ReviewEFORT open reviews2023
Severely injured patients: modern management strategies.
Review in EFORT open reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Caught in the Crossroads: Damage Control Orthopedics versus Early Total Care for Polytrauma in the Indian Scenario.Annals of African medicine · 2026Review
- Development of a nomogram to predict in-hospital mortality of trauma patients in the ICU: an analysis of the MIMIC-IV database.Scientific reports · 2026Article
- Article
- Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk.Scientific reports · 2025Article
- Advances in Managing Pelvic Fractures in Polytrauma: A Comprehensive Review.Journal of clinical medicine · 2025Review
- European society for trauma and emergency surgery member-identified research priorities in emergency surgery: a roadmap for future clinical research opportunities.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Review
- Fracture fixation in polytraumatized patients-From an interdisciplinary early total/appropriate care to the safe definitive surgery concept.Frontiers in medicine · 2024Review
- A Healed Intertrochanteric Femur Fracture, Shoulder, and Rib Fractures in an Ancient Nubian Female: An Osteoarchaeological Perspective.TheScientificWorldJournal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Management of severely injured patients remains a challenge, characterised by a number of advances in clinical practice over the last decades. This evolution refers to all different phases of patient treatment from prehospital to the long-term rehabilitation of the survivors. The spectrum of injuries and their severity is quite extensive, which dictates a clear understanding of the existing nomenclature. What is defined nowadays as polytrauma or major trauma, together with other essential terms used in the orthopaedic trauma literature, is described in this instructional review. Furthermore, an analysis of contemporary management strategies (early total care (ETG), damage control orthopaedics (DCO), early appropriate care (EAC), safe definitive surgery (SDS), prompt individualised safe management (PRISM) and musculoskeletal temporary surgery (MuST)) advocated over the last two decades is presented. A focused description of new methods and techniques that have been introduced in clinical practice recently in all different phases of trauma management will also be presented. As the understanding of trauma pathophysiology and subsequently the clinical practice continuously evolves, as the means of scientific interaction and exchange of knowledge improves dramatically, observing different standards between different healthcare systems and geographic regions remains problematic. Positive impact on the survivorship rates and decrease in disability can only be achieved with teamwork training on technical and non-technical skills, as well as with efficient use of the available resources.
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Registered trials
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.