Trial reportEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2022
A new screening model for quantitative risk assessment of blunt thoracic aortic injury.
Trial report in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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.
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Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- The clinical characteristics and surgical treatment for delayed blunt thoracic aortic injury-a case series.Journal of thoracic disease · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEarly identification of blunt thoracic aortic injury is vital for preventing subsequent aortic rupture. However, risk factors for blunt thoracic aortic injury remain unclear, and a prediction rule remains to be established. We developed and internally validated a new nomogram-based screening model that allows clinicians to quantify blunt thoracic aortic injury risk.
methodsAdult patients (age ≥ 18 years) with blunt injury were selected from a nationwide Japanese database (January 2004-May 2019). Patients were randomly divided into training and test cohorts. A new nomogram-based blunt thoracic aortic injury-screening model was constructed using multivariate logistic regression analysis to quantify the association of potential predictive factors with blunt thoracic aortic injury in the training cohort.
resultsOverall, 305,141 patients (training cohort, n = 152,570; test cohort, n = 152,571) were eligible for analysis. Median patient age was 65 years, and 60.9% were men. Multivariate analysis in the training cohort revealed that 13 factors (positive association: age ≥ 55 years, male sex, high-energy impact, hypotension on hospital arrival, Glasgow Coma Scale score < 9 on hospital arrival, diaphragmatic injuries, hepatic injuries, pulmonary injuries, cardiac injuries, renal injuries, sternum fractures, multiple rib fractures, and pelvic fractures) were significantly associated with blunt thoracic aortic injury and included in the screening model. In the test cohort, the new screening model had an area under the curve of 0.87.
conclusionsOur novel nomogram-based screening model aids in the quantitative assessment of blunt thoracic aortic injury risk. This model may improve tailored decision-making for each patient.
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Registered trials
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