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Aim: This study adopted the qualitative research method, aiming to explore the learning experience of nursing graduate professional curricula in China from the perspective of students and provided a basis for the continuous improvement of nursing graduate training. Design: A qualitative study. Methods: A purposive sampling method was employed to conduct semi‐structured in‐depth interviews with 14 nursing master's students enrolled in professional curricula from September 03, 2021, to December 8, 2022. The Colaizzi seven‐step analysis method was utilized for data analysis, summarization and extraction. Results: Four themes emerged from the study findings: (i) The study of professional curricula is the cornerstone of scientific research work, but it is relatively boring; (ii) The teaching methods and assessment methods of postgraduate education need to be diversified; (iii) The postgraduate education needs to increase the study time of specialized courses and highlight the specialty characteristics; (iv) the study of professional curricula can enhance the comprehensive ability of postgraduate students. Conclusion: The study of professional curricula for post‐graduate nursing students plays an important role in the development of post‐graduate research and can statistically significant improve their comprehensive ability, but there are some problems such as boring courses, single teaching assessment methods and insufficient time. In the future teaching reform, it is necessary to highlight the specialty characteristics of nursing scientific research, optimize curriculum education and improve students' scientific research knowledge and thinking. Patient and Public Contributions: We thank all participants for their valuable input throughout the study. [ABSTRACT FROM AUTHOR]

Background: To identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy. Methods: In this cross‐sectional study, patients with lung cancer undergoing drug therapy from October 2022 to July 2023 were enrolled. The data collected includes general demographic characteristics, clinical data characteristics and assessment of tools for cognitive frailty and other factors. Logistic regression was harnessed to determine the influencing factors, R software was used to establish a nomogram model to predict the risk of cognitive frailty. The enhanced bootstrap method was employed for internal verification of the model. The performance of the nomogram was evaluated by using calibration curves, the area under the receiver operating characteristic curve, and decision curve analysis. Results: A total of 372 patients were recruited, with a cognitive frailty prevalence of 56.2%. Age, education background, diabetes mellitus, insomnia, sarcopenia, and nutrition status were identified as independent factors. Then, a nomogram model was constructed and patients were classified into high‐ and low‐risk groups with a cutoff value of 0.552. The internal validation results revealed good concordance, calibration and discrimination. The decision curve analysis presented prominent clinical utility. Conclusions: The prevalence of cognitive frailty was higher in lung cancer patients receiving drug therapy. The nomogram could identify the risk of cognitive frailty intuitively and simply in patients with lung cancer, so as to provide references for early screening and intervention for cognitive frailty at the early phases of drug treatment. [ABSTRACT FROM AUTHOR]