Background: High volume upper gastrointestinal cancer hospitals demonstrate improved postoperative mortality rates, but the impact on survival is unclear. This population-based cohort study explores the effect of hospital volume on survival following upper gastrointestinal cancer surgery.
Patients And Methods: This study used a population-based cohort of 3866 patients who underwent surgery for oesophageal or gastric cancer between 1998 and 2008 with follow-up until December 2008.
Results: Hospital volume ranged from 1 to 68 cases/year. Overall, 5-year survival was 27%. Increasing age and advanced stage of disease were independently correlated with shorter survival. High hospital volume was significantly and independently correlated with improved 30-day mortality postoperatively (P<0.001), but not with survival beyond 30 days.
Conclusion: The correlation between hospital volume and improved 30-day mortality following oesophageal and gastric cancer surgery supports the centralisation of upper gastrointestinal cancer surgery services. The low survival in both high and low volume hospitals beyond 30 days highlights the need for increasing earlier diagnosis and optimising approaches to radical treatment.
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http://dx.doi.org/10.1016/j.ejca.2011.07.001 | DOI Listing |
Aliment Pharmacol Ther
January 2025
Gastrointestinal and Liver Theme, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre (BRC), Nottingham University Hospitals NHS Trust and the University of Nottingham, School of Medicine, Queen's Medical Centre, Nottingham, UK.
Background: Colorectal cancer (CRC) is the third most common cancer in the United Kingdom and the second largest cause of cancer death.
Aim: To develop and validate a model using available information at the time of faecal immunochemical testing (FIT) in primary care to improve selection of symptomatic patients for CRC investigations.
Methods: We included all adults (≥ 18 years) referred to Nottingham University Hospitals NHS Trust between 2018 and 2022 with symptoms of suspected CRC who had a FIT.
Circ Cardiovasc Imaging
January 2025
Cardiovascular Center Aalst, Onze-Lieve-Vrouwziekenhuis (OLV) Clinic, Aalst, Belgium (M. Belmonte, P.P., M.M.V., M. Beles, H.O., R.S., G.E., M.S., R.D., W.H., J.V.K., J.B., M.V.).
Background: Coronary computed tomography angiography (CCTA) is emerging as a valuable tool for noninvasive surveillance of cardiac allograft vasculopathy (CAV) in patients with heart transplant (HTx). We assessed the diagnostic performance of a comprehensive CCTA-based approach compared with the invasive reference, which includes invasive coronary angiography, intravascular ultrasound, and fractional flow reserve, for detecting CAV.
Methods: This was a multicenter prospective study including 37 patients with HTx who underwent CCTA, invasive coronary angiography, intravascular ultrasound, and fractional flow reserve.
Anaesthesia
January 2025
Department of Anaesthesia and Intensive Care, Hospices Civils de Lyon, Femme Mère Enfant Hospital, Bron, France.
Introduction: The diagnostic accuracy of gastric ultrasound in children has not been assessed thoroughly. We aimed to determine the sensitivity and specificity in children of a qualitative ultrasound examination of the gastric antrum in the supine 45° semi-recumbent position and a clinical algorithm for detecting a gastric fluid volume > 1.25 ml.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFCureus
December 2024
General Surgery, Sri Devaraj Urs Medical College, Kolar, IND.
Introduction Acute appendicitis is a common surgical emergency that requires a timely and accurate diagnosis to prevent complications. Several laboratory markers have been assessed to improve the diagnostic accuracy of acute appendicitis, including C-reactive protein (CRP), white blood cell (WBC) count, and cytokines like interleukins and tumor necrosis factor-alpha. One less commonly used but potentially valuable marker is the mean platelet volume (MPV), which indicates the size of circulating platelets and has the potential to serve as a biomarker for inflammatory conditions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!