View clinical trials related to Survival Analysis.
Filter by:Even after the wide introduction of chemo/radiotherapy in the treatment algorithm, adequate surgery remains the cornerstone of gastric cancer treatment with curative intent. A proper D2 lymphadenectomy is associated with improved cancer specific survival as confirmed in Western countries by fifteen-year follow-up results of Dutch and Italian randomized trials. In clinical practice, the total number of harvested lymph nodes is often considered as a surrogate marker for adequate D2 lymphadenectomy; nonetheless, the number of retrieved nodes does not necessarily correlate with residual nodes, which intuitively could represent a more reliable marker of surgical adequacy. The availability of an efficient tool for evaluating the absence of residual nodes in the operative field at the end of node dissection could better correlate with survival outcomes. The goal of this multicentric observational prospective study is to test the reliability of a new score (PhotoNodes Score) created to rate the quality of the lymphadenectomy performed during minimally invasive gastrectomy for gastric cancer. The score is assigned by assessing the absence of residual nodes at the end of node dissection on a set of laparoscopic/robotic high quality intraoperative images collected from each patient undergoing a minimally invasive gastrectomy with D2 node dissection. Ideally, this tool could be a new indicator of the quality of D2 dissection and could assume a prognostic role in the treatment of gastric cancer.
This multicenter retrospectively observational cohort study was conducted on participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery in 11 medical centers in China from August 1, 2015, to June 31, 2018. Baseline clinicopathologic data and nutritional status assessments including Nutrition Risk Screening 2002 (NRS 2002) score and Patient-generated Subjective Global Assessment (PG-SGA) rating were collected. Variables will be screened using the least absolute shrinkage and selection operator (LASSO) regression model and Cox regression analysis. Internal and external validations will be performed via the receiver operating curve (ROC), the area under the curve (AUC), the concordance index (C-index), calibration plots, decision curve analysis (DCA), and Five folds cross-validation by 200 times.
Retrospective cohort of 10 cases of colonic adenocarcinoma of medullary type, operated between 2000 and 2020 at the University Hospital of Limoges. Collection of relevant data for this rare entity. Subgroup analysis in search of prognostic factors. Comparison of the data from our cohort with those from the literature.
Primary central nervous system lymphoma (PCNSL) is a rare extranodal non-hodgkin's lymphoma confined to the central nervous system. It accounts for about 4% of all intracranial tumors and 4% to 6% of all non-Hodgkin's lymphomas . Among them, the most common type is diffuse large B cell lymphoma (DLBCL), accounting for about 95% of all cases. High dose methotrexate (HD-MTX) based chemotherapy can improve the prognosis of patients, but only 30% to 40% of patients can achieve sustained remission, and the overall prognosis is very poor[4, 6]. Currently, the International Extranodal Lymphoma Study Group (IESLG) prognostic scoring system and the Memorial Sloan Kettering Cancer Center (MSKCC) prognostic index are widely used to evaluate the prognosis in patients with PCNSL. However, IESLG model has some limitations such as the relatively small number of patients and short follow-up period. MSKCC model may have an inherent selection bias because retrospective data were collected from a single large institution. Therefore, there is a urgent need to identify novel indicators for prognosis evaluation and risk stratification in PCNSL patients.
This is a prospective study addressing the challenge of predicting disease progression and/or recurrence in patients diagnosed with metastatic colorectal, pancreatobiliary, or esophagogastric cancer that are receiving anti-cancer therapy.
The genetic polymorphisms of the cytochrome P450 may influence on the metabolism of tamoxifen. The investigators want to - evaluate the frequency or incidence of the genetic polymorphisms of cytochrome P450 subfamilies(CYP2D6, CYP3A4/5 and CYP2C19) in breast cancer patients, and - analyze the association between the genetic polymorphisms of cytochrome P450 subfamilies and clinical outcomes in breast cancer patients treated by adjuvant tamoxifen therapy.