Results 31 to 40 of about 388,843 (271)

Epidemiological and Clinical Data in Low and Intermediate Risk Neuroblastoma: A Single Institution Experience and Survival Outcomes in Jerusalem

Asian Pacific Journal of Cancer Care, 2020
Objective: The aim of this study is to evaluate survival outcomes in neuroblastoma patients referred to Augusta Victoria hospital, Jerusalem between 2009 and 2018. Methods: This is a retrospective study of clinical and epidemiological data evaluating 34
Ala H Sbeih, Khadra Salami, Fortunato Morabito, Hani Saleh   +3 more
doaj   +1 more source

EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, Featuring Prognostic Stratification Boosting [PDF]

arXiv, 2021
Histopathology-based survival modelling has two major hurdles. Firstly, a well-performing survival model has minimal clinical application if it does not contribute to the stratification of a cancer patient cohort into different risk groups, preferably driven by histologic morphologies.
arxiv  

KRAS and GNAS mutations in cell‐free DNA and in circulating epithelial cells in patients with intraductal papillary mucinous neoplasms—an observational pilot study

Molecular Oncology, EarlyView.
This study demonstrates that KRAS and GNAS mutations are more prevalent in patients with resected intraductal papillary mucinous neoplasms (IPMN) compared to those under clinical surveillance. GNAS mutations significantly differ between the two patient cohorts, indicating that their absence may serve as a potential biomarker to support conservative ...
Christine Nitschke, Marie Tölle, Philipp Walter, Kira Meißner, Mara Goetz, Jolanthe Kropidlowski, Andreas W. Berger, Jakob R. Izbicki, Felix Nickel, Thilo Hackert, Klaus Pantel, Harriet Wikman, Faik G. Uzunoglu   +12 more
wiley   +1 more source

A retrospective observational study to evaluate the reliability of staging and risk stratification of adolescent and adult patients with Hodgkin's lymphoma registered at the lymphoma clinic of a tertiary cancer center in Western India

Cancer Research, Statistics, and Treatment, 2023
Background: The treatment for Hodgkin's lymphoma is based on risk stratification of the disease, which is determined by staging, clinical, and laboratory parameters.
Ajay Kumar Singh, Thomas Eipe, Manju Sengar, Seena Porathur, Yogesh Gawale, Archi Agrawal, Siddhartha Laskar, Lingaraj Nayak, Neha Sharma, Hasmukh Jain   +9 more
doaj   +1 more source

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation [PDF]

arXiv, 2022
Appropriate antithrombotic therapy for patients with atrial fibrillation (AF) requires assessment of ischemic stroke and bleeding risks. However, risk stratification schemas such as CHA2DS2-VASc and HAS-BLED have modest predictive capacity for patients with AF.
arxiv  

An application of principal stratification to control for institutionalization at follow-up in studies of substance abuse treatment programs [PDF]

Annals of Applied Statistics 2008, Vol. 2, No. 3, 1034-1055, 2008
Participants in longitudinal studies on the effects of drug treatment and criminal justice system interventions are at high risk for institutionalization (e.g., spending time in an environment where their freedom to use drugs, commit crimes, or engage in risky behavior may be circumscribed). Methods used for estimating treatment effects in the presence
arxiv   +1 more source

On‐treatment dynamics of circulating extracellular vesicles in the first‐line setting of patients with advanced non‐small cell lung cancer: the LEXOVE prospective study

Molecular Oncology, EarlyView.
The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina, Viviana Bazan, Nadia Barraco, Simona Taverna, Mauro Manno, Samuele Raccosta, Anna Paola Carreca, Marco Bono, Tancredi Didier Bazan Russo, Francesco Pepe, Pasquale Pisapia, Lorena Incorvaia, Giuseppe Badalamenti, Giancarlo Troncone, Umberto Malapelle, Daniele Santini, Antonio Russo, Antonio Galvano   +17 more
wiley   +1 more source

Circulating tumor DNA (ctDNA) trajectories predict survival in trifluridine/tipiracil‐treated metastatic colorectal cancer patients

Molecular Oncology, EarlyView.
The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld, Stefan Kühberger, Ricarda Graf, Christine Beichler, Markus Braun, Nadia Dandachi, Ellen Heitzer, Gerald W. Prager   +7 more
wiley   +1 more source

Validation of scoring system for preoperative stratification of intra-operative risks of complications during cataract surgery: Indian multi-centric study

Indian Journal of Ophthalmology, 2009
Aim: To validate a system that uniformly and objectively assesses the risk of complications of cataract surgery performed with phacoemulsification technique in individual patients preoperatively. Materials and Methods: Outcome analysis of patient data
Agrawal Vinay, Upadhyay Jinish, Indian Cataract Risk Stratification Study group   +2 more
doaj  

Interpretation of the Area Under the ROC Curve for Risk Prediction Models [PDF]

arXiv, 2021
The area under the curve (AUC) of the receiver operating characteristics curve (ROC) evaluates the separation between patients and nonpatients or discrimination. For risk prediction models these risk distributions can be derived from the population risk distribution so are not independent as in diagnosis. A ROC curve AUC formula based on the underlying
arxiv