scholarly journals Developing a diagnostic checklist of traditional Chinese medicine symptoms and signs for psoriasis: a Delphi study

2013 ◽  
Vol 8 (1) ◽  
pp. 10 ◽  
Author(s):  
Xuesong Yang ◽  
Virasakdi Chongsuvivatwong ◽  
Edward McNeil ◽  
Jianzhou Ye ◽  
Xiaoyong Ouyang ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Qianqian Guo ◽  
Qianjun Chen

Objective. The aim of this study was to establish the standardization of syndrome differentiation of operative breast cancer treated with Traditional Chinese Medicine (TCM) by the modified Delphi method.Method. A literature search for standardization of syndrome differentiation of operative breast cancer was conducted and eligible articles were identified in indexed databases from 1982 to 2013. We carried out two rounds of investigation between March and October 2013 and organized 20 experts who focused on TCM or integrative medicine in breast cancer research. Experts’ judgments were collectedviaposted questionnaires or e-mail. A final evaluation was carried out after the end of both rounds.Result. The response ratio of the 1st round investigation reached 100%, and two experts were excluded due to the uncompleted questionnaire. The 2nd round investigation was completed by 18 experts in the 1st round panel board. In both rounds, the experts agreed that the stage of breast cancer defined by TCM could be divided into the perioperation period, the perichemotherapy period, the periradiotherapy period, and the consolidation period.Conclusion. We identified the feasibility and reasonability to establish the standardization of syndrome differentiation of operative breast cancer. According to the suggestions from experts in our Delphi study, we preliminarily established the TCM standard of syndrome differentiation based on different treatment stages of operative breast cancer.


2014 ◽  
Vol 9 (1) ◽  
pp. 1 ◽  
Author(s):  
Xuesong Yang ◽  
Virasakdi Chongsuvivatwong ◽  
Sanguan Lerkiatbundit ◽  
Jianzhou Ye ◽  
Xiaoyong Ouyang ◽  
...  

Author(s):  
Liyuan Fu ◽  
Jing Lin ◽  
Meiyu Yao ◽  
Fang Niu ◽  
Fenglan Ma ◽  
...  

Background: To investigate the clinical effect of modified Baihe Gujin Decoction in treatment of cough during pregnancy. Methods: A total of 31 pregnant women with cough were recruited from First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine and Shanghai Qingpu District Hospital of Traditional Chinese Medicine from February 2016 to June 2020. The patients were treated with modified Baihe Gujin Decoction for two weeks according to their unique symptoms and signs. The cough symptoms were evaluated and the symptom scores were calculated at Day 0 (time of enrollment), Day 7, and Day 14, respectively. Results: Of 31 cases, 4 cases were clinically cured and 24 cases showed marked improvement, with 3 cases showing no improvement. Conclusions: Modified Baihe Gujin Decoction can significantly improve the symptoms of cough during pregnancy.


10.2196/16018 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e16018 ◽  
Author(s):  
Zhi Chun Wang ◽  
Shi Ping Zhang ◽  
Pong Chi Yuen ◽  
Kam Wa Chan ◽  
Yi Yi Chan ◽  
...  

Background There is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for example in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. Objective The first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. Methods An operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians’ (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. Results Intra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen κ range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (κ range 0.7-1.0), except for the color of the tongue body (κ=0.22) and slippery tongue fur (κ=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). Conclusions Taken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.


2019 ◽  
Author(s):  
Zhi Chun Wang ◽  
Shi Ping Zhang ◽  
Pong Chi Yuen ◽  
Kam Wa Chan ◽  
Yi Yi Chan ◽  
...  

BACKGROUND There is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for example in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. OBJECTIVE The first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. METHODS An operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians’ (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. RESULTS Intra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen κ range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (κ range 0.7-1.0), except for the color of the tongue body (κ=0.22) and slippery tongue fur (κ=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). CONCLUSIONS Taken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.


2021 ◽  
Author(s):  
Mingyan Zhang ◽  
Hui Zi Chua ◽  
Bohan Niu ◽  
Wenke Zheng ◽  
Fengwen Yang ◽  
...  

Abstract Background Traditional Chinese medicine (TCM) plays an important role in contributing to the public health in China. However, non-standardized outcomes in TCM related studies posed great difficulty in data synthesis for healthcare decisions. An agreed set of standardized outcomes, or termed as a core outcome set (COS), can solve this existing problem of outcome heterogeneity. This review aimed to analyze outcome heterogeneity, assess the quality of outcome reporting and providing a list of potential outcomes for COS development of SAP using TCM. Methods 8 literature databases were searched to identify clinical studies about TCM for SAP (SAP-TCM) of yearly samples of 2005, 2010, 2015, 2016, 2018 and 2019. 2 clinical registry databases were searched from inception to October 2020. Outcomes definition, measurement methods and time-point were extracted and categorized into 7 themes which include clinical symptoms and signs, physical and chemical examination, TCM-related outcomes, adverse events, quality of life, long-term prognosis and economic evaluation. Timing and quality assessment of the outcomes reported were analyzed and evaluated. Results A total of 1166 studies were included from 12962 potential studies, involving 111426 patients. 231 outcomes were identified and a total of 89 outcomes reported at least twice in the studies. The most commonly reported theme was clinical symptoms and signs. The most frequently reported outcomes were total rate of ECG efficiency and angina attack in clinical studies of published literature and clinical registries databases respectively. Outcomes reported in a single study ranged from 1 to 15, and 5 outcomes on average per study. 80% of the studies lack reporting of primary outcomes. A wide variation of measurement instruments or methods was used. A range of 1–17 measurement time-points were recorded. Quality assessment of outcome reporting was generally low, with 65.6% of the studies scoring 3 to 4 points. Conclusion Outcomes reported in studies on SAP-TCM are heterogeneous. A lack of standardization complicates comparisons of outcomes across studies. Developing a COS for SAP-TCM could contribute to the standardization of outcome reporting and offer a stronger evidence for health decision-making.


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