Purpose: We validated externally the predictive accuracy of the 2001 Partin tables and compared the 1997 and 2001 versions.
Materials And Methods: We used ROC derived AUC to test the predictive accuracy of organ confinement (OC), extraprostatic extension (ECE), seminal vesicle invasion (SVI) and lymph node involvement (LNI) of 1997 and 2001 Partin tables derived probabilities. These probabilities were defined by the pretreatment clinical stage, serum prostate specific antigen and biopsy Gleason grade of 2,139 patients treated with radical prostatectomy for clinically localized prostate cancer.
Results: OC, ECE, SVI and LNI were noted in 63.5%, 23.1%, 10.5% and 2.9% of cases, respectively. AUC of the 2001 tables was 0.787, 0.766, 0.775 and 0.790, for OC, ECE, SVI and LNI, respectively. These values were virtually the same as the respective 1997 Partin table AUC values, namely 0.784, 0.728, 0.791 and 0.799.
Conclusions: This external validation of the 2001 Partin tables confirms good predictive accuracy of the updated tables. However, predictive accuracy in this external validation data set of 2,139 European men is virtually the same as that of the original 1997 tables. Therefore, a transition from the 1997 tables to the updated 2001 version does not appear warranted unless superior accuracy is demonstrated in other external cohorts.
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http://dx.doi.org/10.1097/01.ju.0000099827.77355.a7 | DOI Listing |
PLoS One
January 2025
Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, PR. China.
Objectives: The aim of this study was to develop and validate a nomogram model that predicts the risk of bone metastasis (BM) in a prostate cancer (PCa) population.
Methods: We retrospectively collected and analyzed the clinical data of patients with pathologic diagnosis of PCa from January 1, 2013 to December 31, 2022 in two hospitals in Yangzhou, China. Patients from the Affiliated Hospital of Yangzhou University were divided into a training set and patients from the Affiliated Clinical College of Traditional Chinese Medicine of Yangzhou University were divided into a validation set.
PLoS One
January 2025
Department of Gastroenterology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Colon cancer, as a highly prevalent malignant tumor globally, poses a significant threat to human health. In recent years, ferroptosis and cuproptosis, as two novel forms of cell death, have attracted widespread attention for their potential roles in the development and treatment of colon cancer. However, the investigation into the subtypes and their impact on the survival of colon cancer patients remains understudied.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Background: This study aims to identify risk factors associated with tuberculosis-specific mortality (TSM) in older adult patients with pulmonary tuberculosis (TB) and to develop a competing risk nomogram for TSM prediction.
Methods: We conducted a retrospective cohort study and randomly selected 528 older adult pulmonary TB patients hospitalized in designated hospitals in Henan Province between January 2015 and December 2020. The cumulative incidence function (CIF) was calculated for both TSM and non-tuberculosis-specific mortality (non-TSM).
Ann Med
December 2025
Endoscopic Diagnosis and Treatment Center, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Background: Liver cirrhosis complicated by portal vein thrombosis (PVT) is a fatal complication with no specific manifestations but often misdiagnosed, it crucially increases the mortality worldwide. This study aimed to identify risk factors and establish a predictive model for diagnosis of venous thrombosis clinical by routine blood tests and endoscopic characteristics.
Methods: Patients from Gansu Provincial Hospital from October 2019 to December 2023 were enrolled.
Discov Oncol
January 2025
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China.
Aim: To construct a predictive model based on the LODDS stage established for patients with late-onset colon adenocarcinoma to enhance survival stratification.
Methods: Late-onset colon adenocarcinoma data were obtained from the public database. After determining the optimal LODDS truncation value for the training set via X-tile software, we created a new staging system by integrating the T stage and M stage.
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