Key Laboratory of Trauma, Burns and Combined Injury, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Jing-Ru XieInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Dan-Feng YuanInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Liang ZhangInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Kui LiInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Shu-Nan WangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, 400042, China. Electronic address: wangshunan@tmmu.edu.cn.
Hui ZhaoInstitute for Traffic Medicine, Daping Hospital, Army Medical University, Chongqing, 400042, China. Electronic address: box.zhaohui@163.com.
Daping Hospital · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCerebral edema (CE) is the main secondary injury following traumatic brain injury (TBI) caused by road traffic accidents (RTAs). It is challenging to be predicted timely. In this study, we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries.

methodsThis case-control study included 218 patients with TBI caused by RTAs. The cohort was divided into CE and non-CE groups, according to CT results within 7 days. Demographic data, imaging data, and clinical data were collected and analyzed. Quantitative variables that follow normal distribution were presented as mean ± standard deviation, those that do not follow normal distribution were presented as median (Q

resultsAccording to the study, almost half (47.3%) of the patients were found to have CE. The risk factors associated with CE were bilateral frontal lobe contusion, unilateral frontal lobe contusion, cerebral contusion, subarachnoid hemorrhage, and abbreviated injury scale (AIS). The odds ratio values for these factors were 7.27 (95% confidence interval (CI): 2.08 - 25.42, p = 0.002), 2.85 (95% CI: 1.11 - 7.31, p = 0.030), 2.62 (95% CI: 1.12 - 6.13, p = 0.027), 2.44 (95% CI: 1.25 - 4.76, p = 0.009), and 1.5 (95% CI: 1.10 - 2.04, p = 0.009), respectively. We also observed that patients with mild/moderate TBI (AIS ≤ 3) had a 50% probability of developing CE 19.7 h after injury (χ

conclusionOur study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury. Specifically, those with more severe injuries experienced an earlier onset of CE. These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.

Indexed as

Accidents, TrafficBrain EdemaBrain Injuries, TraumaticAdultCase-Control StudiesFemaleHumansLogistic ModelsMaleMiddle AgedRisk FactorsCerebral edemaRisk factorsRoad traffic accidentTime windowTraumatic brain injury

Identifiers

PMID38458896
PMCPMC11138350
OpenAlexW4392093902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.