Background: The concept of flipped classrooms (FCs) is gaining attention in medical education as it aligns with the digital age’s demand for more interactive and accessible learning experiences. By shifting the delivery of instructional content outside of the classroom, an FC allows students to engage with materials at their own pace, thereby maximizing in-class time for discussions, problem-solving, and other active learning activities. Objective: This study aimed to conduct a comprehensive meta-analysis to appraise the comparative effectiveness of FC instruction in contrast to traditional pedagogical modalities, with a particular focus on postepidemic analyses within specific subfields of medical education. Methods: The PubMed, Web of Science, and Scopus databases were systematically searched for studies comparing academic outcomes between the FC and traditional learning approaches in medical education. The primary outcome measures were knowledge assessment and students’ satisfaction. The standardized mean difference (SMD) was used as a measure of the overall effect, and subgroup analysis was performed according to the study design (randomized controlled trial [RCT] vs observational). The Cochran Q test and Baujat plots were used to estimate heterogeneity, coupled with I2. Highly influential studies were identified; sensitivity analyses and metaregression were performed. Results: In total, 141 studies were included in the systematic review; 127 (90.1%) studies with 21,171 participants were included in the meta-analysis of students’ knowledge assessment, of which 37 (29.1%) were RCTs. FCs had significantly better outcomes than the traditional method in knowledge test scores in both observational studies and RCTs (SMD 0.90, 95% CI 0.59-1.20, P<.001 and SMD 0.93, 95% CI 0.65-1.22, P<.001, respectively). There was substantial heterogeneity among included studies (I2=95.2%, τ2=1.614; P<.001). The funnel plot showed high asymmetry with significant small study effects (P<.001). However, the effect estimate remained robust to the exclusion of highly influential studies in the sensitivity analysis. In total, 27 (21.3%) studies with a total of 5842 participants reported students’ satisfaction. Higher student satisfaction scores for FCs were demonstrated in contrast to control groups (SMD 0.82, 95% CI 0.45-1.19; P<.001). There was substantial heterogeneity among the included studies (I2=97.8%, τ2=0.913; P<.001) but no evidence for publication bias, and no studies were found to be influential. Conclusions: The FC method is associated with better knowledge achievement and greater student satisfaction than the traditional approach in medical education, paving the way for its broader integration into medical school curricula. However, it is essential to consider various factors, such as the availability of resources, faculty readiness, and student preferences when implementing any new educational approach. This study holds promise for advancing medical education by exploring innovative teaching methodologies that leverage technology to enhance learning outcomes.

Background: The purpose of this meta-analysis was to examine the prevalence of hypertensive disorders of pregnancy (HDPs), particularly preeclampsia (PE), in peripartum cardiomyopathy (PPCM)-affected pregnancies, and to evaluate whether a HDP significantly alters the prognosis of PPCM, with specific reference to the recovery of left ventricular function (LVEF) and mortality. Methods: A total of 5468 potentially eligible studies were identified, and 104 were included in the meta-analysis. For pooling proportions, the inverse variance methods with logit transformation were used. Complete recovery of LVEF (>50%) and mortality were expressed by odds ratios (ORs), with 95% confidence intervals (CIs). The Peto OR (POR) was used in cases of rare events. Baseline LV function and baseline LV end-diastolic diameter (LVEDD) were summarized by the mean difference (MD) and 95% confidence interval (CI). Results: The summary estimate of the prevalence of HDPs and PE in women with PPCM was 36% and 25%, respectively. Patients with HDPs and, more specifically, PE with PPCM had a higher chance of complete recovery (OR = 1.87; 95%CI = 1.64 to 2.13; p < 0.001 and OR = 1.98; 95%CI 1.69 to 2.32; p < 0.001, respectively), a higher baseline LVEF (MD, 1.42; 95% CI 0.16 to 2.67; p = 0.03 and MD, 1.69; 95% CI 0.21 to 3.18; p = 0.03, respectively), and a smaller baseline LVEDD (MD, −1.31; 95% CI −2.50 to −0.13; p = 0.03 and MD, −2.63; 95% CI −3.75 to −1.51; p < 0.001, respectively). These results, however, did not translate into a significant difference in 12-month mortality (POR = 0.80; 95% CI = 0.57 to 1.13; p = 0.21 and POR = 1.56; 95% CI 0.90 to 2.73; p = 0.12, respectively). Conclusions: The findings of this study may contribute to evidence that can be utilized to aid in the risk stratification of patients with PPCM regarding their long-term prognoses.

Background/Objectives: Mild traumatic brain injury (mTBI) is a leading cause of pediatric emergency department visits, particularly among children under three years old. Although computed tomography (CT) is the gold standard for diagnosing intracranial injuries, its use in young children poses radiation risks. Identifying reliable clinical indicators that justify CT imaging is essential for optimizing both patient safety and resource utilization. Objective: This study aimed to evaluate CT findings in children under three years of age with mTBI and no focal neurological deficits, as well as to identify clinical predictors associated with skull fractures and intracranial injuries. Methods: A retrospective analysis was conducted on 224 children under 36 months who presented with mTBI to a tertiary pediatric hospital from July 2019 to July 2024. Demographic data, injury mechanisms, clinical presentation and CT findings were evaluated. Univariate and multivariate regression analyses were performed to identify risk factors associated with skull fractures and intracranial injuries. Results: Falls accounted for 96.4% of injuries, with the majority occurring from heights of 0.5–1 m. The parietal region was the most frequently affected site (38%). Skull fractures were present in 46% of cases and were primarily linear (92.8%). Intracranial hematomas were identified in 13.8% of cases, while brain edema was observed in 7.6%. Significant predictors of skull fractures included age under 12 months (p < 0.001), falls from 0.5–1 m (p = 0.005), somnolence (p = 0.030), scalp swelling (p = 0.001) and indentation of the scalp (p = 0.016). Parietal bone involvement was the strongest predictor of both skull fractures (OR = 7.116, p < 0.001) and intracranial hematomas (OR = 4.993, p < 0.001). Conversely, frontal bone involvement was associated with a lower likelihood of fractures and hematomas. Conclusions: The findings highlight key clinical indicators that can guide decision-making for CT imaging in children with mTBI. Infants under 12 months, falls from moderate heights and parietal bone involvement significantly increase the risk of fractures and intracranial injuries. A more refined diagnostic approach could help reduce unnecessary CT scans while ensuring the timely identification of clinically significant injuries.

Background/Objectives: Composite hemangioendothelioma (CHE) is a rare vascular endothelial tumor with borderline malignancy. This study presents a case of CHE and an updated systematic review of previously reported cases, providing insights into recurrence patterns and survival outcomes. Methods: A comprehensive electronic search was conducted across PubMed, Scopus, the Cochrane Library, and Web of Science up to 31 December 2024, to identify eligible case reports. Kaplan–Meier curves were used to estimate event-free survival. Results: We report a 61-year-old man with a splenic lesion associated with weight loss and abdominal pain persisting for 1 year. Intraoperative findings revealed an enlarged spleen and multiple hepatic deposits. Splenectomy and liver biopsy revealed a well-demarcated, nodular tumor measuring 160 × 145 × 100 mm, with histological and immunohistochemical findings consistent with CHE, complicated by hepatic metastasis. Of 405 potentially eligible studies, 59 were included in the review, covering cases from 2000 to 2024, with a peak in 2020 and 2023. The median age of patients was 42 years, with the most common tumor sites being the lower extremities (30.48%), followed by the face, head, and neck (20.95%), and upper extremities (18.1%). Surgical intervention was the most common treatment (60.95%). Recurrence-free survival was observed in 42.86% of cases, while 15.24% experienced recurrence with or without metastasis. Two patients (1.90%) died from the disease. The median recurrence-free survival was 48 months (95% CI: 7.3–88.7). Conclusions: CHE exhibits significant morphological variation and can mimic other vascular tumors. Accurate diagnosis is crucial for proper prognosis and avoiding overtreatment due to misdiagnosis as more aggressive neoplasms. Patients with high-risk CHE should undergo closer surveillance to ensure timely detection of progression.

Background/Objectives: Peripheral artery disease (PAD) is a significant global health challenge, affecting millions worldwide. Among its various manifestations, femoropopliteal atherosclerotic disease presents a unique challenge due to the biomechanical stresses on the superficial femoral artery (SFA) and popliteal artery (PA). Despite advancements in endovascular interventions, restenosis and stent fractures remain critical issues, particularly in complex and long lesions. Biomimetic stents, such as the SUPERA interwoven nitinol stent, have been developed to address these challenges by closely replicating the natural mechanical properties of the femoropopliteal arteries. This study evaluates the clinical and procedural outcomes of biomimetic stent implantation in patients with femoropopliteal atherosclerotic disease, focusing on patency rates, procedural success, and major adverse limb events (MALE). Methods: A cohort study was conducted at the University Clinical Center of Serbia, including 294 patients with femoropopliteal stenosis or occlusion treated with the SUPERA stent from January 2017 to December 2024. Patients were stratified by lesion complexity using the GLASS classification and procedural success, patency rates, and MALE incidence were assessed. Kaplan–Meier survival analysis was used to evaluate long-term outcomes, and Cox regression analysis identified predictors of MALE. Results: Primary patency rates at 1, 6, 12, and 24 months were 95.6%, 90.1%, 84.2%, and 77.7%, respectively. Primary-assisted patency and secondary patency rates remained high over time. Patients with GLASS IV lesions exhibited significantly lower patency rates and higher MALE incidence compared to GLASS I-III patients (p = 0.002). Occlusion length (≥16 cm) and lesion complexity (GLASS IV) were independent predictors of MALE (p = 0.015). The stent demonstrated high procedural success and durability, with minimal complications. Conclusions: Biomimetic SUPERA stents provide high patency rates and favorable clinical outcomes in complex femoropopliteal lesions. However, lesion complexity and occlusion length significantly impact long-term success. The findings highlight the importance of careful patient selection and lesion assessment for optimizing endovascular treatment strategies in PAD management.

This study explored PhD medical students’ attitudes toward ChatGPT as a learning tool and evaluated the psychometric properties of the Serbian version of the Attitudes Toward Using ChatGPT (ATUC) questionnaire. A cross-sectional study was conducted in 2025 among University of Belgrade PhD medical students using a structured questionnaire. The ATUC scale demonstrated excellent reliability (Cronbach’s alpha = 0.939). Most students (78%) demonstrated low to moderate scores on the total ATUC scale toward the use of ChatGPT. These findings suggest that, although students are aware of the potential benefits of ChatGPT, their attitudes are not strongly positive, indicating a need for clearer guidance and structured training on the appropriate and effective use of generative AI tools in doctoral medical education.