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Background: Traditional Chinese medicine development policies (TCMDPs) are essential in improving the sustainable development of TCM undertakings, of which transmissions of policy information are closely related to the actual policy effectiveness. However, the inherent components of TCMDPs had not been explored from the structural dimension of policy design.
Methods: Based on the policy modeling consistency (PMC) index model, we constructed a comprehensive evaluation system, including ten first-level and 40 second-level indicators, and focused on the TCMDPs released by the Chinese central government in the past 42 years (1980-2022) to conduct multi-dimensional inspections to TCMDPs by analyzing the overall policy quality, individual scoring performance, and indicators distribution characteristics.
Results: This study pointed out that four policies were rated as "perfect," 35 were rated as "superb," 50 were rated as "excellent," 28 were rated as "good," and four were rated as "acceptable," with total mean values of the PMC index being 7.530 ± 0.835. Although most TCMDPs had appropriate policy structure and consistency, the potential weaknesses in the design of TCMDPs also needed our attention through careful checks on the outlier policy samples. Besides, the existing TCMDPs had room for improvement regarding policy areas, guarantees and incentives, objects included, and issuing agencies.
Conclusions: We emphasized that the policy evaluation method used in this current study, the PMC index model, is scarce in the TCMDPs. These findings are helpful for fully understanding the strengths and weaknesses of TCMDPs and provide theoretical references for further studies optimizing TCMDPs.
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http://dx.doi.org/10.3389/fpubh.2022.1041528 | DOI Listing |
Eur J Pharmacol
September 2025
Cardiovascular Center of Excellence, Louisiana State University Health Sciences Center, New Orleans, Louisiana, 70112, USA; Department of Pharmacology & Experimental Therapeutics, New Orleans, LA, 70112 USA; Southeast Louisiana Veterans Health Care System, New Orleans, LA 70119, USA. Electronic addr
The renin-angiotensin system (RAS) is central to cardiovascular diseases such as hypertension and cardiomyopathy, yet the functions of many RAS genes remain unclear. This study developed a multi-label deep learning model to systematically annotate RAS gene functions and elucidate their roles in biological pathways. A total of 39,463 RAS-related publications from PubMed and PMC were processed into text format.
View Article and Find Full Text PDFFront Public Health
September 2025
School of Sport Management, Shandong Sport University, Jinan, China.
Introduction: A lack of physical activity is widely regarded as an important factor contributing to the increase in non-communicable diseases and mortality rates. To improve the physical fitness and health levels of its citizens, the Chinese government has launched the National Fitness Program (NFP) to promote public health and well-being. However, the mechanisms and performance of these policies in promoting public health still require further exploration.
View Article and Find Full Text PDFBMC Public Health
September 2025
Research Institute for Sustainable Development (IRD) EMR 271, University of Bordeaux, National Institute for Health and Medical Research (INSERM), UMR 1219, Bordeaux Population Health Research Centre, Bordeaux, France.
Background: Malaria remains a major health challenge in sub-Saharan Africa, especially for children under five. The World Health Organization (WHO) recommends perennial malaria chemoprevention (PMC) to children in areas of medium to high perennial transmission. In Togo, since 2022, a pilot project has leveraged the Expanded Program on Immunization (EPI) to deliver PMC to children under two years; however, the extent to which PMC achieves its desired outcome may depend on EPI performance.
View Article and Find Full Text PDFCurr Atheroscler Rep
September 2025
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Purpose Of Review: To define the emerging role of artificial intelligence-enhanced electrocardiography (AI-ECG) in advancing population-level screening for atherosclerotic cardiovascular disease (ASCVD), we provide a comprehensive overview of its role in predicting major adverse cardiovascular events and detecting subclinical coronary artery disease. We also outline the clinical, methodological, and implementation challenges that must be addressed for widespread adoption.
Recent Findings: State-of-the-art AI-ECG models exhibit high accuracy, correctly re-classifying patients deemed 'low risk' by traditional risk models.
Skeletal Radiol
September 2025
The Medical School, The University of Sheffield, Sheffield, South Yorkshire, UK.
Objectives: EOS bi-planar imaging enables three-dimensional (3D) reconstructions of the spine and pelvis with segmental vertebral measurements in three planes from a neutral pelvis. This study evaluates the repeatability of these measurements and the accuracy in detecting true changes.
Methods: Twenty patients from four clinical backgrounds (surgical threshold, bracing threshold, micro-dose, and in-brace) were included.