Publications by authors named "C Vidales"
Article Synopsis
- The study explores mental health stigma from an interdependent perspective, focusing on how seeking help could negatively impact one's family reputation, as opposed to the independent perspective of personal stigma.
- Researchers developed the Interdependent Stigma of Seeking Help (ISSH) scale, validated it across eight countries, and found it to have good psychometric properties for research purposes.
- Results showed varying levels of ISSH across countries, with Hong Kong and Taiwan reporting higher stigma levels, suggesting that the scale could aid in understanding stigma's complexity and inform culturally relevant mental health interventions.
High-dose radiotherapy and risk-adapted androgen deprivation in localised prostate cancer (DART 01/05): 10-year results of a phase 3 randomised, controlled trial.
Lancet Oncol
May 2022
Background: The optimal duration of androgen deprivation combined with high-dose radiotherapy in prostate cancer remains controversial. The DART 01/05 trial was designed to determine whether long-term androgen deprivation is superior to short-term androgen deprivation when combined with high-dose radiotherapy. The 5-year results showed that 2 years of adjuvant androgen deprivation combined with high-dose radiotherapy significantly improved biochemical control, metastasis, and overall survival, especially in patients with high-risk disease.
View Article and Find Full Text PDFMeasurement Invariance of the Self-Stigma of Mental Illness Scale: A Cross-Cultural Study.
Int J Environ Res Public Health
February 2022
The current study assessed the measurement invariance of the Self-stigma of Mental Illness scale (SSOMI) across Chinese and US samples and assessed whether the SSOMI differentially relates to distress levels across Chinese and US participants. We included 487 participants in China and 550 in the US (mean age was 19.52 in China and 19.
View Article and Find Full Text PDFDevelopment of an Expert Knowledge-Based Genomic Variant Prioritisation Platform.
Stud Health Technol Inform
January 2022
Considering the growing interest towards next generation sequencing (NGS) and data analysis, and the substantial challenges associated to fully exploiting these technologies and data without the proper experience, an expert knowledge-based user-friendly analytical tool was developed to allow non-bioinformatics experts to process NGS genomic data, automatically prioritise genomic variants and make their own annotations. This tool was developed using a user-centred methodology, where an iterative process was followed until a useful product was developed. This tool allows the users to set-up the pre-processing pipeline, filter the obtained data, annotate it using external and local databases (DBs) and help on deciding which variants are more relevant for each study, taking advantage of its customised expert-based scoring system.
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