Aim: To enhance outcomes for patients with pulmonary arterial hypertension (PAH), comprehensive and individualized therapy is needed. A large language model called Generative Pre-trained Transformer (ChatGPT) has the ability to provide expert yet patient-friendly care. We wanted to determine how well ChatGPT could accurately and consistently respond to inquiries on knowledge and management for PAH. Materials and methods: When 20 PAH patients were diagnosed, they were asked what concerns they had about PAH and what they had researched online. In the evaluation, it was determined that patients frequently searched the Internet for answers to eight queries. These eight queries were posed to ChatGPT, and their responses were recorded. Ten experts in the field of PAH assessed the trustworthiness, value, and hazard of the answers generated by the ChatGPT. Results: According to evaluations conducted by experts, the ChatGPT-generated responses were deemed trustworthy with an average score of 8.4 (7.7-9.2) and valuable with an average score of 7.9 (7.4-8.2). Based on the statistical analysis, it can be inferred that most professionals believed that the utilization of prompts provided by ChatGPT did not present a substantial risk, with a mean of 2.1 (1.7-2.5). The answers were assessed for readability using two different indicators, namely the Flesch-Kincaid Grade Level (FKGL) and the Simple Measure of Gobbledygook (SMOG). The average FKGL value was determined to be 13.52 ± 2.40, indicating a "difficult" level of readability. Conclusion: ChatGPT provides reliable PAH-related information, but it is important to seek professional medical advice before making any decisions regarding PAH. ChatGPT can only provide general information and support, but a qualified healthcare provider can offer tailored recommendations.

Background: Education is very important to prevent occupational injuries and accidents, which are almost all completely preventable. The aim of this study was to evaluate training videos on this subject on the YouTube platform. Methods: Six search terms related to occupational health and safety (OHS) were scanned on May 31, 2021. After the application of exclusion criteria, a total of 176 videos were included for final analysis using the parameters of country origin, source of the video, content, number of views, comments, likes, dislikes, and video duration. The Global Quality Scale (GQS) and modified DISCERN tools were used to evaluate the quality and reliability of the videos in this analytical cross-sectional study. Results: According to the GQS score, 111 (63.1%) videos were of low quality. Statistically significant differences were found between the low-, moderate-, and high-quality groups with respect to video length, likes, dislikes, comments, likes per day, dislikes per day, comments per day, video category, and the DISCERN scores (P < 0.05). The vast majority of videos contained low-quality information. A large number of videos were uploaded on OHS content from independent users and the USA. Conclusion: There is a clear need for professionals to play a more active role in uploading and sharing high-quality information on Internet platforms on the subject of OHS.

Retraction is the act of withdrawing an academic article. The aim of this study was to comprehensively evaluate retracted publications on hypertension, one of the most prevalent chronic diseases worldwide. A search strategy was conducted in the Web of Science database. Information such as publication and retraction dates, the duration between them, the journal, the document type, the country of corresponding author, the reason for retraction and the requesting party, and the citation count were recorded. Trend analysis was used to illustrate the evolution of retracted papers over the years. The median duration of retracted papers was 681 days, with a median citation count of 6. The number of retracted publications has tended to increase over the years. The most frequently identified reasons for retraction were errors, fraud, and peer review issues. A total of 33.0% of the manuscripts mentioned funding. In terms of country distribution, China led with 29.1% retracted papers, followed by Japan and the USA. These findings underscore the detrimental impact of the length and increasing number of retraction periods on the reliability of the literature. Additionally, it highlights that this is a global issue prevalent among researchers’ publications in different countries, emphasizing the need for universal attention to scientific publication ethics and research standards.