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Four phases of trial are widely used in testing drugs, surgery, and diagnosis in Western medicine (WM). The staged testing process helps protect patients from unnecessary harms and control costs while assessing safety and efficacy. In this paper we adapt the four phase trials for traditional Chinese medicine (TCM). As TCM has been used in humans for thousands of years and there has been good preliminary clinical evidence on safety and efficacy for many of its therapies, in most cases its evaluation can start directly in humans, and preclinical laboratory research can be conducted in phase 4 trials after the efficacy is firmly demonstrated. Furthermore, unlike investigational drugs, TCM therapies are various in the certainty of their safety and efficacy and thus should not enter the evaluation process at the same stage. Unlike in WM, clarifying and refining PICO (patients, intervention, comparator, and outcome) are an important part of evaluation of newly designed TCM therapies. The incommensurability between WM and TCM causes additional difficulties in TCM trials regarding defining and choosing PICO, for which some suggestions are made. Observational studies seem to have a greater role in evaluation for TCM although the efficacy must be confirmed with randomized trials. [ABSTRACT FROM AUTHOR]

Background. The characteristics of treatment based on syndrome differentiation (TBSD) cause great challenges to evaluate the effectiveness of the clinical methods. Objectives. This paper aims to evaluate the influence of physician to personalized medicine in the process of TBSD. Methods. We performed a randomized, triple-blind trial involving patients of primary insomnia treated by 3 physicians individually and independently. The patients (n = 30) were randomly assigned to receive treatments by the 3 physicians for every visit. However, they always received the treatment, respectively, prescribed by the physician at the first visit. The primary outcome was evaluated, respectively, by the Pittsburgh Sleep Quality Index (PSQI) and the TCM symptoms measuring scale. The clinical practices of the physicians were recorded at every visit including diagnostic information, syndrome differentiation, treating principles, and prescriptions. Results. All patients in the 3 groups (30 patients) showed significant improvements (>66%) according to the PSQI and TCM symptoms measuring scale. Conclusion. The results indicate that although with comparable effectiveness, there exist significant differences in syndrome differentiation, the treating principles, and the prescriptions of the approaches used by the 3 physicians. This means that the physician should be considered as an important factor for individualized medicine and the related TCM clinical research. [ABSTRACT FROM AUTHOR]

ChiCTR-TRC-11001263 study was the first large-scale double-blind randomized placebo-controlled traditional Chinese medicines (TCMs) and adefovir (ADV) antihepatitis B virus (HBV) infection trial in the world. A total of 560 hepatitis B e antigen- (HBeAg-) positive Chinese patients with chronical HBV were randomly classified, in 1 : 1 ratio, into two groups: experimental group (EXG) receiving TCMs + ADV and controlled group (CTG) receiving ADV + TCM-placebo treatment for 48 weeks. This paper introduces two models to model and simulate the evolutions of dynamics for the complete-response patients and the poor-response patients in EXG and CTG, respectively. The stimulated mean HBV DNA and alanine aminotransferase (ALT) levels were close to the patients' experimental data. Analysis and simulations suggest that the activated patients' immune functions by TCMs + ADV may not only clear infected hepatocytes, but also clear HBV, which made the complete-response patients' mean serum HBV DNA levels in EXG reduce rapidly 12 weeks' earlier than the ones in CTG. One can assume that both the TCMs and ADV have the function of preventing complete-response patients' infected hepatocytes from being injured by cytotoxic T lymphocytes (CTLs); the patients' activated immune cells may also block HBV replications. [ABSTRACT FROM AUTHOR]