Objective: Prognostic performance of inflammation-based prognostic scores, including the Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), Prognostic Index (PI) and Prognostic Nutritional Index (PNI) has been explored in patients with varied types of cancer, though little data is available in intrahepatic cholangiocarcinoma (ICC). This study sought to evaluate the impact of systemic inflammation on the overall survival (OS) of ICC patients, and to identify more optimal prognostic indices.
Patients And Methods: The prognostic power of all the scores mentioned above was compared in 123 patients underwent curative surgery for ICC using Kaplan-Meier curves, COX regression models and the receiver operating characteristics (ROC) curves. The results were validated in a cohort of 95 ICC patients.
Results: Multivariate analysis identified LMR as the only independent inflammation-based predictor for OS in the training cohort (=0.007, HR 2.082, 95% CI 1.218-3.558). More importantly, the combined score of LMR and pTNM designated the inflammation-based pathological stage (IPS) outperformed other established scores in terms of discriminatory ability, monotonicity and homogeneity in the training and validation cohorts.
Conclusion: This study reveals that preoperative LMR is an independent predictor of OS in ICC patients after hepatectomy, and the IPS can be applied as a novel prognostic indicator in these patients.
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http://dx.doi.org/10.2147/CMAR.S198959 | DOI Listing |
Neurosurgery
February 2025
Global Neurosciences Institute, Philadelphia , Pennsylvania , USA.
Background And Objectives: Despite growing interest in how patient frailty affects outcomes (eg, in neuro-oncology), its role after transsphenoidal surgery for Cushing disease (CD) remains unclear. We evaluated the effect of frailty on CD outcomes using the Registry of Adenomas of the Pituitary and Related Disorders (RAPID) data set from a collaboration of US academic pituitary centers.
Methods: Data on consecutive surgically treated patients with CD (2011-2023) were compiled using the 11-factor modified frailty index.
Updates Surg
January 2025
Department of Radiation Oncology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
Whether primary lesion surgery improves survival in patients with de novo metastatic breast cancer (dnMBC) is inconclusive. We aimed to establish a prognostic prediction model for patients with de novo metastatic breast invasive ductal carcinoma (dnMBIDC) based on machine learning algorithms and to investigate the value of primary site surgery. The data used in our study were obtained from the Surveillance, Epidemiology, and End Results database (SEER, 2010-2021) and the First Affiliated Hospital of Nanchang University (1st-NCUH, June 2013-June 2023).
View Article and Find Full Text PDFAnn Nucl Med
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
The purpose of this systematic review was to evaluate the role of PSMA PET/CT in intermediate-risk prostate cancer (PCa) patients, to determine whether it could help improve treatment strategy and prognostic stratification. A systematic literature search up to May 2024 was conducted in the PubMed, Embase and Scopus databases. Articles with mixed risk patient populations, review articles, editorials, letters, comments, or case reports were excluded.
View Article and Find Full Text PDFClin Transl Oncol
January 2025
Department of Medical Oncology, Ankara University School of Medicine, 06590, Ankara, Türkiye.
Purpose: Identifying prognostic indicators for risk stratification in metastatic renal cell carcinoma (mRCC) is crucial for optimizing treatment strategies and follow-up plans. This study aims to investigate the prognostic role of the glucose-to-lymphocyte ratio (GLR) in patients with mRCC receiving tyrosine kinase inhibitors (TKIs) as first-line therapy.
Methods: A retrospective cohort study was conducted using data from the Turkish Oncology Group Kidney Cancer Consortium Database.
J Neurooncol
January 2025
Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, 100093, China.
Purpose: This study aimed to describe the incidence, clinical and pathological features, and outcomes of H3 K27M- mutant Diffuse Midline Glioma (DMG) patients with leptomeningeal dissemination (LMD) and systematically investigate the predictive and prognostic factors to clarify the response to treatment after the onset of LMD.
Methods: A total of 304 patients diagnosed with DMG from October 17, 2017, to October 17, 2023, were enrolled in this study, of which 32 patients were diagnosed with LMD. Logistic regression analyses were conducted to identify the predictors of LMD, including clinical, molecular, and imaging data.
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