Evidence map›Paper›PMID 41239025›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2025

Prediction of primary blast lung injury outcomes in goats using CT and injury factors.

Bo Yang, Ling Feng, Hanwei Wang, Yishan Yao, Kunlin Xiong, Shunan Wang

Abstract read
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2025. 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
–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

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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.

  1. Blast injury simulation in pigs using an air-driven shock wave generator: effects of shock waves of lateral shock wave exposure.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    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

6 authors.

Bo YangDepartment of Radiology, Daping hospital, Army Medical University, Chongqing, 400042, China.
Ling FengDepartment of Radiology, Daping hospital, Army Medical University, Chongqing, 400042, China.
Hanwei WangDepartment of Radiology, Daping hospital, Army Medical University, Chongqing, 400042, China.
Yishan YaoDepartment of Radiology, Daping hospital, Army Medical University, Chongqing, 400042, China.
Kunlin XiongDepartment of Radiology, Daping hospital, Army Medical University, Chongqing, 400042, China. xklin5918@tmmu.edu.cn.
Shunan WangDepartment of Radiology, Daping hospital, Army Medical University, Chongqing, 400042, China. wangshunan@tmmu.edu.cn.

Funding

Chongqing Medical Scientific Research Project 2023MSXM009Project of Science and Technology Plan of Chongqing Clinical research Centre of Imaging and Nuclear Medicine CSTC2015YFPT-gcjsyjzx0175Research Project on Education Reform of Army Medical University 2022A14
6 · The paper itself

Abstract

purposeTo investigate the feasibility of using CT combined with injury factors to predict the lethality and severity of primary blast lung injury through establishing a goat model simulating real explosion effects.

methodsHigh explosives were detonated at two altitudes in natural fields, with goats positioned at distances of 2 to 6 meters from the explosion center, facing either the right side or the front chest. CT features and quantitative data post-injury were recorded, along with blood gas analysis in surviving goats and lung coefficient measurements. Correlation analysis between CT severity score and lung coefficient was performed. ROC curve analysis was conducted to evaluate the multi-factors in distinguishing severity (severe/serious vs. moderate/slight) and lethality (death vs. survival). Nomograms based on injury factors and CT were developed to predict the risk of severe/serious injury and death.

resultsAfter the experiment, a total of 87 goats were classified as severe/serious lung injury through pathology, including 40 goats that died on the spot. High altitude, close distance, and right-side orientation exacerbated lung injury severity, with close distance being the primary cause of death. Lung coefficient, CT score, and volume exhibited excellent performance in distinguishing outcomes (AUC: 0.967, 0.925, and 0.924 for lethality; 0.944, 0.915, and 0.909 for severity, respectively), with no significant difference in diagnostic efficacy. Moderate correlations were observed between lung coefficient and CT score for severity (r=0.440; 0.480), with a strong correlation for survival but none for death. Volume emerged as the primary risk factor, and the nomograms incorporating multiple factors demonstrated personalized predictive abilities.

conclusionCT combined with altitude, distance, and orientation can effectively predict the lethality and severity of primary blast lung injury, providing significant value for accurate injury assessment and clinical management.

Indexed as

Blast InjuriesLung InjuryTomography, X-Ray ComputedAltitudeAnimalsBlood Gas AnalysisDisease Models, AnimalGoatsInjury Severity ScoreNomogramsROC CurveBlast lung injuryCTExplosionLethalitySeverity

Identifiers

PMID41239025
PMCPMC12618436

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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.