Background: The benefits of immunonutrition (IM) in patients who underwent pancreatic surgery are unclear.
Methods: A meta-analysis of randomized clinical trials (RCTs) comparing IM with standard nutrition (SN) in pancreatic surgery was carried out. A random-effects trial sequential meta-analysis was made, reporting Risk Ratio (RR), mean difference (MD), and required information size (RIS). If RIS was reached, false negative (type II error) and positive results (type I error) could be excluded. The endpoints were morbidity, mortality, infectious complication, postoperative pancreatic fistula (POPF) rates, and length of stay (LOS).
Results: The meta-analysis includes 6 RCTs and 477 patients. Morbidity (RR 0.77; 0.26 to 2.25), mortality (RR 0.90; 0.76 to 1.07), and POPF rates were similar. The RISs were 17,316, 7,417, and 464,006, suggesting a type II error. Infectious complications were lower in the IM group, with a RR of 0.54 (0.36-0.79; 95 CI). The LOS was shorter in IM (MD -0.3 days; -0.6 to -0.1). For both, the RISs were reached, excluding type I error.
Conclusion: The IM can reduce infectious complications and LOS The small differences in mortality, morbidity, and POPF make it impossible to exclude type II error due to large RISs.
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http://dx.doi.org/10.1016/j.hpb.2023.03.014 | DOI Listing |
Alzheimers Dement
December 2024
Washington University School of Medicine, St. Louis, MO, USA.
Background: The well-accepted statistical efficacy inference approach for Alzheimer's disease (AD) clinical trials compares the absolute difference in change from baseline at the last study visit using MMRM (henceforth referred to as MMRM-Last-Visit). Recent AD clinical trials have shown that treatment effects may be manifested prior to 18 months. The objective is to evaluate models estimating an overall treatment effect across all post-baseline visits that may characterize disease modifying effects in contemporary early AD clinical trials.
View Article and Find Full Text PDFBackground: In AD trials, the treatment effect is typically evaluated by estimating the absolute difference in change from baseline to the end-of-study visit (e.g., 18 months) between treatment arms using the MMRM model.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Cumulus Neuroscience, Dublin, Ireland.
Background: Current tools for Alzheimer's disease screening and staging used in clinical research (e.g. ACE-3, ADAS-Cog) require substantial face-to-face time with trained professionals, and may be affected by subjectivity, "white coat syndrome" and other biases.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Brighton and Sussex Medical School, Brighton, UK.
Background: Walking is a key facilitator of healthy ageing and may reduce risk of cognitive decline in older adults. To develop suitable, accessible interventions, we must objectively consider the socio-ecological factors which influence participation in walking activities. For example, walking may be influenced by the volume and type of activities one's partner participates in (i.
View Article and Find Full Text PDFJ Surg (Lisle)
November 2024
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Purpose: Appropriate opioid management is crucial to reduce opioid overdose risk for ICU surgical patients, which can lead to severe complications. Accurately predicting postoperative opioid needs and understanding the associated factors can effectively guide appropriate opioid use, significantly enhancing patient safety and recovery outcomes. Although machine learning models can accurately predict postoperative opioid needs, lacking interpretability hinders their adoption in clinical practice.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!