Publications by authors named "Leider Arelis Campos Pino"
Article Synopsis
- The study aimed to assess how accurately the Gail model predicts breast cancer risk in women diagnosed with the disease at a hospital in Venezuela from 2004 to 2014, focusing on age differences.
- Data were collected from 830 patient records, revealing that the average age of diagnosis was 46 years, with only 41% of patients identified as high-risk by the Gail model, indicating its low precision.
- Significant predictors of a positive Gail score included early menarche, a family history of breast cancer, previous biopsies, and age at first birth, with variations observed between women over and under 40 years old.
Introduction: There is a paucity of data on breast cancer (BC) patients' gender preferences when it comes to choosing their surgeon, unlike in other specialties like gynaecology and obstetrics, where women tend to prefer a female physician. The aim of this trial was to examine if there are any gender preferences in women with BC at the time of choosing their breast surgeon.
Material And Methods: A cross-sectional, observational and descriptive study with 528 patients, older than 18 years, at the Breast Department 'Servicio Oncológico Hospitalario del Instituto Venezolano de los Seguros Sociales', from January to June 2022.