Publications by authors named "K Tanner"
Article Synopsis
- The study evaluates the fracture strength of 1 mm-thick CAD/CAM occlusal veneers made from lithium disilicate (LD) and resin nanoceramics (RNC) to assess their viability in dental restoration.
- Using a novel testing protocol, the RNC group demonstrated a significantly higher load-bearing capacity compared to the LD group, indicating better durability under stress.
- Both materials experienced similar crack patterns during testing, emphasizing the importance of understanding mechanical properties for ensuring the longevity of dental restorations.
Article Synopsis
- Antiplatelet therapy, particularly with P2Y receptor inhibitors alongside aspirin, is essential for treating coronary artery disease, and different medication options can help tailor patient care.
- A study investigated the effects of a specific genetic mutation (G143E in CES1) on the effectiveness of clopidogrel and ticagrelor in inhibiting platelet aggregation in patients.
- Results showed that the G143E mutation significantly affected platelet response to clopidogrel, but not to ticagrelor, indicating ticagrelor may provide more consistent treatment for patients with clopidogrel response-altering genetics.
Article Synopsis
- Patients with brain tumors want to help doctors understand their illness better by participating in tests that involve taking samples of their tumor tissue.
- To improve treatments, everyone including patients, researchers, and regulatory agencies need to work together and use consistent methods when taking these samples.
- Even though new tests using blood samples show some promise, they can't replace the need for the usual tissue tests just yet, and it's important to clearly explain the risks and benefits of these procedures to patients.
Objectives: We describe the steps for implementing a dynamic updating pipeline for clinical prediction models and illustrate the proposed methods in an application of 5-year survival prediction in cystic fibrosis.
Study Design And Setting: Dynamic model updating refers to the process of repeated updating of a clinical prediction model with new information to counter performance degradation. We describe 2 types of updating pipeline: "proactive updating" where candidate model updates are tested any time new data are available, and "reactive updating" where updates are only made when performance of the current model declines or the model structure changes.