OBJECTIVE: To evaluate the application of health assessment instruments in Chinese medicine. METHODS: According to a pre-defined search strategy, a comprehensive literature search for all articles published in China...OBJECTIVE: To evaluate the application of health assessment instruments in Chinese medicine. METHODS: According to a pre-defined search strategy, a comprehensive literature search for all articles published in China National Knowledge Infrastructure databases was conducted. The resulting articles that met the defined inclusion and exclusion criteria were used for analysis. RESULTS: A total of 97 instruments for health outcome assessment in Chinese medicine have been used in fundamental and theoretical research, and 14 of these were also used in 29 clinical trials that were randomized controlled trials, or descriptive or cross-sectional studies. In 2 152 Chinese medicine-based studies that used instruments in their methodology, more than 150 questionnaires were identified. Among the identified questionnaires, 51 were used in more than 10 articles (0.5%). Most of these instruments were developed in Western countries and few studies (4%) used the instrument as the primary evidence for their conclusions. CONCLUSION: Usage of instruments for health outcome assessment in Chinese medicine is increasing rapidly; however, current limitations include selection rationale, result interpretation and standardization, which must be addressed accordingly.展开更多
目的梳理人工智能在中医药临床研究中的应用现状,为充分发挥人工智能在中医药研究领域的作用提供参考依据。方法检索中国知网、万方、中国科技期刊数据库、PubMed和Web of Science核心数据库,收集公开发表的针对人工智能在中医药临床研...目的梳理人工智能在中医药临床研究中的应用现状,为充分发挥人工智能在中医药研究领域的作用提供参考依据。方法检索中国知网、万方、中国科技期刊数据库、PubMed和Web of Science核心数据库,收集公开发表的针对人工智能在中医药临床研究中应用的文献,进行分析。结果最终纳入32篇文献,均来自中国,发文年限在2014—2023年。研究主要来自高校和医疗机构。纳入的文献均为观察性研究,共包含病例47564例。人工智能在中医药临床研究中的应用包含10个方面,排名前三的分别为:(1)根据中医证型预测疾病发生风险,预测准确率均在80%以上;(2)预测疾病的中医证型,预测准确率高达99.16%;(3)利用人工智能探索疾病的中医证型与理化指标的关联,准确率最高达96.4%。其余7个分别为利用人工智能挖掘并构建了舌图像与疾病的关联模型、辅助诊断、根据中医人格及体质预测疾病发生风险、预测疾病预后、根据中医脉象信号预测疾病发生风险、预测中成药不良反应发生率。结论人工智能在中医药临床研究中赋能效果明显,可有效提高患者的诊疗质量,避免医疗资源的浪费。展开更多
Objective: To examine the association between traditional Chinese medicine(TCM), preconception health patterns and fertility outcomes.Methods: A community-based prospective cohort study was conducted in China. A total...Objective: To examine the association between traditional Chinese medicine(TCM), preconception health patterns and fertility outcomes.Methods: A community-based prospective cohort study was conducted in China. A total of 3012 newly married women who were willing to conceive within 2 years were enrolled in the study and took National Free Prepregnancy Checkups(NFPC). A reliably structured self-rating scale was used to measure the TCM preconception health patterns of the enrolled women. A 3-year follow-up was conducted to obtain the fertility outcomes, including pregnancy rate, time to pregnancy, spontaneous miscarriage and newborn status. Statistical analyses were conducted using Chi-square or Fisher’s exact tests, logistic regression models, general linear models and the Cox proportional hazard model.Results: The fertility outcomes showed no statistic correlations to the terms of NFPC in this population.Approximately a half of the women(46.66%) had unhealthy patterns. Women with qi & blood-deficiency(odds ratio [OR] = 35.19, 95% confidence interval [CI] = 1.55–801.15) or qi-stagnation(OR = 4.55, 95% CI =0.90–23.06) pattern took a longer time to get pregnant, and those with qi-stagnation(OR = 2.05, 95% CI =1.1–3.82) or yang-deficiency(OR = 1.91, 95% CI = 1.12–3.25) pattern had a higher risk of spontaneous miscarriage.Conclusion: Three unhealthy TCM patterns during the preconception period might be risk factors for low fecundity or poor pregnancy outcomes. The TCM preconception pattern identification may provide a convenient and effective way to screen for potential pregnancy risks beyond the NFPC. Further, appropriate interventions based on the TCM preconception health patterns are needed to improve quality in women’s fecundability and birth outcomes.展开更多
基金supported by the National Natural Science Foundation of China(No.81073163)
文摘OBJECTIVE: To evaluate the application of health assessment instruments in Chinese medicine. METHODS: According to a pre-defined search strategy, a comprehensive literature search for all articles published in China National Knowledge Infrastructure databases was conducted. The resulting articles that met the defined inclusion and exclusion criteria were used for analysis. RESULTS: A total of 97 instruments for health outcome assessment in Chinese medicine have been used in fundamental and theoretical research, and 14 of these were also used in 29 clinical trials that were randomized controlled trials, or descriptive or cross-sectional studies. In 2 152 Chinese medicine-based studies that used instruments in their methodology, more than 150 questionnaires were identified. Among the identified questionnaires, 51 were used in more than 10 articles (0.5%). Most of these instruments were developed in Western countries and few studies (4%) used the instrument as the primary evidence for their conclusions. CONCLUSION: Usage of instruments for health outcome assessment in Chinese medicine is increasing rapidly; however, current limitations include selection rationale, result interpretation and standardization, which must be addressed accordingly.
文摘目的梳理人工智能在中医药临床研究中的应用现状,为充分发挥人工智能在中医药研究领域的作用提供参考依据。方法检索中国知网、万方、中国科技期刊数据库、PubMed和Web of Science核心数据库,收集公开发表的针对人工智能在中医药临床研究中应用的文献,进行分析。结果最终纳入32篇文献,均来自中国,发文年限在2014—2023年。研究主要来自高校和医疗机构。纳入的文献均为观察性研究,共包含病例47564例。人工智能在中医药临床研究中的应用包含10个方面,排名前三的分别为:(1)根据中医证型预测疾病发生风险,预测准确率均在80%以上;(2)预测疾病的中医证型,预测准确率高达99.16%;(3)利用人工智能探索疾病的中医证型与理化指标的关联,准确率最高达96.4%。其余7个分别为利用人工智能挖掘并构建了舌图像与疾病的关联模型、辅助诊断、根据中医人格及体质预测疾病发生风险、预测疾病预后、根据中医脉象信号预测疾病发生风险、预测中成药不良反应发生率。结论人工智能在中医药临床研究中赋能效果明显,可有效提高患者的诊疗质量,避免医疗资源的浪费。
基金supported by the China Scholarship Council scholarshipZhejiang National Science Foundation (No. LY17H270010)National Natural Science Foundation of China (No. 81202737).
文摘Objective: To examine the association between traditional Chinese medicine(TCM), preconception health patterns and fertility outcomes.Methods: A community-based prospective cohort study was conducted in China. A total of 3012 newly married women who were willing to conceive within 2 years were enrolled in the study and took National Free Prepregnancy Checkups(NFPC). A reliably structured self-rating scale was used to measure the TCM preconception health patterns of the enrolled women. A 3-year follow-up was conducted to obtain the fertility outcomes, including pregnancy rate, time to pregnancy, spontaneous miscarriage and newborn status. Statistical analyses were conducted using Chi-square or Fisher’s exact tests, logistic regression models, general linear models and the Cox proportional hazard model.Results: The fertility outcomes showed no statistic correlations to the terms of NFPC in this population.Approximately a half of the women(46.66%) had unhealthy patterns. Women with qi & blood-deficiency(odds ratio [OR] = 35.19, 95% confidence interval [CI] = 1.55–801.15) or qi-stagnation(OR = 4.55, 95% CI =0.90–23.06) pattern took a longer time to get pregnant, and those with qi-stagnation(OR = 2.05, 95% CI =1.1–3.82) or yang-deficiency(OR = 1.91, 95% CI = 1.12–3.25) pattern had a higher risk of spontaneous miscarriage.Conclusion: Three unhealthy TCM patterns during the preconception period might be risk factors for low fecundity or poor pregnancy outcomes. The TCM preconception pattern identification may provide a convenient and effective way to screen for potential pregnancy risks beyond the NFPC. Further, appropriate interventions based on the TCM preconception health patterns are needed to improve quality in women’s fecundability and birth outcomes.