Statins represent the first-line therapy for cholesterol management. However, for patients prone to statin side effects, unable to tolerate higher doses, or requiring additional low-density lipoprotein cholesterol (LDL-C) reduction, ezetimibe alone or in combination with statins is recommended. This meta-analysis aimed to evaluate the safety and efficacy of combining lowor moderate-intensity statins with ezetimibe compared to high-intensity statin monotherapy, yielding reliable evidence to guide clinical decision-making and personalize treatment strategies. PubMed, Embase, and Scopus were systematically searched from inception until May 2023. All randomized controlled trials (RCTs) comparing a high-intensity statin with a low/ moderate-intensity statin with ezetimibe were included. The outcomes of interest comprised changes in concentrations of lipids—LDL-C, high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TGs)—and apolipoprotein (Apo) A1, Apo B, and high-sensitivity C-reactive protein (hs-CRP), along with major adverse cardiovascular events (MACE). All data were analyzed using Review Manager version 5.4. p-values less than 0.05 were considered to indicate statistical significance. Overall, 20 RCTs, with 5,412 participants, were included. A low/moderate-intensity statin combined with ezetimibe yielded a significantly greater reduction in LDL-C levels than high-intensity statin monotherapy (mean difference [MD], −6.59; 95% confidence interval [CI], −10.95, −2.24; p=0.003; I 2 =84%). No significant differences were observed between combination and high-intensity statin monotherapy regarding TC, TG, or HDL-C levels. However, hs-CRP levels were significantly higher with combination therapy (MD, 0.32; 95% CI, 0.01, 0.64; p=0.04; I 2 =0%). Combination therapy involving a low/moderate-intensity statin with ezetimibe was significantly associated with lower LDL-C levels than high-intensity statin monotherapy. No significant differences were observed for TC, TGs, HDL-C, alanine transaminase, or MACE. However, creatine phosphokinase levels significantly increased with monotherapy.

Background: Advancements in surgery, chemotherapy, and radiotherapy have improved survivalfor brain tumor patients, increasing the risk of second primary tumors (SPTs) among long-term survivors. This study examines the types and risks of SPTs in brain tumor patients presenting at a tertiary care hospital. Methods: This single-center, retrospective study explored occurrences of SPTs following prima-ry brain tumors and occurrences of brain tumors as SPTs following primary extra neural tumors. A total of 41 patients were included and analyzed presenting with histologically confirmed SPTs between 1st January 2000 and 31st December 2020. Results: The study included 41 patients with SPTs, primarily female (65.9%). Of these, 20 pa-tients (48.7%) developed SPTs after a primary brain tumor, while 21 patients (51.2%) developed brain tumors as SPTs after extra-neural tumors. Among patients who developed SPTs after brain tumors (n=20), meningioma (n=8, 40.0%) and pituitary adenoma (n=6, 30.0%) were the most prevalent first primary tumors (FPTs) while breast tumors predominated as SPTs (n=4, 20.0%). Survival analysis indicated younger mean age (44.5 years) for patients marked alive, compared to those marked deceased (57.0 years) and those with unknown outcomes (63.0 years). Conclusion Based on this retrospective analysis, the median age at diagnosis was 44.5 years,with a considerable number of patients (36.6%) having uncertain outcomes at follow-up due to incomplete records. These findings highlight the need for improved follow-up data management to better assess long-term survival in patients with SPTs following brain tumors.

Background: Cognitive decline is commonly seen in brain tumor (BT) patients and is associatedwith a worsened prognosis. Cognitive rehabilitation (CR) for cancer-related cognitive dysfunction has been widely studied for non-central nervous system cancers; however, recent emerging research has commenced documenting CR strategies for BT patients and survivors. Our objective was to review the current literature on various CR modalities in patients and BT survivors. Methods: The review was conducted in accordance with the PRISMA guidelines. The studieson CR were searched across 3 databases using a predefined search strategy. After removing duplicates, performing initial and full-text screenings, and applying inclusion criteria, relevant articles were selected. The demographic details, CR technique, cognitive tasks/tests administered, cognitive functions assessed, follow-up time, and outcomes of the intervention were assessed. Results: A total of 15 studies were included in the review. Neuropsychologist-guided trainingsessions to improve memory, attention, and executive functioning are effective in improving the mentioned domains. Younger and more educated patients benefited the most. Holistic mnemonic training and neurofeedback were not shown to affect overall cognitive functioning. Computer-based training programs showed improvements in executive functions of pediatric BT survivors, however, feasibility studies showed conflicting results. Aerobic exercises improved executive functions and decreased symptoms of the tumor. Both yoga and combined aerobic and strength training improved overall cognitive functioning. Active video gaming may improve motor and process skills; however, no effect was seen on cognitive functioning. Conclusion Neuropsychologic training, computer-based programs, and physical exercise havebeen found effective in improving or preventing decline in cognitive functions of BT patients. Given the limited trials and methodological variations, a standardized CR program cannot be established at present. Ongoing trials are expected to provide valuable data in the near future.

Statins represent the first-line therapy for cholesterol management. However, for patients prone to statin side effects, unable to tolerate higher doses, or requiring additional low-density lipoprotein cholesterol (LDL-C) reduction, ezetimibe alone or in combination with statins is recommended. This meta-analysis aimed to evaluate the safety and efficacy of combining lowor moderate-intensity statins with ezetimibe compared to high-intensity statin monotherapy, yielding reliable evidence to guide clinical decision-making and personalize treatment strategies. PubMed, Embase, and Scopus were systematically searched from inception until May 2023. All randomized controlled trials (RCTs) comparing a high-intensity statin with a low/ moderate-intensity statin with ezetimibe were included. The outcomes of interest comprised changes in concentrations of lipids—LDL-C, high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglycerides (TGs)—and apolipoprotein (Apo) A1, Apo B, and high-sensitivity C-reactive protein (hs-CRP), along with major adverse cardiovascular events (MACE). All data were analyzed using Review Manager version 5.4. p-values less than 0.05 were considered to indicate statistical significance. Overall, 20 RCTs, with 5,412 participants, were included. A low/moderate-intensity statin combined with ezetimibe yielded a significantly greater reduction in LDL-C levels than high-intensity statin monotherapy (mean difference [MD], −6.59; 95% confidence interval [CI], −10.95, −2.24; p=0.003; I 2 =84%). No significant differences were observed between combination and high-intensity statin monotherapy regarding TC, TG, or HDL-C levels. However, hs-CRP levels were significantly higher with combination therapy (MD, 0.32; 95% CI, 0.01, 0.64; p=0.04; I 2 =0%). Combination therapy involving a low/moderate-intensity statin with ezetimibe was significantly associated with lower LDL-C levels than high-intensity statin monotherapy. No significant differences were observed for TC, TGs, HDL-C, alanine transaminase, or MACE. However, creatine phosphokinase levels significantly increased with monotherapy.

Microangiopathic hemolytic anemia (MAHA) is a rare subtype of hemolytic anemia characterized by elevated hemolytic markers and red blood cell destruction. Though uncommon, MAHA can occur as a complication of acute pancreatitis because of the associated inflammatory response. Patients with MAHA secondary to pancreatitis show favorable outcomes when treated with plasma exchange.This paper presents the case of a patient diagnosed with acute pancreatitis-induced hemolytic anemia and thrombocytopenia, who was managed successfully with plasma exchange, steroids, and rituximab. Clinicians should maintain a high index of suspicion in patients with acute pancreatitis who present with anemia, thrombocytopenia, and schistocytes on peripheral smears, even in the absence of end-organ injuries and with normal ADAMTS13 activity. The early initiation of plasmapheresis can be lifesaving. The timely introduction of rituximab in cases where plasma exchange and steroids are insufficient, despite the ADAMTS13 activity status, may lead to better outcomes.

Purpose: Breast cancer is one of the most common cancers globally, with an increasing incidence rate. It is a heterogeneous disease, and early metastasis remains a challenge. Tumor budding, defined as single tumor cells or small clusters at the invasive front, has been suggested as a prognostic marker in various cancers, including breast cancer. This study aims to evaluate tumor budding in invasive breast carcinoma using the International Tumor Budding Consensus Conference (ITBCC) scoring system and explore its association with pathological characteristics and prognosis. Methods: A retrospective study was conducted on 100 mastectomy specimens of histopathologically confirmed invasive breast carcinoma, excluding cases that underwent chemotherapy or radiotherapy. Tumor budding was classified as low, intermediate, or high based on the ITBCC scoring method, and associations with clinicopathological features were analyzed using appropriate statistical tests. Results: Tumor budding was classified as high in 52% of cases. A significant association was found between high tumor budding and higher tumor grade (P<0.001), negative estrogen receptor and progesterone receptor status (P<0.001), positive HER2neu status (P=0.003), and high Ki-67 levels (P<0.001). High tumor budding was also linked to higher T stage, and dermal lymphovascular invasion (P=0.001). Our findings support previous studies showing that high tumor budding is associated with poor prognostic factors such as higher tumor grade, negative hormone receptor status, and higher T stage. Conclusion Tumor budding is a potential prognostic marker in breast cancer, associated with more aggressive tumor characteristics.

Purpose: This study was performed to assess the performance and accuracy of artificial intelligence (AI) in the detection and diagnosis of maxillary sinus pathologies using computed tomography (CT)/cone-beam computed tomography (CBCT) imaging. Materials and Methods: A comprehensive literature search was conducted across 4 databases: Google Scholar, BioMed Central (BMC), ProQuest, and PubMed. Combinations of keywords such as “DCNN,” “deep learning,” “convolutional neural network,” “machine learning,” “predictive modeling,” and “data mining” were used to identify relevant articles. The study included articles that were published within the last 5 years, written in English, available in full text, and focused on diagnostic accuracy. Results: Of an initial 530 records, 12 studies with a total of 3,349 patients (7,358 images) were included. All articles employed deep learning methods. The most commonly tested pathologies were maxillary rhinosinusitis and maxillary sinusitis, while the most frequently used AI models were convolutional neural network architectures, including ResNet and DenseNet, YOLO, and U-Net. DenseNet and ResNet architectures have demonstrated superior precision in detecting maxillary sinus pathologies due to their capacity to handle deeper networks without overfitting. The performance in detecting maxillary sinus pathology varied, with an accuracy ranging from 85% to 97%, a sensitivityof 87% to 100%, a specificity of 87.2% to 99.7%, and an area under the curve of 0.80 to 0.91. Conclusion AI with various architectures has been used to detect maxillary sinus abnormalities on CT/CBCT images, achieving near-perfect results. However, further improvements are needed to increase accuracy and consistency.