Purpose: To develop the 2025 update to the Korean colorectal cancer (CRC) screening guidelines by systematically evaluating recent evidence, integrating domestic data, and addressing changes since the 2015 guideline revision, thereby providing an evidence-based standard for clinicians and policymakers. Methods: A multidisciplinary committee developed the guidelines using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The process included formulation of three key questions addressing screening efficacy, diagnostic accuracy, and optimal screening age and interval. A systematic review of international guidelines and primary literature was conducted, yielding 327 eligible studies. In addition, a utility-based analysis using a Markov model was performed to determine optimal screening ages and intervals. Results: The evidence synthesis identified high-certainty evidence supporting the use of the fecal immunochemical test (FIT) for reducing CRC mortality and moderate-certainty evidence for colonoscopy. Evidence for computed tomographic colonography (CTC) and stool DNA testing was rated as very low certainty. Based on the evidence review and cost-utility analysis, the committee conditionally recommends CRC screening for asymptomatic, average-risk adults aged 45–74 years using either colonoscopy every 10 years or FIT every 1–2 years. CTC and stool DNA testing were not recommended owing to insufficient evidence. Conclusion The 2025 Korean Guidelines for Colorectal Cancer Screening present updated, evidence-based recommendations tailored to the domestic healthcare context. By conditionally endorsing both colonoscopy and FIT for individuals aged 45–74 years, these guidelines aim to improve population-level screening effectiveness and reduce the burden of CRC in South Korea.

Background: Cisplatin-based chemotherapy is a mainstay treatment for head and neck squamous cell carcinoma (HNSC); however, resistance to cisplatin contributes substantially to poor clinical outcomes. Identifying biomarkers associated with cisplatin response may improve prognostic assessment and treatment selection. Methods: We retrospectively analyzed The Cancer Genome Atlas (TCGA)-HNSC dataset to evaluate the association between microtubule associated scaffold protein 1 (MTUS1) expression and clinical outcomes, with particular emphasis on patients who were cisplatin-treated. Survival analysis was performed using the Kaplan-Meier curves, and differential expression analysis was conducted separately by comparing patients in disease-specific survival (DSS)-living and DSS-deceased groups. MTUS1 messenger RNA and protein levels were examined in cisplatin-sensitive oral cancer cell lines and their paired cisplatin-resistant counterparts using quantitative reverse transcription polymerase chain reaction and western blotting. Functional relevance was assessed by small interfering RNA-mediated MTUS1 knockdown in primary oral squamous cell carcinoma organoids. Results: MTUS1 protein expression was significantly lower in HNSC tumors than in non-tumor tissues. In the overall TCGA-HNSC cohort, MTUS1 expression was not significantly associated with survival. However, in patients who were cisplatin-treated, higher MTUS1 expression was significantly associated with more favorable DSS. MTUS1 expression was consistently lower in cisplatin-resistant oral cancer cell lines than in their paired cisplatin-sensitive counterparts. Functional experiments further suggested that reduced MTUS1 expression is associated with decreased cisplatin sensitivity and a resistant phenotype. Conclusion MTUS1 expression may be associated with clinical outcomes in patients with cisplatin-treated HNSC and is related to cisplatin responsiveness. These findings suggest a role for MTUS1 as a candidate treatment-relevant biomarker and highlight the value of integrating public omics data with experimental validation.

Background: The heterogeneity of chronic kidney disease (CKD) and fragmented analysis methods hinder the precise identification of novel biomarkers. We addressed this challenge using two independent cohorts to integrate genomics and metabolomics, aiming to identify cause-specific biomarkers for CKD in the Korean population. Methods: A longitudinal genome-wide association study using the Cox proportional hazards model was conducted using the Ansan and Ansung cohort. To validate these genomic biomarkers and integrate them with plasma metabolomics biomarkers, we utilized a hospital-based biopsy cohort to identify cause-specific CKD biomarkers. Within the biopsy cohort, we analyzed four disease subsets, including type 2 diabetic kidney disease (DKD), hypertensive nephropathy (HN), immunoglobulin A nephropathy (IgAN), and membranous nephropathy (MN), and compared them with healthy individuals. Significant single nucleotide polymorphisms(SNPs) and metabolites for each CKD subset were identified through logistic regression and correlation-based network analyses. Subsequently, we analyzed the risk of disease progression associated with the identified pairs. Results: A total of 448 variants associated with CKD occurrence were identified, with significant differences in several genetic variants and metabolites observed among patients with DKD, HN, IgAN, and MN compared to healthy individuals. Among 36 SNP-metabolite pairs, those involing FOXB1 and ZFP42 were associated with DKD, whereas pairs involving MMRN1 and SYNJ2 were linked to MN. Notably, the rs1025170 variant in FOXB1 and tyrosine pair was correlated with DKD progression. Conclusion Integrating genomics and metabolomics across independent cohorts enables the discovery of cause-specific biomarkers for the occurrence and progression of CKD in the Korean population.

Purpose: Atypical hyperplasia (AH) management remains controversial due to variable malignant disease progression rates. While Western studies report 10% to 25% upgrade rates, data from Asian populations, particularly from referral academic centers, are limited. We aimed to identify predictive factors for malignant upgrade in Korean women with AH at academic hospitals. Methods: This retrospective multi-institutional study analyzed 340 patients diagnosed with AH on initial biopsy who underwent subsequent excision at five Korean academic hospitals from 2000 to 2022. Malignant upgrade was defined as ductal carcinoma in situ or invasive cancer on the final pathology. Multivariate logistic regression was used to identify independent predictors of upgrades. Results: Among 340 patients (319 atypical ductal hyperplasia, 20 atypical lobular hyperplasia, and 1 mixed), 128 (37.6%) experienced a malignant upgrade, 98 (76.6%) to ductal carcinoma in situ, and 30 (23.4%) to invasive cancer. In multivariate analysis, multifocal atypia (odds ratio [OR], 25.61; 95% confidence interval [CI], 11.20–58.55; P<0.001) and Breast Imaging-Reporting and Data System 4c-5 lesions (OR, 11.02; 95% CI, 1.43–84.86; P=0.021) were significant predictors. Multifocal atypia showed an 84.4% upgrade rate. Core needle biopsy had higher upgrade rates than vacuum-assisted biopsy (45.2% vs. 20.0%; P<0.001). The upgrade rates decreased from 50% to 25% over the study period (P<0.05). Conclusion The 37.6% upgrade rate in this tertiary referral cohort exceeded that in Western reports, with multifocal atypia emerging as the strongest predictor. These findings support immediate excision for multifocal atypia while allowing individualized management for unifocal lesions with favorable imaging in Korean tertiary care settings.

Background/Aims: Despite numerous global changes in Helicobacter pylori treatment guidelines over the past decade, no comprehensive nationwide trend analysis has been conducted.We aimed to investigate the annual trends in the use of H. pylori treatment regimens on the basis of hospital type and region to identify whether changes in prescription patterns aligned with the Korean guidelines updated in 2013 and 2020. Methods: Using data from Korean Health Insurance Review and Assessment database spanning from January 2010 to December 2022, we extracted the performance code for H. pylori diagnosis along with the drug combination code for H. pylori treatment. Results: We analyzed the annual trends in standard triple therapy (STT; n=664,748), bismuth quadruple therapy (BQT; n=151,828), concomitant therapy (CT; n=3,034), sequential therapy (SEQ; n=1,612), and salvage treatment. Overall, STT use declined, with the use of 7-day STT decreasing but the use of 10- and 14-day STT increasing. The use of BQT as a first-line treatment consistently increased, and non-BQT (i.e., CT and SEQ) use also increased sharply since 2019.The tendency to adhere to the guideline changes was more pronounced in primary care clinics.Salvage treatment with BQT after STT failure exhibited a declining trend from 2010 to 2017, followed by an increase since 2018. Salvage treatment with levofloxacin triple therapy after BQT failure increased over time. Conclusions This long-term nationwide trend analysis revealed that real-world prescriptions for H. pylori treatment generally corresponded to the updated guidelines. Efforts are needed to disseminate the revised guidelines to achieve higher compliance rates.

Background: and Purpose Criteria for amyloid-related imaging abnormalities in anti-amyloid therapy are based on T2* gradient-recalled echo (GRE), but susceptibility-weighted imaging (SWI) is widely used, creating uncertainty. This study quantitatively compared the detectability of SWI and GRE for cerebral microbleeds and established evidence supporting distinct microbleed criteria for each. Methods: A systematic review and meta-analysis were conducted following PRISMA guidelines. PubMed and Embase were searched for studies directly comparing SWI and GRE up to August 8, 2024. Study quality was assessed with QUADAS-2. The pooled proportion of microbleed detection and detection ratio were calculated. Subgroup analyses were performed based on magnetic field strength (1.5 T vs. 3 T) and SWI slice thickness (<2 mm vs. ≥2 mm), equipment vendor, and study quality. Results: Thirteen studies were included. SWI detected cerebral microbleeds approximately 1.6times more effectively than GRE. At 3.0 T and 1.5 T, SWI exhibited 1.7-fold and 1.5-fold greater detectability, respectively. SWI with thinner slices (<2 mm) showed a 1.9-fold improvement, while thicker slices (≥2 mm) showed a 1.3-fold improvement. Subgroup analyses revealed no significant differences between vendors (0.61 vs. 0.60, p=0.89), or by study quality (0.61 vs. 0.59,p=0.89). Conclusions SWI detects cerebral microbleeds about 1.6 times more effectively than GRE, highlighting important differences between the two techniques. Cautious exploration of adjusted thresholds may be needed, and prospective validation in therapy-specific cohorts will be essential before clinical application.

This study aimed to develop a predictive model for the early identification of patients at risk of sepsis, using routinely available clinical information and laboratory test results collected during the initial phase of patient care. Methods: This retrospective analysis included electronic medical records of 22,400 adult patients who presented with suspected infection to a tertiary care university hospital in Korea between January 2013 and May 2024. Patients were classified according to Systemic Inflammatory Response Syndrome (score ≥ 2) or Quick Sequential Organ Failure Assessment (score ≥ 2), in combination with sepsis-related International Classification of Diseases, 10th revision codes. Four different machine learning models were trained and validated using five-fold cross-validation. In addition, Shapley additive explanations analysis was performed to interpret the contribution and clinical relevance of key predictive variables. Results: Among the evaluated models, CatBoost demonstrated the strongest predictive performance. Notably, platelet distribution width, alveolar–arterial oxygen difference, procalcitonin, and the arterial/alveolar oxygen ratio consistently emerged as major predictors. Importantly, several variables that did not reach statistical significance in univariate analysis nevertheless contributed substantially to overall model performance, highlighting the importance of complex, multidimensional interactions among clinical factors. Conclusion: These findings indicate that a model based on simple, routinely collected clinical data can achieve high predictive accuracy and strong generalizability. Such a tool may support early clinical decision-making by multidisciplinary teams, including nurses, across diverse real-world care settings. Further prospective studies are warranted to validate its clinical utility and to assess its potential effects on patient outcomes.

Purpose: : This study aimed to develop and implement a checklist for intrahospital transport (IHT) of critically ill patients and to evaluate its effectiveness on patient safety nursing performance and the incidence of patient safety incidents related to IHT among intensive care unit (ICU) nurses. Methods: : A quasi-experimental one-group pretest-posttest design was used with 64 nurses working in two ICUs of a tertiary hospital in Seoul, Korea. Data were collected between July and November, 2024. Patient safety nursing performance related to IHT was assessed using a validated instrument, and 60 IHT cases were reviewed to determine the incidence of patient safety incidents. Statistical analyses included paired t-tests and chi-squared tests. Results: : After implementation of the IHT checklist, nurses’ patient safety nursing performance related to IHT significantly improved (pre: 4.48±0.31; post: 4.56±0.27; t=-2.30, p =.025). Significant improvements were also observed in pre-transport preparation (p =.035), patient monitoring during transport (p =.002), and post-transport patient management (p =.044). The incidence of patient safety incidents related to events per transport decreased from 66.7% (20/30 cases) before the checklist to 30.0% (9/30 cases) after its use (χ2=8.08, p =.004). Conclusion : The checklist effectively enhanced patient safety nursing performance and reduced adverse events during IHT of critically ill patients. These results highlight the value of structured checklists as simple yet powerful tools for standardizing care, strengthening communication, and improving overall patient safety in complex clinical environments.

Background: We analyzed the status of organ distribution in pediatric deceased donor liver transplantation (DDLT) in Korea. Additionally, we estimated how many pediatric patients could have avoided living donor liver transplantation (LDLT) or survived if new criteria for splittable deceased donors were adopted. Based on the findings, we advocate expanding policy to promote the universal adoption of split liver transplantation (SLT). Methods: Using the Korean Network for Organ Sharing database, we identified patients who underwent DDLT between January 2000 and December 2020. We considered “po-tential splittable donors” those with a donor-to-recipient weight ratio of ≥1.0 who met the existing SLT criteria (age 10–40 years; weight ≥50 kg). By comparing the numbersof pediatric LDLT recipients and potential splittable donors annually, we estimated how many patients might have avoided LDLT if the left lateral section of each splittable liver had been allocated to a child. Additionally, we compared the number of deaths on the DDLT waiting list with the number of potential splittable donors to estimate possibly preventable deaths. Results: Overall, we identified 640 potential splittable donors. Over the 20-year period, 1,210 pediatric patients (<19 years old) received LDLT. If potentially splittable livers had been split, this number could have been nearly halved. Furthermore, 127 patients died while on the DDLT waiting list. Using SLT with potential splittable donors, these deaths might have been prevented. Conclusions SLT could reduce avoidable deaths among pediatric patients while decreasing the economic and social burden of LDLT, without compromising survival for adult DDLT recipients.