ArticleJournal of clinical orthopaedics and trauma
Validation of thoracic injury rule out criteria as a decision instrument for screening of chest radiography in blunt thoracic trauma.
Article in Journal of clinical orthopaedics and trauma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 16 citations in OpenAlex.
- Predicting the Presence of Traumatic Chest Injuries Using Machine Learning Algorithm.Archives of academic emergency medicine · 2025Article
- Prognostic Value of CRASH and IMPACT Models for Predicting Mortality and Unfavorable Outcome in Traumatic Brain Injury; a Systematic Review and Meta-Analysis.Archives of academic emergency medicine · 2023Review
- Value of Canadian C-spine rule versus the NEXUS criteria in ruling out clinically important cervical spine injuries: derivation of modified Canadian C-spine rule.La Radiologia medica · 2021Article
- Clinical predictors of abnormal chest CT scan findings following blunt chest trauma: A cross-sectional study.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2020Article
- Pediatric Thoracic Injury Rule out Criteria (pTIRC) in Diagnosis of Very Low Risk Children for Traumatic Intrathoracic Injuries; a Diagnostic Accuracy Study.Archives of academic emergency medicine · 2020Article
- Glasgow Coma Scale and FOUR Score in Predicting the Mortality of Trauma Patients; a Diagnostic Accuracy Study.Emergency (Tehran, Iran) · 2018Article
- Pediatric Emergency Care Applied Research Network (PECARN) prediction rules in identifying high risk children with mild traumatic brain injury.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2017Article
- Performance of physiology scoring systems in prediction of in-hospital mortality of traumatic children: A prospective observational study.Journal of clinical orthopaedics and trauma · 2017Article
- Pan vs. Selective Computed Tomography Scans in Management of Multiple Trauma Patients; a Brief Report.Emergency (Tehran, Iran) · 2017Article
- Worthing Physiological Score vs Revised Trauma Score in Outcome Prediction of Trauma patients; a Comparative Study.Emergency (Tehran, Iran) · 2017Article
- Rapid Acute Physiology Score versus Rapid Emergency Medicine Score in Trauma Outcome Prediction; a Comparative Study.Emergency (Tehran, Iran) · 2017Article
- Thoracic Injury Rule out Criteria in Prediction of Traumatic Intra-thoracic Injuries; a Validation Study.Emergency (Tehran, Iran) · 2017Article
- 20-Day Trend of Serum Potassium Changes in Bam Earthquake Victims with Crush Syndrome; a Cross-sectional Study.Emergency (Tehran, Iran) · 2017Article
- Comparison of different risk stratification systems in predicting short-term serious outcome of syncope patients.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2016Article
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Authors and funding
10 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThoracic injury rule out criteria (TIRC) were first introduced as a decision instrument for selective chest radiography in blunt thoracic trauma in 2014. However, the validity of this model has not been assessed in other studies. In this regard, the present survey evaluates the validity of TIRC model in a multi-center setting.
methodsIn this cross-sectional study, clinical presentations and chest radiograms of multiple trauma patients referring to 6 educational hospitals in Iran were evaluated. Data were gathered prospectively during 2015. In each center, data collection and interpretation of radiograms were conducted by two different emergency medicine specialists. Measures were then taken for assessment of discriminatory power and calibration of the model.
resultsData from 2905 patients were gathered (73.17% were male; the mean age was 33.53 ± 15.42 years). Area under the receiver operating characteristics curve of the TIRC model for detection of thoracic traumatic injuries was 0.93 (95%CI: 0.93-0.94). Sensitivity and specificity of the model were 100 (98.91-100) and 67.65 (65.76-69.45), respectively. The intercept of TIRC calibration plot was 0.08 (95%CI: 0.07-0.09), and its slope was 1.19 (95%CI: 1.15-1.24), which are indicative of the model being perfect in detecting presence or absence of lesions in chest radiograms.
conclusionThe findings are corroborative of external validation, good discrimination, and proper calibration of TIRC model in screening of multiple trauma patients for obtaining chest radiograms.
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