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Objective: To evaluate the prognostic nutritional index (PNI) in predicting the biochemical recurrence (BCR) of patients treated with robot-assisted laparoscopic radical prostatectomy (RALP).
Methods: The clinical data of 136 patients treated with RALP in the Department of Urology, The Third Xiangya Hospital of Central South University were retrospectively analyzed. The endpoint of observation was BCR. The area under the receiver operating characteristic (ROC) curve was evaluated to determine the optimal cutoff value of PNI. The correlation of the PNI with BCR was estimated using Kaplan-Meier analysis and Cox proportional hazards model.
Results: The optimal cutoff value of the PNI was 46.03 according to the ROC curve. (95% confidence interval: 0.604-0.805, Youden index = 0.401, sensitivity = 82.5%, specificity = 57.6%, p < 0.01). Multivariate Cox analysis showed that clinical staging, prostate-specific antigen, and PNI were independent prognostic factors for predicting BCR in patients treated with RALP.
Conclusion: PNI is an independent prognostic factor for predicting BCR in patients treated with RALP. The incorporation of the PNI into risk assessments may provide additional prognostic information.
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http://dx.doi.org/10.1002/pros.24263 | DOI Listing |
Arch Med Res
September 2025
Department and Graduate Institute of Microbiology and Immunology, National Defense Medical Center, Taipei, Taiwan. Electronic address:
Background: Atherosclerosis, a leading cause of cardiovascular disease (CVD) mortality worldwide, is characterized by dysregulated lipid metabolism and unresolved inflammation. Macrophage-derived foam cell formation and apoptosis contribute to plaque formation and vulnerability. Elevated serum galectin-3 (Gal-3) levels are associated with increased CVD risk, and Gal-3 in plaques is strongly associated with macrophages.
View Article and Find Full Text PDFInt J Epidemiol
August 2025
Department of Biostatistics and Informatics, University of Colorado, Aurora, CO, United States.
Background: Existing longitudinal cohort study data and associated biospecimen libraries provide abundant opportunities to efficiently examine new hypotheses through retrospective specimen testing. Outcome-dependent sampling (ODS) methods offer a powerful alternative to random sampling when testing all available specimens is not feasible or biospecimen preservation is desired. For repeated binary outcomes, a common ODS approach is to extend the case-control framework to the longitudinal setting.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Department of Psychiatry, Helsinki University Hospital and Helsinki University, Helsinki, Finland.
Background: Internet-based cognitive behavioral therapies (iCBTs) are typically categorized into 2 types: therapist-assisted and self-guided. Both formats have accumulated substantial evidence supporting their cost-effectiveness and efficacy in treating a range of mental health conditions. However, therapist-assisted iCBTs tend to show lower dropout rates than self-guided versions.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
School of Rehabilitation Science, University of Saskatchewan, Saskatoon, SK, Canada.
Background: In Canada, the Indigenous population is the youngest and fastest growing, yet ongoing health disparities for Indigenous peoples are widely recognized. There is a concerning lack of research on childhood disabilities and health conditions in Indigenous populations in Canada. For children with disabilities and chronic health conditions, ongoing access to rehabilitation services, such as occupational therapy, physical therapy, speech-language pathology, and audiology, is critical in promoting positive health and developmental outcomes.
View Article and Find Full Text PDFJMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
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