ABSTRACT
Background Breast cancer (BC) is a global public health issue, contributing to a significant death toll among women. Breast cancer is the most common type among Saudi women, accounting for over a quarter of all new cancer cases. The current approaches for detecting BC include mammography, clinical breast exams, and breast self-examination (BSE). Early diagnosis of BC is crucial for reducing mortality and morbidity. This study aims to investigate attitudes and behaviors regarding early screening and self-examination of breast cancer in Saudi Arabia. Materials and method This cross-sectional study was conducted over eight months. The sample size calculation with a 95% confidence interval and 0.05 precision rate is 600 of the total targeted group. The study included Saudi females aged 30 and above. Data were collected via an online questionnaire. The questionnaire evaluated various aspects, including information regarding sociodemographics, barriers, and attitudes toward breast cancer screening. Results The majority of participants were aged 41-50 (40.7%) and married (76.2%). Over a third (31.9%) had been diagnosed with benign breast tumors, with MRI being the most common examination method (39.2%). Regarding screening practices, 55.7% had been screened previously, with a high intention for future screening (76.8%). Attitudes toward screening were positive, with 83.4% willing to undergo testing if free, painless, and conducted by a female provider. Barriers to screening included fear of examination (30.2%) and shame about exposing the body (25.6%). Conclusion The study provides valuable insights into the demographic characteristics, prevalence of benign breast tumors, screening practices, and attitudes toward breast cancer screening among Saudi women aged 30 and above. Factors such as age, marital status, income, occupation, and geographical residency influence screening behavior and intentions. Efforts to promote awareness, reduce barriers, and improve access to screening services are essential for enhancing breast cancer detection and prevention within this population.
ABSTRACT
PURPOSE: To investigate the relationship between urinary stone type and the type of crystals in the urine. PATIENTS AND METHODS: This retrospective study involved 485 patients with urinary stones treated at King Saud University Medical City from May 2015 to June 2017. Clinical data were obtained from medical records. Different statistical analysis methods were applied, including basic contingency analysis, analysis of variance, logistic regression, discriminant analysis, partition modeling, and neural network evaluations. RESULTS: Of 485 patients, 47 had crystals detected by urinalysis. The most common type of crystal was calcium oxalate (n = 31), which had the highest association with calcium oxalate stones. Uric acid crystals (n = 8) were associated with uric acid stones. The neural network model used for determining the sensitivity and specificity showed an R-square value of 0.88, with an area under the curve of 0.94 for calcium oxalate, 0.94 for carbonate apatite, and 1.0 for uric acid. CONCLUSION: The predictive algorithm developed in the present study may be used with a patient's clinical parameters to predict the stone type. This approach predicts the stone types associated with certain patient characteristics with a high sensitivity and specificity, indicating that the models may be a valuable clinical tool in the diagnosis, management, and monitoring of stone diseases.
ABSTRACT
OBJECTIVES: Urinary tract stones are a common public health problem worldwide. In addition, identifying the composition of stones is important for the further metabolic evaluation of patients. We conducted this study to further correlate the relationship between body mass index (BMI) and different compositions of urinary tract stones. MATERIALS AND METHODS: A retrospective study of 433 patients who underwent urinary tract stone analysis via Fourier-transform infrared spectroscopy at King Khalid University Hospital in Riyadh from May 2015 to June 2017 was performed. Their BMI at the time of stone analysis was recorded. RESULTS: A total of 433 stones were analyzed by the statistical data analysis software. The BMI was classified according to the WHO classification. We divided our patients into seven age groups. Most patients were between the age group of 35 and 44 years and were overweight. The incidence of calcium oxalate, carbonate apatite, and uric acid stones was higher in patients with a BMI above thirty than in patients with a lower BMI. However, cystine stones were more common in normal-weight patients. CONCLUSIONS: In this study, we found that the incidence of certain types of stones, such as calcium oxalate, cystine, and uric acid stones, in Saudi Arabia can be predicted by BMI measurement.
