Pre-IMRT MR image radiomic features could predict rectal toxicity in prostate cancer patients. Radiotherapy associated complications may be assessed by studying the changes in the MR radiomic features.

Osteosarcopenia is an increasingly recognized geriatric syndrome with a considerable prevalence which increases morbidity and mortality. Although osteosarcopenia is a result of age-related deterioration in muscle and bone, there are many risk factors that provoking osteosarcopenia. These risk factors should be considered by the clinicians to treat osteosarcopenia. We assessed the link between osteosarcopenia and conventional risk factors of cardiovascular diseases. This study was a crosssectional study that has been conducted within the framework of Bushehr Elderly Health (BEH) program stage II in which participants aged ≥ 60 years were included. Osteopenia/osteoporosis was defined as a t-score ≤ − 1.0 standard deviation below the mean values of a young healthy adult. We defined sarcopenia as reduced skeletal muscle mass plus low muscle strength and/or low physical performance. Osteosarcopenia was considered as the presence of both osteopenia/osteoporosis and sarcopenia. We estimated the age-standardized prevalence of osteosarcopenia for men and women, separately. Using modified Poisson regression analysis, adjusted prevalence ratio (PR) with 95% CI was used to show the measure of associations in the final model. Among 2353 participants, 1205 (51.2%) were women. Age-standardized prevalence of osteosarcopenia was 33.8 (95% CI 31.0-36.5) in men and 33.9 (30.9-36.8) in women. In both sexes, the inverse association was detected with body mass index and having osteosarcopenia (PR 0.84, 95% CI 0.81-0.88 in men and 0.77, 95% CI 0.74-0.80 in women). In both sexes, high-fat mass was positively associated with osteosarcopenia [PR 1.46 (95% CI 1.11-1.92) in men, and 2.25 (95% CI 1.71-2.95) in women]. Physical activity had a significant inverse association in men (PR = 0.64, 95% CI 0.46, 0.88), but not in women. Diabetes was also showed a direct association with osteosarcopenia in men (PR 1.33, 95% CI 1.04-1.69). No associations were detected between the lipid profiles and osteosarcopenia. Results demonstrated a high prevalence of osteosarcopenia in both sexes suggesting a high disease burden in a rapidly aging country. Lifestyle and socioeconomic factors, as well as chronic diseases, were significantly associated with osteosarcopenia.

Following cervical and uterine cancer, ovarian cancer (OC) has the third rank in gynecologic cancers. It often remains non-diagnosed until it spreads throughout the pelvis and abdomen. Identification of the most effective risk factors can help take prevention measures concerning OC. Therefore, the presented review aims to summarize the available studies on OC risk factors. A comprehensive systematic literature search was performed to identify all published systematic reviews and meta-analysis on associated factors with ovarian cancer. Web of Science, Cochrane Library databases, and Google Scholar were searched up to 17th January 2020. This study was performed according to Smith et al. methodology for conducting a systematic review of systematic reviews. Twenty-eight thousand sixty-two papers were initially retrieved from the electronic databases, among which 20,104 studies were screened. Two hundred seventy-seven articles met our inclusion criteria, 226 of which included in the meta-analysis. Most commonly reported genetic factors were MTHFR C677T (OR=1.077; 95 % CI (1.032, 1.124); P-value<0.001), BSML rs1544410 (OR=1.078; 95 %CI (1.024, 1.153); P-value=0.004), and Fokl rs2228570 (OR=1.123; 95 % CI (1.089, 1.157); P-value<0.001), which were significantly associated with increasing risk of ovarian cancer. Among the other factors, coffee intake (OR=1.106; 95 % CI (1.009, 1.211); P-value=0.030), hormone therapy (RR=1.057; 95 % CI (1.030, 1.400); P-value<0.001), hysterectomy (OR=0.863; 95 % CI (0.745, 0.999); P-value=0.049), and breast feeding (OR=0.719, 95 % CI (0.679, 0.762) and P-value<0.001) were mostly reported in studies. Among nutritional factors, coffee, egg, and fat intake significantly increase the risk of ovarian cancer. Estrogen, estrogen-progesterone, and overall hormone therapies also are related to the higher incidence of ovarian cancer. Some diseases, such as diabetes, endometriosis, and polycystic ovarian syndrome, as well as several genetic polymorphisms, cause a significant increase in ovarian cancer occurrence. Moreover, other factors, for instance, obesity, overweight, smoking, and perineal talc use, significantly increase the risk of ovarian cancer.

RLS has an independent and significant role in sleep quality and QoL in the patients with diabetes. Neuropathy with RLS does not confer any additive burden on QoL and sleep quality of this population of patients with diabetes.

The misinterpretation and misuse of p-value have been increasing for decades. In March 2016, the American Statistical Association released a statement to warn about the use and interpretation of p-value. In this study, we provided a definition and discussion of pvalue and emphasized the importance of its accurate interpretation.