This case report explores the challenges and complexities associated with opioid management of cancer pain, emphasizing the importance of early involvement of a hospice consultation team and the adoption of a multidisciplinary approach to care. A 56-year-old man with advanced pancreatic cancer experienced escalating pain and inappropriate opioid prescriptions, highlighting the shortcomings of traditional pain management approaches.Despite procedural intervention by the attending physician and increased opioid dosages, the patient’s condition deteriorated. Subsequently, the involvement of a hospice consultation team, in conjunction with collaborative psychiatric care, led to an overall improvement. The case underscores the necessity of early hospice engagement, psychosocial assessments, and collaborative approaches in the optimization of patient-centered palliative care.

This case report explores the challenges and complexities associated with opioid management of cancer pain, emphasizing the importance of early involvement of a hospice consultation team and the adoption of a multidisciplinary approach to care. A 56-year-old man with advanced pancreatic cancer experienced escalating pain and inappropriate opioid prescriptions, highlighting the shortcomings of traditional pain management approaches.Despite procedural intervention by the attending physician and increased opioid dosages, the patient’s condition deteriorated. Subsequently, the involvement of a hospice consultation team, in conjunction with collaborative psychiatric care, led to an overall improvement. The case underscores the necessity of early hospice engagement, psychosocial assessments, and collaborative approaches in the optimization of patient-centered palliative care.

This case report explores the challenges and complexities associated with opioid management of cancer pain, emphasizing the importance of early involvement of a hospice consultation team and the adoption of a multidisciplinary approach to care. A 56-year-old man with advanced pancreatic cancer experienced escalating pain and inappropriate opioid prescriptions, highlighting the shortcomings of traditional pain management approaches.Despite procedural intervention by the attending physician and increased opioid dosages, the patient’s condition deteriorated. Subsequently, the involvement of a hospice consultation team, in conjunction with collaborative psychiatric care, led to an overall improvement. The case underscores the necessity of early hospice engagement, psychosocial assessments, and collaborative approaches in the optimization of patient-centered palliative care.

This case report explores the challenges and complexities associated with opioid management of cancer pain, emphasizing the importance of early involvement of a hospice consultation team and the adoption of a multidisciplinary approach to care. A 56-year-old man with advanced pancreatic cancer experienced escalating pain and inappropriate opioid prescriptions, highlighting the shortcomings of traditional pain management approaches.Despite procedural intervention by the attending physician and increased opioid dosages, the patient’s condition deteriorated. Subsequently, the involvement of a hospice consultation team, in conjunction with collaborative psychiatric care, led to an overall improvement. The case underscores the necessity of early hospice engagement, psychosocial assessments, and collaborative approaches in the optimization of patient-centered palliative care.

Hospitalists are specialists in inpatient care who aim to improve patient safety and quality of care. Accordingly, hospitalist research focuses on patient safety and quality improvement (QI). Major hospital medicine journals publish studies on patient safety and QI. This review introduces the latest research related to patient safety and QI research in the field of hospital medicine.

The peer review process ensures the integrity of scientific research. This is particularly important in the medical field, where research findings directly impact patient care. However, the rapid growth of publications has strained reviewers, causing delays and potential declines in quality. Generative artificial intelligence, especially large language models (LLMs) such as ChatGPT, may assist researchers with efficient, high-quality reviews. This review explores the integration of LLMs into peer review, highlighting their strengths in linguistic tasks and challenges in assessing scientific validity, particularly in clinical medicine. Key points for integration include initial screening, reviewer matching, feedback support, and language review. However, implementing LLMs for these purposes will necessitate addressing biases, privacy concerns, and data confidentiality. We recommend using LLMs as complementary tools under clear guidelines to support, not replace, human expertise in maintaining rigorous peer review standards.

The peer review process ensures the integrity of scientific research. This is particularly important in the medical field, where research findings directly impact patient care. However, the rapid growth of publications has strained reviewers, causing delays and potential declines in quality. Generative artificial intelligence, especially large language models (LLMs) such as ChatGPT, may assist researchers with efficient, high-quality reviews. This review explores the integration of LLMs into peer review, highlighting their strengths in linguistic tasks and challenges in assessing scientific validity, particularly in clinical medicine. Key points for integration include initial screening, reviewer matching, feedback support, and language review. However, implementing LLMs for these purposes will necessitate addressing biases, privacy concerns, and data confidentiality. We recommend using LLMs as complementary tools under clear guidelines to support, not replace, human expertise in maintaining rigorous peer review standards.

The peer review process ensures the integrity of scientific research. This is particularly important in the medical field, where research findings directly impact patient care. However, the rapid growth of publications has strained reviewers, causing delays and potential declines in quality. Generative artificial intelligence, especially large language models (LLMs) such as ChatGPT, may assist researchers with efficient, high-quality reviews. This review explores the integration of LLMs into peer review, highlighting their strengths in linguistic tasks and challenges in assessing scientific validity, particularly in clinical medicine. Key points for integration include initial screening, reviewer matching, feedback support, and language review. However, implementing LLMs for these purposes will necessitate addressing biases, privacy concerns, and data confidentiality. We recommend using LLMs as complementary tools under clear guidelines to support, not replace, human expertise in maintaining rigorous peer review standards.

Background and Objectives: The aim of this study was to investigate the surgical outcomes of revision operation due to recurrence of non-cholesteatomatous chronic otitis media (COM) surgery cases.Subjects and Method From 1989 to 2018, 5197 cases of COM surgery were performed at Kangdong and Hallym University Sacred Heart Hospital. Among them, clinical data of 297 subjects who had undergone revision tympanoplasty and/or mastoidectomy for recurrent noncholesteatomatous COM were retrospectively collected from computerized database of middle ear surgery (Korean Otological Society program 2005). Each case was categorized by surgical approaches into canal wall down mastoidectomy (CWDM), canal wall up mastoidectomy (CWUM), or tympanoplasty only groups. Results: Tympanoplasty only was performed in 170 cases, CWDM in 74 cases, and CMUM in 53 cases. Postoperative perforation occurred in 9.4% of total cases, and less frequently in CMDM compared with tympanoplasty only (p=0.023), and CMUM (p=0.049), respectively, whereas no differences between tympanoplasty only and CMUM (p=0.930) were found. Postoperative infection rate was 1.0% and did not show any differences among the groups. Postoperative successful hearing was obtained in 66.7% of total cases, and the success rate of tympanoplasty only was better than that of CMDM (p=0.001), and CMUM (p=0.011). And, that of CMUM was better than that of CMDM (p=0.011). Conclusion The results showed that postoperative perforation occurred less frequently in CMDM than in tympanoplasty only and in CWUM; successful hearing was achieved more frequently in tympanoplasty alone than in the other surgical approaches in recurrent non-cholesteatomatous COM.

Objective: The aim of the present study was to determine whether polycystic ovarian morphology (PCOM) is related to insulin resistance in women with polycystic ovary syndrome (PCOS). Methods: A total of 147 Korean women aged 18 to 35 years and diagnosed with PCOS were included in this study. Fasting blood tests and standard 2-hour 75-g oral glucose tolerance tests were performed for all participants. PCOM-related parameters including total antral follicle count (TFC) and total ovarian volume (TOV) were assessed using transvaginal or transrectal ultrasonography. Correlation analysis was conducted to assess the relationships of TFC and TOV with insulin resistance-related clinical and biochemical parameters using Spearman rank correlation coefficients and linear regression analysis, with partial correlations used to control for the effects of confounding covariates. Results: Fasting insulin levels, low-density lipoprotein levels, and insulin sensitivity assessment indices (ISAIs) were significantly correlated with TFC, but neither postprandial blood glucose levels nor insulin levels were significantly associated with TFC. No insulin resistance-related parameter was significantly correlated with TOV. These results did not change after adjustments for other anthropometric covariates. Fasting insulin and some ISAIs differed significantly between groups categorized by the median TFC value (TFC ≤54 and TFC >54). Conclusion TFC, but not TOV, was found to be related to fasting insulin resistance-related parameters in women with PCOS.