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/AIMS: Fibromyalgia (FM) is a common rheumatologic disease characterized by chronic widespread pain, along with various clinical manifestations including atypical autoimmune characteristics. Despite its high prevalence, there remain no approved laboratory tests to identify specific manifestations of FM, or to rule out FM from other rheumatic diseases. Anti-dense fine speckled 70 (anti-DFS70) antibodies were initially identified as a form of anti-nuclear antibodies in a patient with interstitial cystitis. Anti-DFS70 antibodies are found in ≤ 10% of healthy individuals, but have suggestive negative association with autoimmune diseases; however, the clinical significance of these autoantibodies in FM patients remains poorly understood. METHODS: We examined 39 patients with FM, along with 17 patients with systemic lupus erythematosus (SLE), and 19 healthy individuals (HI). Patients were compared based on physical measurements, disease duration, tender point counts, FM Impact Questionnaire (FIQ) scores, visual analog scale (VAS) for pain, somatic symptoms, and anti-DFS70 antibodies. RESULTS: Levels of anti-DFS70 antibodies were significantly higher in the FM and HI groups than in those with SLE. Both anti-DFS70 antibodies and VAS scores were positively correlated with FM. Within the FM group, patients with arthralgia had higher anti-DFS70 antibody values compared to those without arthralgia (p = 0.024); antibody levels were also higher in patients with sleep disturbances relative to those without sleep issues (p = 0.024). In contrast, there were no correlations between anti-DFS70 antibodies and age, body mass index, disease duration, tender point counts, FIQ, short-form health survey results, or other clinical manifestations. CONCLUSIONS Anti-DFS70 antibodies may represent a useful biomarker for differentiating between FM and other autoimmune diseases. The levels of anti-DFS70 antibodies were also significantly higher among patients with arthralgia and sleep disturbances. Further investigations are necessary to evaluate the relationships between anti-DFS70 antibodies and other cytokines as a predictive marker for pain.

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.