Publications by authors named "Marta Diaz Ondina"
As the relationship between vitamin D and various diseases or health conditions has become known, interest in the contribution of vitamin D to overall health-related quality of life (QoL) has increased. We examined the relationship between vitamin D status and QoL in 273 participants aged 65 years and older. Serum levels of total calcium, phosphorus, intact parathyroid hormone, albumin, and 25-hydroxyvitaminD3 were analyzed.
View Article and Find Full Text PDFLow invasive tests with high sensitivity for colorectal cancer and advanced precancerous lesions will increase adherence rates, and improve clinical outcomes. We have performed an ultra-performance liquid chromatography/time-of-flight mass spectrometry (UPLC-(TOF) MS)-based metabolomics study to identify faecal biomarkers for the detection of patients with advanced neoplasia. A cohort of 80 patients with advanced neoplasia (40 advanced adenomas and 40 colorectal cancers) and 49 healthy subjects were analysed in the study.
View Article and Find Full Text PDFArticle Synopsis
- Researchers created the FAST Score, a prediction model for colorectal cancer (CRC) that uses simple factors like fecal haemoglobin concentration, age, and sex to enhance diagnosis in symptomatic patients.
- The model was validated through extensive studies involving over 5,500 patients, showing strong diagnostic accuracy with an AUC of 0.88 in the initial group and 0.91 in the validation group.
- The FAST Score effectively categorizes patients into high, intermediate, and low-risk groups for CRC, making it a practical tool for clinicians in assessing symptoms and prioritizing colonoscopy referrals.
Article Synopsis
- This study developed and validated a colorectal cancer (CRC) prediction model called COLONPREDICT, using clinical and laboratory data from patients with gastrointestinal symptoms referred for colonoscopy.
- The model included 11 key variables, including age, gender, and specific test results, achieving a diagnostic accuracy with an area under the curve (AUC) of 0.92.
- COLONPREDICT outperformed the existing NICE referral criteria, which had a significantly lower AUC of 0.59, indicating it may be a better tool for CRC detection.