Journal of Korean medical science
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J. Korean Med. Sci. · Nov 2023
Increased Screening Rates for Thyroid Cancer Among Residents Living Near Nuclear Power Plants.
Frequent screening for thyroid cancer has been suggested as a probable explanation for the observed high risk of thyroid cancer in nuclear power plant (NPP) areas. We aimed to compare thyroid cancer screening rates of residents living near NPPs to those of the general population. ⋯ We observed an increase in screening rates in residents near NPPs, which may lead to a higher possibility of thyroid cancer detection. Therefore, further epidemiological studies investigating radiation-induced thyroid cancer risk among residents near NPPs should be carefully designed and interpreted considering possible detection bias.
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J. Korean Med. Sci. · Nov 2023
Differences in Growth and Dietary and Nutrient Intake Patterns by Breastfeeding Status Over One Year Among Korean Children Aged 24-35 Months.
A previous national study found that Korean children who were breastfed for at least one year had lesser weight gain, lower protein, calcium, and iron intake relative to calories, and different dietary patterns in the second year of life, compared with children weaned before 12 months of age or those who were never breastfed. Therefore, this study aimed to investigate whether growth status, dietary and nutrient intake patterns differed by prolonged breastfeeding (PBF) experience even in the third year of life, when weaning is considered complete. ⋯ Even in the third year of life, children who have been breastfed for over one year continue to have relatively slow growth. However, they do appear to have better intake of some beneficial nutrients, which may be attributed to healthier dietary intake patterns in children with PBF. The results of this study can be used to support the recommendation of long-term BF for Korean infants and toddlers.
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The goal of the methylation classifier in brain tumor classification is to accurately classify tumors based on their methylation profiles. Accurate brain tumor diagnosis is the first step for healthcare professionals to predict tumor prognosis and establish personalized treatment plans for patients. The methylation classifier can be used to perform classification on tumor samples with diagnostic difficulties due to ambiguous histology or mismatch between histopathology and molecular signatures, i.e., not otherwise specified (NOS) cases or not elsewhere classified (NEC) cases, aiding in pathological decision-making. ⋯ This challenge is further amplified when dealing with recently identified novel types or subtypes of brain tumors, as such data are not readily accessible through open databases or authors of publications. An additional obstacle arises from the fact that methylation classifiers are primarily research-based, leading to the unavailability of charging patients. It is important to note that the application of methylation classifiers may require specialized laboratory techniques and expertise in DNA methylation analysis.
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J. Korean Med. Sci. · Nov 2023
Comprehensive Measurement of the Burden of Disease due to Adverse Events: A New Analysis of the Cross-Sectional Patient Safety Incident Inquiry.
A methodology for comprehensively and reasonably measuring the burden of disease due to adverse events has yet to be clearly established. In this study, a new and systematic method for measuring the burden of disease due to adverse events was tested by utilizing the results of a medical record review, which is commonly used as a gold standard. ⋯ If this more standard method of systematically calculating the disease burden due to adverse events is used, it will be possible to compare the size of the patient safety problem with that of other diseases. The results of this study indicate that we still need to pay more attention to the issue of patient safety.