Current medical research and opinion
-
Large language models (LLMs) such as ChatGPT-4 have raised critical questions regarding their distinguishability from human-generated content. In this research, we evaluated the effectiveness of online detection tools in identifying ChatGPT-4 vs human-written text. ⋯ The study demonstrates that while automatic detection tools may discern texts generated by ChatGPT-4 significant variability exists in their accuracy. Undoubtedly, there is an urgent need for advanced detection tools to ensure the authenticity and integrity of content, especially in scientific and academic research. However, our findings underscore an urgent need for more refined detection methodologies to prevent the misdetection of human-written content as AI-generated and vice versa.
-
Type 2 Diabetes (T2D) is a major cause of morbidity and mortality. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) are highly effective but underutilized. Our objective was to assess racial/ethnic and other sociodemographic disparities in GLP-1RA/SGLT2i use among US adults with T2D. ⋯ The use of GLP-1RA/SGLT2i drugs increased over time but remained low in March 2020. Higher education and income, but not race/ethnicity, were associated with GLP-1RA/SGLT2i use.
-
This study aimed to critically assess existing risk prediction models for postoperative mortality in older individuals with hip fractures, with the objective of offering substantive insights for their clinical application. ⋯ Subsequent research endeavors should adopt more stringent experimental designs and employ advanced statistical methodologies in the construction of risk prediction models. Moreover, large-scale external validation studies are warranted to rigorously assess the generalizability and clinical utility of existing models, thereby enhancing their relevance as valuable clinical references.
-
Narrative review of the processes of goal setting and goal attainment scaling, as practical approaches to operationalizing and implementing the principles of shared decision making (SDM) in the routine care of people living with major depressive disorder (MDD). ⋯ Goal setting is a pragmatic approach to turning the principles of SDM into realities of clinical practice and aligns with the principles of recovery that encompasses the notions of self-determination, self-management, personal growth, empowerment, and choice. Accumulating evidence supports the use of goal attainment scaling as an appropriate personalized outcome measure for use in clinical trials.
-
Multicenter Study
The two different profiles in heart failure with preserved ejection fraction and type 2 diabetes mellitus: ischemic and diabetic.
Two profiles of patients with heart failure with preserved ejection fraction (HFpEF) and type 2 diabetes mellitus (T2DM) can be discerned: those with ischemic and those with diabetic cardiomyopathy (DMC). We aim to analyze clinical differences and prognosis between patients of these two profiles. ⋯ Patients with T2DM and HFpEF, who had the poorest prognosis, were of two different profiles: either ischemic or DMC etiology. The first had a higher burden of cardiovascular disease and inflammation whereas the second had a higher prevalence of obesity and AF. The first had a slightly poorer prognosis than the second, though this finding was not significant.