Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Collecting and summarizing human use experience(HUE) data, forming high-quality data and evidences that can be used for evaluation are the key links of HUE research on traditional Chinese medicine(TCM). The collection, collation and summary of human experience data were discussed in this paper. It is pointed out that the collection of HUE should be focus on the source of prescription of new traditional Chinese medicines, and be summarized based on dialectical thinking, experience in medication, characte-ristics of prescription and clinical application. The collected contents include prescription, process, clinical location and applicable population, efficacy data and safety data, etc. The methods include interview, clinical data summary and data mining. When the data formed based on HUE information is used as drug registration information, it is necessary to ensure that the data source is legal and compliant, and the ownership of intellectual property is clear.Data sources should meet the requirements of medical ethics. To avoid conflict of interest, data analysis should be conducted by an independent third party. It is necessary to develop the quality control measures of HUE data to ensure the data traceability, integrity, consistency and accuracy, and avoid data bias.The data of HUE should include the key data such as accurate clinical location and applicable population, recognized clinical efficacy and safety.After the formation of HUE, the statistical analysis plan of empirical data of human use should be formulated. Through strict data processing, statistical analysis and clinical interpretation, HUE can be produced for evaluation.
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Source |
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http://dx.doi.org/10.19540/j.cnki.cjcmm.20210122.501 | DOI Listing |
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