Publications by authors named "M Belen Salas"
Article Synopsis
- - Regulators and healthcare providers are exploring observational studies using real-world data (RWD) to enhance decision-making in oncology, aiming to complement traditional clinical trial evidence while addressing potential biases.
- - The clone-censor-weight (CCW) method is introduced to help cancer researchers understand and implement a structured approach to mitigate immortal time and other biases in RWD studies, using visuals and relevant examples for clarity.
- - This method effectively manages complex patient data by creating duplicate patient populations, applying treatment strategies, and adjusting for biases caused by artificial censoring, making RWD studies more reliable and comparable to randomized trials.
Lung cancer (LC) is the leading cause of cancer death worldwide. LC can be classified into small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC), with the last subtype accounting for approximately 85% of all diagnosed lung cancer cases. Despite the existence of different types of treatment for this disease, the development of resistance to therapies and tumor recurrence in patients have maintained the need to find new therapeutic options to combat this pathology, where natural products stand out as an attractive source for this search.
View Article and Find Full Text PDFBetatectiviruses are prophages consisting of linear extrachromosomal genomes without obvious plasmid modules. It remains unclear how betatectiviruses are maintained in low-copy numbers in host cells and how they are vertically transmitted. Phage GIL01 is a model betatectivirus that infects the mosquito pathogen Bacillus thuringiensis serovar israelensis.
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