ABSTRACT
OBJECTIVE:To optimize the extraction technology of Compound epimedium chewable tablets. METHODS:Using the extraction rate of icariin,the content of crude polysaccharide and yield of extractum as index,the effects of water amount,ex-traction time and extraction times on extraction effect were investigated by orthogonal test. The extraction technology was optimized and validation test was conducted. RESULTS:The optimized extraction technology was as follows as 6-fold water,extracting 3 times,2 h each time. The validation test showed that the average extraction rate of icariin was(83.80±0.02)%,the average con-tent of crude polysaccharide was (29.28 ± 0.55) mg/g,and the average yield of extractum was (28.47 ± 0.29)%(RSD≤0.55%, n=3). CONCLUSIONS:The optimized extraction technology is stable,and can be used for the extraction of Compound epimedi-um chewable tablets.
ABSTRACT
<p><b>BACKGROUND</b>The specificity for early interventions of prostate-specific antigen (PSA) in prostate cancer (PCa) is not satisfactory. It is likely that prostate cancer antigen 3 (PCA3) can be used to predict biopsy outcomes more accurately than PSA for the early detection of PCa. We systematically reviewed literatures and subsequently performed a meta-analysis.</p><p><b>METHODS</b>A bibliographic search in the database of Embase, Medline, Web of Science, NCBI, PubMed, CNKI, and those of health technology assessment agencies published before April 2013 was conducted. The key words used were "prostatic neoplasms", "prostate", "'prostate', 'carcinoma' or 'cancer' or 'tumor', or 'PCa,'" and free terms of "upm3", "pca3", "dd3", "aptimapca 3", and "prostate cancer antigen 3". All patients were adults. The intervention was detecting PCA3 in urine samples for PCa diagnosis. We checked the quality based on the QUADAS criteria, collected data, and developed a meta-analysis to synthesize results. Twenty-four studies of diagnostic tests with moderate to high quality were selected.</p><p><b>RESULTS</b>The sensitivity was between 46.9% and 82.3%; specificity was from 55% to 92%; positive predictive value had a range of 39.0%-86.0%; and the negative predictive value was 61.0%-89.7%. The meta-analysis has heterogeneity between studies. The global sensitivity value was 0.82 (95% CI 0.72-0.90); specificity was 0.962 (95% CI 0.73-0.99); positive likelihood ratio was 2.39 (95% CI 2.10-2.71); negative likelihood ratio was 0.51 (95% CI 0.46-0.86); diagnostic odds ratio was 4.89 (95% CI 3.94-6.06); and AUC in SROC curve was 0.744 1.</p><p><b>CONCLUSION</b>PCA3 can be used for early diagnosis of PCa and to avoid unnecessary biopsies.</p>