Objectives: Large language models (LLMs) demonstrate remarkable potential in healthcare communication. However, whether they can process complex, high-volume medical information, such as stroke-related content, remains insufficiently validated. This study aimed to evaluate the natural language processing capabilities of LLMs in handling such content and to develop an evaluation instrument. Methods: A survey compared educational materials generated by two LLMs (ChatGPT 4.0 and Claude 3) with neurologist-authored content on stroke. The materials were based on two clinical scenarios representing distinct stroke etiologies: cardioembolism and large-artery atherosclerosis. They were evaluated in terms of accuracy, legality, ethics, comprehensiveness, and information delivery. Scores for comprehensiveness and information delivery were compared according to participants’ agreement with the use of LLMs in healthcare. Results: ChatGPT received the highest scores across all domains, except for legality in Scenario 2. In Scenario 1, the ranking for accuracy and summarization of clinical information was, from highest to lowest, ChatGPT, Claude, and the neurologist (η2 = 0.140, p < 0.001; η2 = 0.175, p < 0.001). The same hierarchy was observed in Scenario 2 for accuracy (η2 = 0.077, p < 0.001) and summarization (η2 = 0.194, p < 0.001). Participants who agreed with the use of LLMs in healthcare assigned higher scores for the comprehensiveness (Scenario 1, p = 0.005; Scenario 2, p = 0.007) and information delivery (Scenario 1, p = 0.003; Scenario 2, p = 0.026) of ChatGPT-generated materials than participants who did not agree. Conclusions LLMs demonstrated adequate capability to convey complex content, such as stroke-related information, in an accessible and understandable manner for non-experts.

This study aimed to characterize cancer patients presenting to the emergency department (ED) and to identify factors associated with ED length of stay (LOS) and 72-hour revisits. Methods: This retrospective study analyzed the medical records of adult cancer patients who visited the ED of a tertiary hospital in Seoul between June and November 2023. Among 21,495 ED visits, 2,225 met the inclusion criteria. Variables included general characteristics, cancer-related characteristics, and ED visit–related characteristics. Outcomes were ED LOS and 72-hour revisits. Data were analyzed using the t-test, analysis of variance, chi-square test, multiple linear regression, and logistic regression. Results: The mean age was 64.75 ± 14.85 years, and 51.0% of patients were men. Gastrointestinal cancers were the most common cancer type (49.6%), and abdominal pain was the most frequent chief complaint (17.4%). The mean ED LOS was 245.93 ± 189.79 minutes, and the 72-hour revisit rate was 5.4%. Factors associated with longer ED LOS included older age, previous ED visits, off-hours arrival, higher acuity, ambulance transport, abnormal respiratory rate, and administration of nonsteroidal anti-inflammatory drugs, acetaminophen, or opioids. Factors influencing 72-hour revisits included the absence of a do-not-resuscitate (DNR) order, abnormal systolic blood pressure, and admission. Conclusion: For older cancer patients with high acuity who visit the ED by ambulance during off-hours, early assessment of dyspnea and prior ED utilization, along with prompt symptom-based pharmacologic interventions, is recommended. At discharge, providing education tailored to the patient’s clinical condition, including DNR status, admission status, and vital signs, and ensuring early outpatient or telephone follow-up may strengthen continuity of care and reduce short-term ED revisits.

Subarachnoid hemorrhage (SAH) is a stroke subtype with high mortality and poor functional outcomes. Prompt occlusion of a ruptured aneurysm at an early stage is crucial to prevent rebleeding, which can result in even higher mortality and more severe disabilities. The most critical initial decision in SAH management is the choice of treatment method with surgical clipping or endovascular coiling. We aimed to develop an evidence-based clinical guideline to select the optimal initial treatment in patients with SAH. We developed this guideline based on evidence from systematic reviews and meta-analyses via a de novo process. A systematic literature review was conducted across four databases (MEDLINE, Embase, Cochrane, and KoreaMed) to answer two population, intervention, comparison, outcome questions comparing clipping and coiling. The risk of bias was assessed using ROB 2.0 and the Newcastle-Ottawa Scale. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagrams and meta-analyses were generated for functional outcome and mortality. We included six randomized control trials (RCTs) and 58 observational studies. Meta-analysis of RCTs showed that coiling improved functional outcomes compared to clipping (odds ratio [OR], 0.91; 95% confidence interval [CI], 0.86–0.97). No significant mortality difference was observed in RCTs (OR, 1.38; 95% CI, 0.91–2.09), but non-RCTs favored clipping for reduced mortality (OR, 0.77; 95% CI, 0.69–0.86). However, it is difficult to generalize these findings to all clinical situations, as patients with SAH have a highly variable clinical course. Final treatment decision should be tailored to the individual patient’s status, including aneurysm location, morphology, and the expertise available at the treatment center. Such decisions are best made by specialists such as a board-certified physician and should be explained to the patient and their caregivers, along with the rationale for selecting the most appropriate treatment at the given hospital. Korea has many certified endovascular neurosurgeons, cerebrovascular surgeons, and certified cerebrovascular centers. Proper selection of the most suitable treatment method by certified physicians and centers would greatly benefit patient outcomes and healthcare professionals.

Accurate and early identification of stroke and large vessel occlusion (LVO) in emergency settings is essential for improving patient outcomes and ensuring the efficient allocation of medical resources. This clinical practice guideline systematically reviews domestic and international literature and conducts meta-analyses to evaluate the utility and diagnostic accuracy of stroke assessment tools used in prehospital emergency medical services (EMS). We developed a guideline based on evidence from systematic reviews and meta-analyses via a de novo process. A systematic literature review was conducted to evaluate the usefulness of diagnostic EMS assessment tools for diagnosing stroke and LVO. Overall, 70 non-randomized control studies were selected for this study. A meta-analysis was conducted with a subgroup analysis to distinguish between patients with stroke and those with LVO. EMS tools demonstrated high sensitivity but low specificity for diagnosing stroke. In the prehospital setting, using validated EMS stroke assessment tools is recommended for the early identification of stroke and LVO. Upon hospital arrival, stroke specialists should conduct further evaluation and triage to confirm the diagnosis and guide appropriate management. Delays in diagnosing LVO are frequently unacceptable. While experts advocate for the use of EMS assessment tools to facilitate early identification of LVO, these tools alone lack adequate sensitivity. Therefore, further diagnostic evaluations and consultation with stroke specialists upon hospital arrival are recommended.

The mothership (MS) model, where patients are directly transferred to a thrombectomy-capable center, and the drip-and-ship (DS) model, where thrombolysis is initiated at the nearest primary stroke center before transfer for thrombectomy, are the primary transport modes for patients with stroke. We aimed to establish guidelines for selecting the appropriate transfer strategy based on emergent large vessel occlusion (LVO). We developed this guideline based on evidence from systematic reviews and meta-analyses via a de novo process. A systematic literature review was conducted across four databases (MEDLINE, Embase, Cochrane, and KoreaMed) to answer three Population, Intervention, Comparison, and Outcome questions comparing MS and DS models. The risk of bias was assessed using the Newcastle-Ottawa Scale. Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagrams and meta-analyses were generated for functional outcomes, mortality, and successful recanalization. Twenty-six non-randomized controlled studies showed that the MS model improved good functional outcomes by approximately 14% compared with the DS model (odds ratio [OR], 1.14; 95% confidence interval [CI], 1.00–1.30). Fifteen studies reported that mortality in the MS and DS models showed no significant differences (OR, 0.97; 95% CI, 0.84–1.11). Twenty-four studies revealed no significant difference in successful recanalization between the MS and DS models (OR, 0.87; 95% CI, 0.68–1.10). The MS model should be considered first to improve the functional outcome of patients with LVO. However, if thrombectomy cannot be performed immediately after thrombolysis, or if a thrombectomy-enabled hospital is not nearby, the DS model should be considered by stroke specialists depending on transportation time and regional factors. We suggest a mixed approach with the DS model based on specific circumstances or regions to ensure the optimum treatment of patients with acute ischemic stroke (AIS). Appropriate transport for patients with LVO improves the prognosis of AIS.

Objective: : This study aims to evaluate and compare the clinical and radiographic outcomes of patients with metastatic spinal tumors who underwent either short-segment fixation with anterior support or long-segment fixation with a separation surgery in the thoracic or lumbar spine. Methods: : We conducted a retrospective analysis of adult patients who were treated surgically for spinal metastases in the thoracic or lumbar spine at a single tertiary referral center between April 2014 and December 2022. Surgical treatments included spinal cord decompression, short-segment fixation with maximal circumferential debulking of the lytic tumor portion and anterior support, or longsegment fixation without anterior support, followed by separation surgery and posterolateral fusion. We compared the two fixation strategies based on patient demographics, preoperative diagnoses, surgical data, neurological assessments, and changes in segmental Cobb angles immediately after surgery, and at the final follow-up. Results: : A total of 91 patients were included (short-segment, 44; long-segment, 47). No significant differences were observed between the groups regarding age, sex, comorbidities, primary cancer location, postoperative complications, or reoperation rates. Furthermore, no significant differences in the sagittal Cobb angles, including global angle (thoracic kyphosis, lumbar lordosis) and segmental angle were noted from the preop to the final follow-up. Compared to traditional long-segment fixation, short-segment fixation with anterior support significantly improved neurological outcomes in the thoracic region and reduced the length of hospital stay. No significant differences were observed between the two groups regarding complications or other clinical outcomes. Conclusion : Short-segment fixation is comparable to long-segment fixation in the management of thoracolumbar metastatic spinal tumors, with no significant differences in radiographic outcomes. However, short-segment fixation provides the added advantages of improved neurological outcomes in the thoracic region and shorter hospital stays.

Purpose: This study aimed to evaluate the efficacy of polydeoxyribonucleotide (PDRN) injection after impacted mandibular third molar (IMTM) extraction. The primary outcome was postoperative pain, while secondary outcomes included postoperative swelling, periodontal pocket depth, and patient-reported outcome. Materials and Methods: Thirty medically uncompromised patients who underwent bilateral extraction of IMTMs were enrolled in the clinical study. PDRN was randomly injected on the experimental side, while normal saline was injected on the control side.Postoperative pain was assessed using a visual analog scale. Postoperative swelling was evaluated via linear measurements based on the Laskin method. Furthermore, three-dimensional volumetric analysis was conducted by superimposing serial facial scans obtained at baseline (preoperatively) and on postoperative days 3 and 7. Pocket probing depth was evaluated using a periodontal probe. Patients’ postoperative morbidity and subjective perceptions were evaluated using the patient-centered outcome questionnaire. Statistical software was used to evaluate the data, and p<0.05 was considered statistically significant. Results: Patients demonstrated statistically meaningful reductions in postoperative pain, swelling, and discomfort on the experimental side. Conclusion The results suggest that PDRN injection can be a suitable option to mitigate postoperative complications after IMTM extraction. However, further randomized controlled trials are required to confirm the reliability of the study and verify its suitability.

The sixth edition of the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) was published in 2025. This review compared KMAP-DD 2025 with four major international clinical practice guidelines: Canadian Network for Mood and Anxiety Treatments Clinical Guidelines for the Management of Major Depressive Disorders, National Institute for Health and Care Excellence Depression Guideline, Royal Australian and New Zealand College of Psychiatrists Clinical Practice Guidelines for Mood Disorders, and British Association for Psychopharmacology Guideline. While KMAP-DD is based on expert consensus, and others on evidence-based methods, overall treatment strategies for depressive episodes were fairly consistent. Especially, KMAP-DD 2025 offers more structured recommendations in areas lacking strong evidence, such as premenstrual dysphoric disorder, perinatal depression, and depression with medical comorbidities. KMAP-DD 2025 also reflected Korean clinical practice patterns emphasizing rapid symptom relief and early use of combination strategies. Despite limitations as a consensus-based guideline, KMAP-DD 2025 complements evidence-based approaches and provides practical, situation-specific guidance for real-world clinical decision-making in Korea.

Background: Despite the rising incidence of end-stage renal disease (ESRD) among individuals with type 2 diabetes mellitus (T2DM) in Korea, no predictive model or nomogram has been developed using a nationwide cohort. In this study, we developed a nomogram to predict the long-term risk of ESRD in patients with T2DM using a large-scale, population-based Korean database. Methods: Using the Korean National Health Insurance Database, patients with T2DM who underwent health examinations between 2015 and 2016 were assigned as development (n=1,744,277) and validation (n=747,407) cohorts. New ESRD cases were identified using codes for renal replacement therapy. A Cox proportional hazards regression model was used to derive a risk-scoring system, and 13 variables were selected. A risk score nomogram was then created to estimate the risk of ESRD. Results: In the development cohort, 8,631 patients with T2DM developed ESRD during a follow-up period of 4.8±0.9 years. After multivariable adjustment, significant predictors of ESRD included male sex, current smoking, physical inactivity, low income, low body mass index, hypertension, low-density lipoprotein cholesterol ≥160 mg/dL, chronic kidney disease, insulin use, and longer duration of T2DM. A final nomogram incorporating 13 variables was developed to estimate the individual probability of ESRD. The concordance index for ESRD prediction in the validation cohort was 0.906 (95% confidence interval, 0.9 to 0.912). Conclusion This 13-variable nomogram provides a simple tool for identifying patients with T2DM at high risk of ESRD and may aid in early intervention.