Publications by authors named "D T Petrova"
Introduction And Aims: Women residing in lower socioeconomic status (SES) areas have lower breast cancer survival but it is not clear how differences in the quality of care received contribute to these disparities. We compared adherence to clinical practice guidelines (CPG) for the diagnosis and treatment of breast cancer and subsequent breast cancer survival between women residing in lower versus higher SES areas.
Methods: We conducted a multicentre population-based study of all new cases of invasive breast cancer in women diagnosed 2010-2014 in six Spanish provinces with population-based cancer registries (n=3206).
Green algae of the genus have attracted the attention of scientists due to their rich biochemical composition and potential for application in phytomedicine. The present study investigated the influence of light on the bioactive capacity of extracts from the Bulgarian strain of the green microalgae sp. BGV.
View Article and Find Full Text PDFObjective: People's beliefs about cancer can affect the actions they take to prevent and detect the disease. We investigated socio-economic inequalities in beliefs about cancer and its causes in the general population.
Methods: We analyzed data from the representative probabilistic Spanish Oncobarometer survey (N = 4769, 2020) and the non-probabilistic weight-corrected Spanish Cancer Awareness Survey (N = 1029, 2022).
Background: Cutaneous malignant melanoma (CMM) represents a global public health problem. Epidemiological studies about CMM trends tend to focus on single indicators or lack information about tumor characteristics that can help gain a more thorough understanding of CMM epidemiology.
Objectives: To fill this gap, we studied CMM trends in incidence, mortality, and survival over three decades and considering sex, age, and tumor characteristics.
Article Synopsis
- - The study examines the potential role of lipids as biomarkers for diagnosing anxiety and depression, which are major contributors to mental health issues and disability, despite the lack of existing biochemical tests for these conditions.
- - Researchers analyzed blood plasma lipid levels in a group of 604 urban individuals and compared them to 32 patients with clinical depression, finding significant correlations between lipid levels and the severity of depressive symptoms.
- - The findings suggest that lipid alterations seen in clinically depressed patients can also be observed in the general population, leading to the creation of a predictive model with high accuracy for identifying individuals with severe depressive symptoms.