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Clinical expertise, patient preference, and the best evidence are the three elements of evidence-based medicine. Based on high-level and high-quality evidence, qualitative and quantitative analysis of the prescribing decisions of physicians is beneficial to improving clinical efficacy. A mature methodological system is available for the retrieval, analysis, summary, evaluation, and recommendation of the evidence, but there are still few studies on physicians' prescribing decisions. How to analyze the trend of physicians' prescribing decisions based on the priority ranking in addition and subtraction of prescriptions? Analytic hierarchy process(AHP) is a method for decision making, which arranges the elements of the decision problem into overall goal, criteria, and operational sub-criteria, and uses the matrix eigenvector method to solve the problem. This study aims to analyze the priority of physicians' prescribing decisions for diabetes mellitus with deficiency of both Qi and Yin based on AHP. To be specific, a database of diabetes mellitus cases with deficiency of both Qi and Yin was established and AHP was used to yield the priority ranking of Chinese patent medicine prescriptions in specific clinical scenarios. In the selected cases of diabetes mellitus with deficiency of both Qi and Yin, Xiaoke Pills was the best prescription for the treatment of type 2 diabetes mellitus(deficiency of both Qi and Yin)(normalized=0.388), followed by Liuwei Dihuang Pills(normalized=0.269), Qishen Capsules(normalized=0.230), and Shengmai Injection(normalized=0.113). According to the analysis the available data, for type 2 diabetes mellitus(deficiency of both Qi and Yin), Xiaoke Pills was the most effective prescription in specific scenarios. When the physicians' prescribing decisions are consistent with the evidence, quantitative analysis of physicians' cognition will boost the evidence-based medical decision-making. However, the research results are also affected by the quality of literature, evidence level and priority, which are thus have some limitations. It is recommended that further small data research based on individual cases be carried out to lay a evidence-based basis for the clinical decision-making of type 2 diabetes mellitus.

Urinary metabolomics combined with histological progression were utilized to evaluate the therapeutic effect of Scutellariae Radix decoction and baicalin on hepatic fibrosis (HF) and explore their mechanisms, intervention targets and metabolic pathways. HF rat model was established through subcutaneous injection of CCl₄ for 8 weeks. Meanwhile, different doses of Scutellariae Radix decoction and baicalin were administered. Histomorphology of liver tissue was observed and scored by HE and Masson. Urinary metabonomic analysis based on UPLC-Q-TOF-MS was made for the changes of urinary potential biomarkers among different groups at different time points of HF. Finally, it was found that Scutellariae Radix decoction could improve HF by regulating L-tryptophan, 3-methyldioxyindole, 5-hydroxyindoleacetylglycine, kynurenic acid, 4-(2-amino-3-hydroxyphenyl)-2,4-dioxobutanoic acid, methylmalonic acid and L-leucine. However, baicalin could improve HF by regulating L-tryptophan, 3-methyldioxyindole, 5-hydroxyindoleacetylglycine, 4-(2-amino-3-hydroxyphenyl)-2,4-dioxobutanoic acid, kynurenic acid, and methylmalonic acid. These metabolites involved in tryptophan metabolism and valine, leucine and isoleucine degradation pathways. These results indicated that Scutellariae Radix had the multi-target and multi-pathway characteristics in the treatment of HF. Additionally, low-dose Scutellariae Radix decoction and baicalin are showed better efficacies, with no statistically significant difference between them in histomorphology., Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose., (Copyright© by the Chinese Pharmaceutical Association.)