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1.
Heliyon ; 10(12): e33136, 2024 Jun 30.
Article in English | MEDLINE | ID: mdl-39022003

ABSTRACT

Purpose: This study for the first time delves into the intricate relationship between scientific literacy and the acceptance of traditional Chinese medicine (TCM) by employing a multigroup path analysis based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. We adopted Scientific Epistemology Belief (SEB) as an indicator for measuring scientific literacy due to its comprehensive reflection of individuals' understanding of scientific knowledge and knowing. In assessing TCM acceptance, we focused on Chinese parents' receptivity towards pediatric TCM, as it offers a more genuine representation of actual inclinations. Methods: A convenience sample of 1016 Chinese parents in Southern China was assessed using online Likert-scale questionnaires on SEB and UTAUT determinants (including performance expectancy, social influence, risk awareness, and facilitating conditions). A K-means cluster analysis was employed to discern distinct SEB profiles, followed by a multigroup path analysis to ascertain UTAUT model variations across these profiles. Results: Five SEB profiles were identified, namely, intermediate, absolutistic, multiplistic, sophisticated, and evidence-based. Evidence-based believers manifested the highest pediatric TCM acceptance, albeit with elements of blind faith, while multiplistic skeptics, prone to questioning everything, displayed the least acceptance. The absolutistic, intermediate, and sophisticated demonstrated moderate TCM acceptance levels, with the intermediate profile outscoring both absolutistic and sophisticated. These findings highlight that individuals with high scientific literacy do not blindly endorse TCM, nor do those with limited scientific understanding fully appreciate TCM's merits. Conclusion: SEB significantly moderates TCM acceptance factors in the UTAUT model, indicating that extremes in scientific knowledge spectrum result in less balanced TCM perspectives. Our findings pave the way for novel insights into harmonizing modern and traditional medical practices.

2.
Zhongguo Dang Dai Er Ke Za Zhi ; 25(12): 1219-1226, 2023 Dec 15.
Article in Chinese | MEDLINE | ID: mdl-38112138

ABSTRACT

OBJECTIVES: To systematically evaluate the value of the platelet-to-lymphocyte ratio (PLR) in predicting coronary artery lesions (CAL) in Chinese children with Kawasaki Disease (KD). METHODS: A comprehensive search was conducted in databases including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Data, China Biomedical Literature Database, and China Science and Technology Journal Database from inception to December 2022. The quality of the included literature was assessed using the Newcastle-Ottawa Scale, and a Meta analysis was performed using Stata 15.1. RESULTS: A total of ten published reports, involving 3 664 Chinese children with KD, were included in this Meta analysis, of whom 1 328 developed CAL. The Meta analysis revealed a sensitivity of 0.78 (95%CI: 0.71-0.83), specificity of 0.71 (95%CI: 0.61-0.80), overall diagnostic odds ratio of 8.69 (95%CI: 5.02-15.06), and an area under the curve of the summary receiver operating characteristic of 0.82 (95%CI: 0.78-0.85) for PLR in predicting CAL in the children with KD. The sensitivity, specificity, and area under the curve of summary receiver operating characteristic were lower for PLR alone compared to PLR in combination with other indicators. Sensitivity analysis demonstrated the stability of the Meta analysis results with no significant changes upon excluding individual studies. However, a significant publication bias was observed (P<0.001). CONCLUSIONS: PLR demonstrates certain predictive value for CAL in Chinese children with KD.


Subject(s)
Coronary Artery Disease , Mucocutaneous Lymph Node Syndrome , Child , Humans , Mucocutaneous Lymph Node Syndrome/diagnosis , Mucocutaneous Lymph Node Syndrome/pathology , Coronary Vessels/pathology , Lymphocytes , Biomarkers , China , Coronary Artery Disease/etiology , Coronary Artery Disease/pathology
3.
Transl Pediatr ; 11(9): 1534-1543, 2022 Sep.
Article in English | MEDLINE | ID: mdl-36247894

ABSTRACT

Background: This study aimed to determine the main active ingredients of the Ginseng-Gegen (Panax Ginseng-Radix Puerariae) drug pair, to predict relevant action targets, and to establish a network of "drug-active ingredients-targets", to ultimately explore the mechanism of Ginseng-Gegen in the treatment of mesenteric lymphadenitis. Methods: The Traditional Chinese Medicine Systems Pharmacology (TCMSP) platform was used to screen the chemical constituents of Ginseng-Gegen, and the active ingredient targets were retrieved by UniProt database. The databases of GeneCards and the Online Mendelian Inheritance in Man (OMIM) were applied to search for mesenteric lymphadenitis-related targets. Cytoscape software was used to construct the network of active ingredient-action targets. The biological functions of the targets were analyzed in the Database for Annotation, Visualization, and Integrated Discovery (DAVID) database. Results: A total of 26 potential active ingredients of the Ginseng-Gegen drug pair were screened, with 128 drug-related targets and 255 mesenteric lymphadenitis-related targets. After matching, 23 potential targets were obtained for treating mesenteric lymphadenitis. Among them, MOL012297 (puerarin), MOL005344 (ginsenoside Rh2), and MOL000358 (beta-sitosterol) were linked to 3 or more key target genes. They were supposed to be important ingredients of Ginseng-Gegen in the treatment of mesenteric lymphadenitis. Conclusions: Ginseng-Gegen is related to oxidative stress and inflammation, and it is a part of the nuclear factor κB (NF-κB) signaling pathway, tumor necrosis factor (TNF) signaling pathway, and the advanced glycation end products/receptor for advanced glycation end products (AGE-RAGE) signaling pathway. These biological processes and signaling pathways may be potential mechanisms of Ginseng-Gegen for treating mesenteric lymphadenitis.

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