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Summary:To evaluate the feasibility of reduced intensity stem cell transplantation (RIST) with bone marrow from a matched unrelated donor (MUD), we retrospectively investigated 20 patients with hematological disorders who received RIST in the Tokyo SCT consortium from January 2000 to October 2002. The preparative regimens were fludarabine-based (150-180?mg/m2, n=18) or cladribine-based (0.77?mg/kg, n=2). To enhance engraftment, antithymocyte globulin (ATG) and 4 or 8?Gy total body irradiation (TBI) were added to these regimens in nine and 11 patients, respectively. GVHD prophylaxis was cyclosporine with or without methotrexate. In all, 19 achieved primary engraftment. Three developed graft failure (one primary, two secondary), and five died of treatment-related mortality within 100 days of transplant. Seven of the 19 patients who achieved initial engraftment developed grade II-IV acute GVHD, and seven of 13 patients who survived >100 days developed chronic GVHD. At a median follow-up of 5.5 months, estimated 1-year overall survival was 35%. Compared with a TBI-containing regimen, an ATG-containing regimen was associated with a high risk of graft failure (30 vs 0%, P=0.0737). This study supports the feasibility of RIST from MUD; however, procedure-related toxicities remain significant in its application to patients.Bone Marrow Transplantation (2004) 33, 697-702. doi:10.1038/sj.bmt.1704425 Published online 2 February 2004 [ABSTRACT FROM AUTHOR]

Introduction: ChatGPT, a large-scale language model, is a notable example of AI's potential in health care. However, its effectiveness in clinical settings, especially when compared to human physicians, is not fully understood. This study evaluates ChatGPT's capabilities and limitations in answering questions for Japanese internal medicine specialists, aiming to clarify its accuracy and tendencies in both correct and incorrect responses., Methods: We utilized ChatGPT's answers on four sets of self-training questions for internal medicine specialists in Japan from 2020 to 2023. We ran three trials for each set to evaluate its overall accuracy and performance on nonimage questions. Subsequently, we categorized the questions into two groups: those ChatGPT consistently answered correctly (Confirmed Correct Answer, CCA) and those it consistently answered incorrectly (Confirmed Incorrect Answer, CIA). For these groups, we calculated the average accuracy rates and 95% confidence intervals based on the actual performance of internal medicine physicians on each question and analyzed the statistical significance between the two groups. This process was then similarly applied to the subset of nonimage CCA and CIA questions., Results: ChatGPT's overall accuracy rate was 59.05%, increasing to 65.76% for nonimage questions. 24.87% of the questions had answers that varied between correct and incorrect in the three trials. Despite surpassing the passing threshold for nonimage questions, ChatGPT's accuracy was lower than that of human specialists. There was a significant variance in accuracy between CCA and CIA groups, with ChatGPT mirroring human physician patterns in responding to different question types., Conclusion: This study underscores ChatGPT's potential utility and limitations in internal medicine. While effective in some aspects, its dependence on question type and context suggests that it should supplement, not replace, professional medical judgment. Further research is needed to integrate Artificial Intelligence tools like ChatGPT more effectively into specialized medical practices., (© 2024 John Wiley & Sons Ltd.)

Introduction Foreign residents in Japan often face challenges accessing healthcare due to language barriers, potentially leading to health inequities. This study aimed to assess the utilization and impact of human-mediated translation services in a specific medical setting in Tokyo. Methods A retrospective investigation was conducted on medical records of foreign patients who utilized human-mediated translation services at Navitas Clinic Tachikawa (Tachikawa, Tokyo, Japan) from November 2017 to December 2021. Data on age, gender, language used, department visited, diagnosis, insurance status, and booking methods were analyzed. Results Out of the 124 foreign patients who utilized the human-mediated translation services during the study period, 69 (56%) were male, and 55 (44%) were female. The median age was 35 years, with a range from 3 to 61 years. English was the predominant language used by 34 patients (59%), followed by Chinese for nine patients (16%) and Spanish for four patients (7%). The majority, 107 patients (86%) visited the internal medicine department, nine patients (7%) consulted dermatology, and six patients (5%) visited pediatrics. Regarding insurance status, 47 patients (81%) were insured, three patients (5%) were uninsured by the Japanese national health insurance system, and eight patients (14%) were self-pay. The primary mode of appointment booking was at the reception desk, with 112 patients (90%) using this method, while 12 patients (10%) made reservations online. Conclusions The findings of this study underscore the importance of human-mediated translation services for improving healthcare accessibility for foreign residents in Japan, emphasizing the need to address language barriers and promote health equity in clinical settings. Future studies should also explore challenges faced in patient-physician interactions from a linguistic perspective and potential technological solutions to enhance these services., Competing Interests: The authors have declared financial relationships, which are detailed in the next section., (Copyright © 2023, Kaneda et al.)

Artificial intelligence (AI), particularly ChatGPT, developed by OpenAI (San Francisco, CA, USA), is making significant strides in the medical field. In a simulated case study, a 66-year-old Japanese female patient's dialogue with a physician was transcribed and inputted into ChatGPT to assess its efficacy in drafting medical records, formulating differential diagnoses, and establishing treatment plans. The results showed a high similarity between the medical summaries generated by ChatGPT and those of the attending physician. This suggests that ChatGPT has the potential to assist physicians in clinical reasoning and reduce the administrative burden, allowing them to spend more time with patients. However, there are limitations, such as the system's reliance on linguistic data and occasional inaccuracies. Despite its potential, the ethical implications of using patient data and the risk of AI replacing clinicians emphasize the need for continuous evaluation, rigorous oversight, and the establishment of comprehensive guidelines. As AI continues to integrate into healthcare, it is crucial for physicians to ensure that technology complements, rather than replaces, human expertise, with the primary focus remaining on delivering high-quality patient care., Competing Interests: The authors have declared financial relationships, which are detailed in the next section., (Copyright © 2023, Kaneda et al.)

Competing Interests: Dr. Ozaki received personal fees from Medical Network Systems outside the scope of the submitted work; Dr. Tanimoto received personal fees from Medical Network Systems and Bionics Co. Ltd. outside the scope of the submitted work.

Influenza vaccination is necessary to reduce severe influenza complications, especially in immunocompromised people such as cancer patients. However, few studies have examined influenza vaccination uptake among adult Japanese patients with cancer; their attitudes toward vaccination, as well as factors related to vaccine hesitancy, are unclear. From September 1 to October 31, 2020, we disseminated a web-based questionnaire to patients with a history of cancer via snowball sampling through e-mails and social media of two Japanese cancer patients associations. A total of 163 surveys were completed. One hundred (61.3%) participants received an influenza vaccination in the 2019/2020 season, and the main reasons for vaccination were as follows: recommendation by medical professionals, positive awareness of vaccination through books or the internet, and provision of vaccination in the workplace. The main reasons for not receiving a vaccination were fear of adverse events, lack of concern about influenza infection, and lack of trust in vaccine effectiveness. In terms of the 2020/2021 season, 120 participants (73.6%) reported their intention to receive an influenza vaccination. Multiple regression analysis showed that significant factors for positive intention were the the treatment without chemotherapy ( p = .009), vaccination history in the 2019/2020 season ( p < .001), prior experience of influenza infection ( p = .043), and the perception that influenza vaccination was more important due to the coronavirus disease pandemic ( p = .050). This preliminary survey revealed a relatively modest influenza vaccine coverage among adult Japanese patients with cancer and identified several factors related to positive intention toward vaccination.

Introduction: The cause of the syphilis resurgence in Japan is still unknown. In this study, we hypothesized that the spread of mobile dating software for use on mobile phones might have contributed to it. We investigated possible contributing factors of the syphilis resurgence in Japan., Methods: We retrieved the number of reported cases of syphilis, human immunodeficiency virus infection, carbapenem-resistant Enterobacteriaceae infection, invasive Streptococcus pneumoniae infection, general population, foreign national residents, international overnight guests, detachment-type sex trade shops, physician density, and smartphone penetration rate at the prefectural level in 2017. We also obtained the number of three major dating app users in each prefecture. Using them, we performed association analyses., Results: The median of syphilis incidence per 100,000 prefectural population was 2.34 (range 0.72 to 12.90). The values of Spearman's rank correlation coefficients between syphilis incidence and app penetration rates were 0.59 (p < 0.001) for app 1, 0.57 (p < 0.001) for app 2, and 0.56 for app 3 (p < 0.001). The values of correlation coefficient between syphilis incidence and prefectural population (0.50, p < 0.001), foreign national residents per prefectural population (0.46, p = 0.001), and smartphone penetration rate (0.54, p < 0.001) were significant, while international overnight guests per prefectural population (0.19, p = 0.19), sex trade shops (0.24, p = 0.10), and physician density (0.10, p = 0.52) were not. In the multiple regression analyses, the contents of an optimized model included the following two factors: for app 1 penetration rate (0.39, p < 0.001) and the number of sex trade shops per prefectural population (0.18, p = 0.008) with the adjusted R-squared value 0.49 and F value 22.97 (p < 0.001)., Conclusions: Dating app penetration rate was significantly associated with syphilis incidence. The popularization of social media is a possible contributing factor in the syphilis resurgence in Japan. Information concerning the use of social media should be included in future studies on transmission and prevention of sexually transmitted infections., Competing Interests: KY received personal fees from Nagatanien and Rohto Pharmaceutical, outside the submitted work; EK received personal fees from Daiichi-Sankyo, outside the submitted work; TT received personal fees from MNES Inc., outside the submitted work., (Copyright © Japan Medical Association.)