SynthesisCritical care (London, England)2023
Shock index as predictor of massive transfusion and mortality in patients with trauma: a systematic review and meta-analysis.
Synthesis in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Predictive Performance of Trauma Scoring Systems for Mortality in Patients with High-Energy Trauma in the Emergency Department.Journal of clinical medicine · 2026Article
- Mean arterial pressure-to-norepinephrine-equivalent dose ratio, rather than achieved mean arterial pressure alone, is associated with mortality in septic shock.Journal of intensive care · 2026Article
- Real-time prediction of trauma-induced coagulopathy using an inverted transformer (trauma-former): a methodological feasibility and simulation study based on the ADEMP framework.BMC medical research methodology · 2026Article
- Documentation of Extended Focused Assessment with Sonography in Trauma (eFAST) Is Frequently Incomplete: A Prospective Observational Study.The western journal of emergency medicine · 2026Observational
- Admission Shock Index Is an Independent Predictor of In-Hospital All-Cause Mortality in Patients With Acute Aortic Dissection and Intramural Hematoma.Clinical cardiology · 2026Article
- Article
- Factors associated with emergency department discharge among patients triaged as resuscitation (CTAS level 1): a retrospective cross-sectional study.BMC emergency medicine · 2026Article
- Evaluating the real-world utility of four physiological scores for prehospital interventions in resource-limited EMS systems: a population-based study of 15,720 cases.BMC health services research · 2026Article
- Performance of four scoring systems in predicting the need for massive transfusion in Iranian trauma patients.PloS one · 2026Article
- Article
- Shock Index versus Systolic Blood Pressure for Mortality Prediction in Traumatic Hemorrhage: A Comparative Prognostic Evaluation in a Middle-Income Country.Open access emergency medicine : OAEM · 2026Article
- On-scene machine learning prediction model for massive transfusion in trauma and its association with in-hospital mortality.BJS open · 2025Article
- Composite shock indices with age, GCS, and SpO2 for trauma triage outcomes: a retrospective cohort study.European journal of medical research · 2025Article
- On-scene predictors of injury severity, deterioration, and death following road injury: a systematic scoping review of information available to responders and its use in triage tools.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- A comparison of clinical prediction scores for massive traumatic hemorrhage.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Article
- Prediction of massive transfusion and mortality in early trauma care: A retrospective analysis of scoring systems.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2025Article
- Utility of the Shock Index as a Prognostic Predictor in Patients Undergoing Emergency Surgery for Trauma: A Single Center, Retrospective Study.Journal of clinical medicine · 2025Article
- Article
- Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational study.The Lancet regional health. Europe · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundManagement of bleeding trauma patients is still a difficult challenge. Massive transfusion (MT) requires resources to ensure the safety and timely delivery of blood products. Early prediction of MT need may be useful to shorten the time process of blood product preparation. The primary aim of this study was to assess the accuracy of shock index to predict the need for MT in adult patients with trauma. For the same population, we also assessed the accuracy of SI to predict mortality.
methodsThis systematic review and meta-analysis was performed in accordance with the PRISMA guidelines. We performed a systematic search on MEDLINE, Scopus, and Web of Science from inception to March 2022. Studies were included if they reported MT or mortality with SI recorded at arrival in the field or the emergency department. The risk of bias was assessed using the QUADAS-2.
resultsThirty-five studies were included in the systematic review and meta-analysis, for a total of 670,728 patients. For MT the overall sensibility was 0.68 [0.57; 0.76], the overall specificity was 0.84 [0.79; 0.88] and the AUC was 0.85 [0.81; 0.88]. Positive and Negative Likelihood Ratio (LR+; LR-) were 4.24 [3.18-5.65] and 0.39 [0.29-0.52], respectively. For mortality the overall sensibility was 0.358 [0.238; 0.498] the overall specificity 0.742 [0.656; 0.813] and the AUC 0.553 (confidence region for sensitivity given specificity: [0.4014; 0.6759]; confidence region for specificity given sensitivity: [0.4799; 0.6332]). LR+ and LR- were 1.39 [1.36-1.42] and 0.87 [0.85-0.89], respectively.
conclusionsOur study demonstrated that SI may have a limited role as the sole tool to predict the need for MT in adult trauma patients. SI is not accurate to predict mortality but may have a role to identify patients with a low risk of mortality.
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