Gallstone disease (GD) is a common gastrointestinal disease. Although traditional diagnostic techniques, such as ultrasonography, CT, and MRI, detect gallstones, they have some limitations, including high cost and potential inaccuracies in certain populations. This study proposes a machine learning-based prediction model for gallstone disease using bioimpedance and laboratory data. A dataset of 319 samples, comprising161 gallstone patients and 158 healthy controls, was curated. The dataset comprised 38 attributes of the participants, including age, weight, height, blood test results, and bioimpedance data, and it contributed to the literature on gallstones as a new dataset. State-of-the-art machine learning techniques were performed on the dataset to detect gallstones. The experimental results showed that vitamin D, C-reactive protein (CRP) level, total body water, and lean mass are crucial features, and the gradient boosting technique achieved the highest accuracy (85.42%) in predicting gallstones. The proposed technique offers a viable alternative to conventional imaging techniques for early prediction of gallstone disease.

Aim: To evaluate the immunogenicity and safety of the CoronaVac vaccine in patients with cancer receiving active systemic therapy. Methods: This multicenter, prospective, observational study was co... Tweetable abstract Immunogenicity developed with CoronaVac in 25 (59.5%) of 42 patients who received at least one cytotoxic drug and in all patients (n = 5) who received monoclonal antibody or immu...

The aim of this study was to investigate the relationship between health literacy (HL) and quality of life (QoL) in type 1 diabetes mellitus (DM) patients. This study was conducted between February 2020 and May 2020 at the University of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, in Turkey. A total of 155 patients with type 1 DM between the ages of 18-65 were included in the study. QoL was evaluated with the Audit of Diabetes Dependent QoL questionnaire and HL was evaluated with the Newest Vital Sign (NVS) questionnaire and obtained results were compared. The weighted impact score for the overall QoL scale was higher for patients who did not have complications than those with complications (p=0.004). Retinopathy and nephropathy were higher in the group with low HL (p=<0.001; p=0.032; p=0.012, respectively). The weighted impact score for the overall QoL scale was lower in married individuals (p=0.040) and it was higher for high school and above education levels than those with lower education levels (p=0.004). The sex life weighted impact score was higher in the group with DM less than 10 years (p=0.045). Patients with high HL status are more adaptable to their physician's recommendations, less frequent complications will occur in these patients and the QoL of the patients will be better in the absence of complications.

In our study, we determined the changes in the oxidative stress (OxS) biomarkers, thiol-disulfide (TD) homeostasis and ischemia-modified albumin (IMA) levels, in patients diagnosed with ovarian carcinoma before and after chemotherapy. We will examine the indirect effects of chemotherapy on OxS and antioxidant capacity by measuring changes in these blood biomarkers and compare the results with those of the healthy control group. This case–control study, which was conducted in a single-center, prospective design, included 42 patients diagnosed with ovarian cancer and 51 healthy volunteers. Venous blood samples were taken from all participants after 8 h of fasting, their serum was separated, and the serum total thiol, native thiol, disulfide, and IMA values were measured. In the comparison of the blood samples taken before the chemotherapy treatment of the patient group with the healthy control group, the native thiol (p < 0.001), total thiol (p < 0.001), and native thiol/total thiol (p < 0.001) values were found to be statistically significantly lower, and the disulfide (p = 0.001), disulfide/native (p < 0.001), and disulfide/total thiol (p < 0.001) levels were found to be statistically significantly greater. In the patient group diagnosed with ovarian cancer, a statistically significant difference was detected between the measurements of cancer antigen-125 (CA-125) (p < 0.001), native thiol (p = 0.019), and total thiol (p = 0.025) values at the 0th month before chemotherapy treatment and the third month after chemotherapy treatment. In the group that received adjuvant chemotherapy after the operation, the native thiol (p = 0.035), total thiol (p = 0.043), disulfide/native thiol (p = 0.035), disulfide total thiol (p = 0.035), native thiol/total thiol (p = 0.035) and IMA (p = 0.026) values were statistically significantly different between the diagnosis and third-month values. Our study suggests that TD homeostasis may be an important guide in terms of disease progression, complications during chemotherapy treatment, appropriate dose reductions, and modifications in chemotherapy depending on the toxicities experienced and the goals of the treatment.

Oktar O, et al. J Gynecol Oncol. 2023 Dec;35:e39. https://doi.org/10.3802/jgo.2024.35.e39