This study focuses on the core pathology of sinew wei （痿）， which is mainly characterized by the fai-lure of qi and blood to nourish the sinews. A mechanical-biological response framework is constructed with mitochondria as a key component， explaining the modern interpretation of the disease location of sinew transmitting to qi and blood pathology. Mechanical loading， as a physical stress stimulus applied to the body， manifests primarily as passive loading formed by external forces such as massage， and active loading resulting from voluntary muscle contractions， such as dao yin （导引）. Mechanical loading can regulate mitochondrial function through two pathways， mechanical signal transduction and metabolic demand-driven regulation. Skeletal muscle mitochondrial dysfunction is regarded as the core microscopic basis of qi imbalance in sinew wei， highlighting the intrinsic connection between qi and mitochondrial energy metabolism， as well as between blood and microcirculatory efficiency. Accordingly， distinct regulatory patterns of mechanical loading are identified. Wei associated with qi stagnation may correspond to mitochondrial network fragmentation and can be treated by regulating qi through passive loading， such as tuina， to restore mitochondrial dynamics. In contrast， wei caused by qi deficiency is attributed to insufficient mitochondrial biogenesis and may be treated by tonifying qi through active loading， such as dao yin， to promote mitochondrial biogenesis. This framework reveals the biological differences in mitochondrial regulation induced by distinct mechanical loading modalities and provides a microscopic mechanism-based explanation for the principle of "treating the same disease with different methods" in sinew wei.

Purpose: The male predominance in the incidence of gastric cancer (GC) is established; however, sex differences in the prognosis of GC remain controversial. As such, this study analyzed the prognosis of patients with GC based on age and sex. Materials and Methods: Data from 14,739 patients diagnosed with GC at Seoul National University Bundang Hospital between 2003 and 2023 were analyzed. Baseline characteristics, histological types of GC, overall and GC-specific survival rates (age and stage stratification), and associated risk factors were analyzed. Results: Females were significantly younger (p < 0.001) and exhibited more gastric body cancers (p < 0.001) and tumors with diffuse-type or poorly differentiated histology (p < 0.001) than males. Females exhibited an advantage over males in terms of overall survival (p=0.004), but not in GC-specific survival. However, age stratification revealed significant sex differences, that females < 50 years of age exhibited survival disadvantages (p < 0.001); however, this trend was reversed with age, and females > 60 years exhibited survival advantages (p < 0.001) for both overall and GC-specific survival. This may be explained by the lower ratio of diffuse-type GC as females age. Furthermore, in the analysis according to stage, females with stage IV disease exhibited significant survival disadvantages, with significantly younger age and a higher proportion of diffuse-type GC which exhibits aggressive features, resulting in poorer survival than in males. Conclusion Age and stage stratification revealed significant differences in survival between the sexes, which can be helpful for public health strategies.

Purpose: This study evaluates the Korean Cancer Study Group Geriatric Score-7 (KG-7) frailty screening tool’s effectiveness in elderly multiple myeloma (MM) patients to prevent under and overtreatment. Materials and Methods: This prospective pilot cohort study included 100 elderly patients aged 70 and older with newly diagnosed MM who had not undergone transplantation from August 2020 to January 2022. Results: The median age was 77 years, and 73.0% of patients were classified at International Staging System stages 2 or 3. Using a 5-point cutoff on the KG-7 index (non-frail, score ≥ 5; frail, score < 5), 31% were categorized as frail. After a median follow-up of 26.8 months, the 3-year overall survival rate was 73.0%. There was no statistically significant association between any frailty index and the risk of death. However, frail patients defined by the simplified frailty index (hazard ratio [HR], 2.49; 95% confidence interval [CI], 1.09 to 5.95; p=0.030) and by KG-7 (HR, 2.43; 95% CI, 1.03 to 5.86; p=0.043) had a significantly higher risk of grade 3-4 non-hematologic toxicity, whereas the International Myeloma Working Group definition did not. Over a 24-month tracking period, vulnerability as measured by KG-7 either improved or deteriorated. Conclusion The pilot study, which had a limited number of participants, did not demonstrate KG-7’s effectiveness in predicting survival; however, it successfully predicted severe non-hematologic toxicities. We plan to conduct larger studies in elderly MM patients to determine whether KG-7 can help tailor their treatment regimens.

Purpose: High-cost novel therapies for multiple myeloma (MM) require evaluation of efficacy and cost-effectiveness. Materials and Methods: This study developed a methodology to assess cost-effectiveness using nationwide data from 11,450 newly diagnosed MM patients. A novel algorithm was applied to identify lines of therapy (LoT). Results: The number of newly diagnosed MM patients increased significantly, from 873 in 2010 to 1,464 in 2019 (p < 0.001). Advancing LoT was associated with shorter time to next treatment (TTNT) and overall survival (OS) (p < 0.001), while all-cause medical costs increased with each LoT (p < 0.001). Bortezomib-melphalan-prednisolone was the most common frontline regimen for transplant-ineligible patients (29.2%), while bortezomib-thalidomide-dexamethasone was most used for transplant-eligible patients (11.3%). Daratumumab monotherapy demonstrated superior second TTNT (7.8 vs. 5.2 months) and OS (8.5 vs. 5.3 months) compared to standard care in heavily treated MM patients, with statistical significance maintained after cost adjustment. For subsequent therapies following daratumumab, a methodology was developed to estimate required medical costs using the incremental cost-effectiveness ratio (ICER): Expected cost ($)=ICER×(Expected life expectancy–0.567)+35,601. Conclusion This study provides a novel cost-effectiveness framework linking treatment efficacy and real-world costs, supporting predictions of societal costs for future MM therapies.

Objective: The coronavirus disease 2019 (COVID-19) pandemic disrupted healthcare systems worldwide, leading to increased mortality rates across various conditions. This study assessed the impact of COVID-19 on excess in-hospital mortality among emergency department patients and examined variations by community income levels, thereby highlighting socioeconomic disparities. Methods: This retrospective cross-sectional study used data from the National Emergency Department Information System in Korea. Cancer patients who visited emergency departments between January 27 and December 31 in 2019 (pre-COVID) and 2020 (during COVID) were included. The primary outcome was in-hospital mortality. The main exposure was the COVID-19 outbreak, with county per capita income tax serving as the interaction variable. The risk-adjusted in-hospital mortality rates were calculated. A multilevel linear regression model with an interaction term was used to estimate the difference-in-difference between the periods based on county income tax. Results: A total of 206,400 cancer patients were included 110,879 pre-COVID and 95,521 during COVID with an unadjusted in-hospital mortality rate of 1.0%. The risk-adjusted mortality rate was significantly higher during COVID than pre-COVID (1.2% vs. 0.9%, P<0.01). Using the highest socioeconomic status group (Q1) as the reference, the excess inhospital mortality odds during COVID were higher in Q3 (adjusted odds ratio [aOR], 1.32; 95% confidence interval [CI], 1.17-1.54) and Q4 (aOR, 1.43; 95% CI, 1.15-1.77). Conclusion The COVID-19 pandemic exacerbated in-hospital mortality disparities among cancer patients, imposing a greater burden on lower socioeconomic groups. These findings highlight the importance of implementing equitable healthcare strategies to protect vulnerable populations during health emergencies.

Objective: To classify life stages for companion dogs and cats by identifying clusters in age-specific disease proportions derived from medical records, providing a data-driven foundation for health examination programs. Methods: We collected 505,667 medical records from 82 veterinary facilities in South Korea between 2020 and 2023. Diagnoses were standardized using GPT-4o and S-BioBERT. Following preprocessing, data from 27 facilities yielded 222,706 canine and 39,910 feline records for the final analysis. Principal component analysis and K-means clustering (K = 4) were applied to age-specific disease proportions to identify life stages.The 10 most highest-proportion diagnoses diseases were determined for each cluster. Results: Canine life stages were classified as ≤ 1 year, 2–5 years, 6–10 years, and 11–15+ years.Feline life stages were 1–2 years, 3–8 years, 9–12 years, and 13–15+ years. In dogs, developmental diseases were common in the youngest age group, while chronic diseases were more prevalent in older groups. In cats, oral and urinary diseases were high-ranking, conjunctivitis was most common in the early stage, and chronic diseases increased with age. Conclusions and Relevance: Age-specific diagnosis patterns support four practical life stages for dogs and cats in South Korea. These boundaries can inform evidence-based preventive examination schedules, animal health policy, and pet insurance product design.

The medical journal publishing environment in Korea has changed rapidly since the 2010s owing to the expanded influence of international indexing databases, changes in research performance evaluation systems, and the strengthening of research and publication ethics. Amid these changes, the Journal of Yeungnam Medical Science (JYMS) has successfully advanced from a local journal to an international journal through a series of strategic transformations, including the appointment of a Managing Editor in 2011, conversion to an English journal in 2018, introduction of an online manuscript submission and peer review system in 2020, and transition to continuous article publishing in 2025. Consequently, it has been indexed in major international indexing databases, including the Directory of Open Access Journals (DOAJ), PubMed, PubMed Central, Scopus, and Emerging Sources Citation Index (ESCI). Notably, in 2025, international submissions increased substantially, with foreign authors accounting for 79.1% of the total submissions. In addition, citation metrics such as Journal Impact Factor and CiteScore increased. These achievements were supported by the dedicated efforts of the editorial board members, volunteer peer reviewers, and the local and international authors who submitted high-quality manuscripts, together with the establishment of standardized editorial policies and systematic quality control procedures. However, practical challenges remain, including financial constraints, staffing structures, workflow continuity, and difficulties securing peer reviewers. The JYMS case demonstrates that journal internationalization is a long-term process enabled by sustained investment, establishment of professional infrastructure, and organizational support. This suggests that collective academic commitment and stable operational systems are essential for the sustainable development of journals.

Alterations in gait patterns often indicate health status, and their analysis enables the diagnosis and assessment of various health conditions. This study aimed to develop a noncontact gait analysis system using red, green, and blue-depth (RGB-D) cameras and to evaluate its potential clinical applicability. A single case study was conducted to assess changes in the gait patterns of a patient with stroke before and after the application of an ankle-foot orthosis. Twenty walking trials were recorded to evaluate the key gait parameters. The custom RGB-D camera-based gait analysis system demonstrated the potential to rapidly quantify key gait parameters in the patient. Compared with normative data, it effectively identified characteristic stroke-related gait impairments such as shorter step lengths and slower gait speeds. However, the intraclass correlation coefficient analysis indicated low measurement reliability. Although the stance time and minimum knee angle on the left and right sides exceeded the standard error of measurement (SEM), no changes exceeded the minimal detectable change (MDC) criteria. Moreover, other gait parameters did not show significant changes beyond SEM or MDC, limiting the interpretability of the results. Therefore, further technological developments and data collection are required to improve test-retest reliability and sensitivity to change.