ArticleCureus2025
Sensitivity and Specificity of Serial Focused Assessment With Sonography in Trauma (FAST) in Patients With Blunt Abdominal Trauma.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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
3 citing papers in PubMed.
- Volume-dependent detection of free intraperitoneal fluid by FAST: a prospective in-vivo study with sequential fluid instillation.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026Article
- Diagnostic accuracy of focused assessment with sonography in trauma for blunt abdominal injury: A prospective observational study.Bioinformation · 2026Article
- Clinical assessment versus radiological investigations: Predictive accuracy for intra-abdominal injury after blunt trauma.Bioinformation · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Blunt abdominal trauma (BAT) is a major cause of morbidity and mortality, most frequently resulting from road traffic accidents and falls. Focused assessment with sonography in trauma (FAST) is a rapid, non-invasive, bedside imaging technique used to detect intra-abdominal free fluid. While FAST is widely accessible and radiation-free, its diagnostic accuracy varies with time and clinical context. This study is aimed to evaluate the diagnostic accuracy of serial FAST performed at 4, 8, and 12 hours after injury, using contrast-enhanced computed tomography (CECT) whole abdomen as the reference. Materials and methods This was a prospective observational study, conducted at the Department of General Surgery, Ganesh Shankar Vidyarthi Memorial Medical College, Kanpur, Uttar Pradesh, India, between April 2024 and April 2025. A total of 132 adult patients presenting with BAT in emergency were enrolled based on strict inclusion and exclusion criteria. FAST was performed at 4, 8, and 12 hours post-injury. Diagnostic performance was assessed by comparing FAST findings with CECT results in terms of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results Liver injuries were the most common (37.12%), followed by splenic and gastrointestinal injuries (18.18% each). Sensitivity of FAST improved from 64.4% at 4 hours to 76.3% at 8 hours and 88.1% at 12 hours. Specificity also increased from 64.3% to 85.7% across the same intervals. PPV remained consistently high (>93%), whereas NPV increased from 17.6% to 46.2%. The diagnostic improvement over time was statistically significant (p < 0.05 for 8 and 12 hours). Conclusion Serial FAST enhances diagnostic accuracy in BAT, particularly when performed at delayed intervals. While a positive FAST is highly predictive of injury, a negative FAST, especially at earlier time points, should be interpreted with caution. Integration of serial FAST into trauma protocols can improve injury detection and clinical outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.