Evidence-based Chinese medicine is a relatively new discipline which applies the concepts and methods of evidence-based medicine (EBM) to the clinical research and practice of Chinese medicine. It is not only a branch of EBM but also a natural product of the development of Chinese medicine. This paper introduces the theoretical concepts of evidence-based Chinese medicine and reviews the process of its development. It then elucidates the main characteristics of evidence-based Chinese medicine, emphasizes its holistic approach, prescription-syndrome relationship, and its human-centered approach. Research contents and status quo are also summarized to point out the challenges of the production and application of evidence. Finally, we innovatively indicate further research directions on combining individual-based research with population-based research and developing narrative EBM.
Chronic obstructive pulmonary disease (COPD) is one of the common chronic airway disorders, which accounts for the third to fourth cause of death worldwide. Recently, the focuses of researches are on the multi-factorial risks for development of COPD, mechanisms related to COPD development, early detection and early intervention of COPD, individualized use of long-term maintenance medications as well as phenotypes of acute exacerbation of COPD and their corresponding management. There are huge amount of COPD patients with variety of risk factors or different phenotypes in China, which makes it possible to establish a network for cohort study or real life registration study of COPD. The results will provide new information on the characteristics of COPD in China. Individualized treatment could be recommended according to the phenotypes or endotypes information. All these new findings or progresses could provide impetus for improvement of the ability of research and clinical management of COPD to the worldwide top level.
In the process of evidence-based practice, the evaluation of evidence applicability relied on the subjective judgment of clinicians, while the systematic method of which was still in lack. The complex clinical information of traditional Chinese medicine (TCM) enhanced the uncertainty and risk of applying evidence. Based on the analysis of the process of evidence-based practice, this paper introduced the method of TCM evidence applicability evaluation and used the raw data of clinical trials to develop a clinical prediction model to enable the assessment of the evidence applicability on individual patients. The establishment of individual evidence applicability evaluation method could promote the rational application of TCM evidence in the long term.
ObjectiveTo explore the application effect of the individualized preoperative visit to the da Vinci Robotic lobectomy patients. MethodSixty lobectomy patients with 34 males and 26 females at age of 29 to 78 (58.4±12.4) years were divided into two groups according to the order of their medical treatment in our hospital between June 2014 and December 2014. In the control group we used conventional reoperative visit method, while in the observation group we used individualized preoperative visit method. And the rehabilitation effects of the two groups were compared. ResultsPostoperative drainage tube time (6.17±1.34 d vs. 7.13±1.17 d, P=0.004) and length of hospital stay (7.13±1.17 d vs. 8.37±1.92 d, P=0.004) were significantly shorter in the observation group than those in the control group. Postoperative pain score was significantly lower in the observation group than that in the control group (0.87±0.73 points vs. 2.60±0.81 points, P=0.000). Also in the observation group the patients had a higher degree of satisfaction with a statistical difference (P<0.05). ConclusionIndividualized preoperative visit relieves patients' concern of the effect of the robotic operation, effectively reduces the psychological pressure of patients, strengthens the confidence of patients to overcome the disease, so that patients can actively cooperate with the operation, which promote postoperative rehabilitation.
ObjectiveTo suggest the importance of taking notice of oral chemotherapy drugs in cancer patients, and the importance of drug-use evaluation in patients with insufficient kidney functions, by reporting one death case caused by multiple organ failure because of myelosuppression after oral tegafur, gimeracil and oteracil potassium (S-1) capsules for 10 days in a patient with insufficient kidney functions. MethodsThrough the analysis of one patient who died of multiple organ failure due to degree-Ⅳ myelosuppression and the related literature review, we discussed the necessity of individualized administration of clinical chemotherapy. ResultsThe patient had grade-Ⅱ renal insufficiency before chemotherapy and did not undergo dihydropyrimidine dehydrogenase (DPYD) gene test. Myelosuppression occurred 10 days after oral chemotherapy drugs. The white blood cells, neutrophils and platelets decreased progressively, and then developed into degree-Ⅳ suppression. Finally the patient died of multiple organ failure. Conclusions Genetic variation and renal insufficiency may cause differences in drug metabolism. The reduced urinary excretion of guimet pyrimidine (CDHP), the inhibitors of dihydropyrimidine dehydrogenase which is the 5-fluorouracil (5-FU) metabolic enzyme, may lead to elevated plasma concentration of 5-FU, thereby increasing myelosuppression and other adverse reactions. If DPYD gene detection results show low enzyme activity, it can cause lethal toxicity through deceleration of 5-FU metabolism and high concentration of blood. DPYD gene dzetection should be performed if allowed, and individualized treatment plan should be formulated after comprehensive evaluation. The overall situation of the patients should be considered before treatment, and then individualized drugs should be administered.
The iodine-125 (125I) seeds interstitial implantation has the advantages of minimal invasiveness, high local control rate, and few complications; it has attracted worldwide attention. With the application of 3D printing technology in medicine, individualized 3D templates are gradually applied to clinical practice. Individualized 3D templates combining with CT-guided 125I seeds implantation are easy to operate and can not only effectively ensure the consistency and accuracy of preoperative and postoperative dose, but also minimize complications to achieve optimal efficacy. This paper reviews the application of CT-guided implantation of 125I seeds for malignant tumors assisted by individualized 3D template, and further demonstrates the safety and effectiveness of clinical application in 125I seeds implantation to provide a reliable basis for the standardization of 125I seeds implantation.
ObjectiveTo study the feasibility of preparation of the individualized femoral prosthesis through computer assisted design and electron beammelting rapid prototyping (EBM-RP) metal three-dimensional (3D) printing technology. MethodsOne adult male left femur specimen was used for scanning with 64-slice spiral CT; tomographic image data were imported into Mimics15.0 software to reconstruct femoral 3D model, then the 3D model of individualized femoral prosthesis was designed through UG8.0 software. Finally the 3D model data were imported into EBM-RP metal 3D printer to print the individualized sleeve. ResultsAccording to the 3D model of individualized prosthesis, customized sleeve was successfully prepared through the EBM-RP metal 3D printing technology, assembled with the standard handle component of SR modular femoral prosthesis to make the individualized femoral prosthesis. ConclusionCustomized femoral prosthesis accurately matching with metaphyseal cavity can be designed through the thin slice CT scanning and computer assisted design technology. Titanium alloy personalized prosthesis with complex 3D shape, pore surface, and good matching with metaphyseal cavity can be manufactured by the technology of EBM-RP metal 3D printing, and the technology has convenient, rapid, and accurate advantages.
ObjectiveTo explore the effect of individualized health education prescription on glycemic control in out-patients with diabetes. MethodBetween January and May 2014, seventy-three out-patients with diabetes were given individualized health education prescription for 6 months. The we observed the change of HbA1c level, HbA1c standard rate and medication compliance of the patients. ResultsBefore the use of individualized health education prescription, HbA1c was (8.10±1.86)%, and HbA1c was (6.55±1.26)% after the intervention (P<0.001). HbA1c standard rate (72.6%) and medication compliance (the number of patients with high, medium, and poor compliance was 36, 27, and 10, respectively) after the intervention were both significantly better than those before (16.4%; 12, 42, and 19) the intervention (P<0.001). ConclusionsEducation prescription is effective in the management of blood glucose for patients with diabetes.
Objective To explore the value of chemosensitivity assay in vitro on breast cancer. Methods In vitro chemosensitivity of 6 species of chemotherapeutic agents applied to 38 cases of breast cancer patients were detected by tissue culture-end point staining-computer image analysis (TECIA). Results The sensitivity to chemotherapeutic agents commonly used in the breast cancer level from high to low was as follow: Doxorubicin (ADM), Paclitaxel (TAX), Vinorelbine (NVB), Cyclophosphamide (CTX), Cisplatin (DDP) and Fluorouracil (FU). Conclusion Drugs sensitivity experiment of cancer in vitro by TECIA has an important value to instruct clinical medication and individual chemotherapy for breast cancer.
Aiming at the problem of low recognition accuracy of motor imagery electroencephalogram signal due to individual differences of subjects, an individual adaptive feature representation method of motor imagery electroencephalogram signal is proposed in this paper. Firstly, based on the individual differences and signal characteristics in different frequency bands, an adaptive channel selection method based on expansive relevant features with label F (ReliefF) was proposed. By extracting five time-frequency domain observation features of each frequency band signal, ReliefF algorithm was employed to evaluate the effectiveness of the frequency band signal in each channel, and then the corresponding signal channel was selected for each frequency band. Secondly, a feature representation method of common space pattern (CSP) based on fast correlation-based filter (FCBF) was proposed (CSP-FCBF). The features of electroencephalogram signal were extracted by CSP, and the best feature sets were obtained by using FCBF to optimize the features, so as to realize the effective state representation of motor imagery electroencephalogram signal. Finally, support vector machine (SVM) was adopted as a classifier to realize identification. Experimental results show that the proposed method in this research can effectively represent the states of motor imagery electroencephalogram signal, with an average identification accuracy of (83.0±5.5)% for four types of states, which is 6.6% higher than the traditional CSP feature representation method. The research results obtained in the feature representation of motor imagery electroencephalogram signal lay the foundation for the realization of adaptive electroencephalogram signal decoding and its application.