Search

Background. Traditional Chinese medicine (TCM) is an individualized medicine by observing the symptoms and signs (symptoms in brief) of patients. We aim to extract the meaningful herb-symptom relationships from large scale TCM clinical data. Methods. To investigate the correlations between symptoms and herbs held for patients, we use four clinical data sets collected from TCM outpatient clinical settings and calculate the similarities between patient pairs in terms of the herb constituents of their prescriptions and their manifesting symptoms by cosine measure. To address the large-scale multiple testing problems for the detection of herbsymptom associations and the dependence between herbs involving similar efficacies, we propose a network-based correlation analysis (NetCorrA) method to detect the herb-symptom associations. Results. The results show that there are strong positive correlations between symptom similarity and herb similarity, which indicates that herb-symptom correspondence is a clinical principle adhered to by most TCM physicians. Furthermore, the NetCorrA method obtains meaningful herb-symptom associations and performs better than the chi-square correlation method by filtering the false positive associations. Conclusions. Symptoms play significant roles for the prescriptions of herb treatment. The herb-symptom correspondence principle indicates that clinical phenotypic targets (i.e., symptoms) of herbs exist and would be valuable for further investigations. physicians can encourage the development of novel clinical prescriptions and the detection of effective empirical TCM clinical therapies [1]. In recent years, data mining methods have been widely applied to TCM clinical data for various clinical knowledge discoveries like syndrome differentiation, herb combination regularity, and patient clustering [2]. It is a significant task in TCM research to establish a data driven TCM clinical medicine research model based on real-world practices [3]. Given that there exist rich empirical and theoretical knowledge underlying TCM data, it is hoped that data mining would help the extraction of reliable and novel knowledge from the collected data. [ABSTRACT FROM AUTHOR]

Background: After cancer diagnosis, therapy for the patient is largely dependent on the tumor origin, especially when a metastatic tumor is being treated. However, cases such as untypical metastasis, poorly differentiated tumors or even a limited number of tumor cells may lead to challenges in identifying the origin. Moreover, approximately 3% to 5% of total solid tumor patients will not have to have their tumor origin identified in their lifetime. The THEROS CancerTYPE IDH is designed for identifying the tumor origin with an objective, rapid and standardized procedure. Methodology and Principal Findings: This is a blinded retrospective study to evaluate performance of the THEROS CancerTYPE IDH in a Chinese population. In total, 184 formalin-fixed paraffin-embedded (FFPE) samples of 23 tumor origins were collected from the tissue bank of Fudan University Shanghai Cancer Center (FDUSCC). A standard tumor cell enrichment process was used, and the prediction results were compared with reference diagnosis, which was confirmed by two experienced pathologists at FDUSCC. All of the 184 samples were successfully analyzed, and no tumor specimens were excluded because of sample quality issues. In total, 151 samples were correctly predicted. The agreement rate was 82.1%. A Pearson Chi-square test shows that there is no difference between this study and the previous evaluation test performed by bioTheranostics Inc. No statistically significant decrease was observed in either the metastasis group or tumors with high grades. Conclusions: A comparable result with previous work was obtained. Specifically, specimens with a high probability score (.0.85) have a high chance (agreement rate = 95%) of being correctly predicted. No performance difference was observed between primary and metastatic specimens, and no difference was observed among three tumor grades. The use of laser capture micro-dissection (LCM) makes the THEROS CancerTYPE IDH accessible to almost all of the cancer patients with different tumor statuses. [ABSTRACT FROM AUTHOR]

Objective: The aim of the study was to compare the effects of corticosteroid injection with lidocaine injection in treating tennis elbow. Design: It is a prospective, double-blinded, randomized controlled trial. Patients with tennis elbow for more than 1 mo were recruited from a hospital-based rehabilitation outpatient clinic. A total of 70 patients were recruited, and 61 patients completed the study. Patients received an injection of either 10 mg (1 ml) of triamcinolone (corticosteroid group, n = 30) or 1 ml of 1% lidocaine (lidocaine group, n = 31). All of the outcome measures were evaluated before the intervention and at 2 wks and 2 mos after treatment. Results: No significant group differences were observed between the corticosteroid and lidocaine groups regarding Patient-Rated Tennis Elbow Evaluation, Disability of the Arm, Shoulder, and Hand, visual analog scale for pain, and grip strength at baseline and at 2 wks and 2 mos after treatment (P > 0.05). However, within-group comparison showed significant improvement after injection with regard to Patient-Rated Tennis Elbow Evaluation, Disability of the Arm, Shoulder, and Hand, visual analog scale for pain, and grip strength in both groups (P > 0.05). Conclusions: No differences in the short-term outcomes were found between lidocaine and corticosteroid injection in a small sample of people with tennis elbow with mean duration of 3.8 mos. [ABSTRACT FROM AUTHOR]