The randomized controlled trials (RCTs) regarding acupuncture direction published from January 1st, 2013, to November 7th, 2023 were searched in China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform, and VIP Chinese Journal Database. As a result, 21 RCTs were included. The problems identified included conceptual misunderstandings regarding acupuncture direction, incomplete selection strategies, confounding research factors, and inaccuracies in reporting. Based on the findings, four strategic approaches for enhancing therapeutic efficacy through acupuncture direction were summarized: aligning needle direction with the meridian pathway, directing the needle toward the lesion site, orienting the needle toward adjacent acupoints, and targeting special anatomical structures. Two additional strategies were proposed for optimizing the procedure: simplifying acupuncture operations and directing the needle toward safe anatomical sites. Recommendations were made to improve the rationality of research factor settings and the completeness of acupuncture operation reporting. Furthermore, three methods for reporting acupuncture direction were discussed: reporting the tip-pointed position, reporting the insertion angle and orientation, and reporting azimuth and polar angles, aiming to promote greater standardization and completeness in acupuncture practice and reporting.
Acupuncture Therapy/standards* ; Humans ; Acupuncture Points ; Randomized Controlled Trials as Topic ; Meridians

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To investigate respiratory virus infection in children with septic shock in pediatric care units (PICU) in China and its influence on clinical outcomes.Methods:The clinical data of children with septic shock in children′s PICU from January 2018 to December 2019 in 10 Chinese hospitals were retrospectively collected. They were divided into the pre-COVID-19 and post-COVID-19 groups according to the onset of disease, and the characteristics and composition of respiratory virus in the 2 groups were compared. Matching age, malignant underlying diseases, bacteria, fungi and other viruses, a new database was generated using 1∶1 propensity score matching method. The children were divided into the respiratory virus group and non-respiratory virus group according to the presence or absence of respiratory virus infection; their clinical characteristics, diagnosis, and treatment were compared by t-test, rank sum test and Chi-square test. The correlation between respiratory virus infection and the clinical outcomes was analyzed by logistic regression. Results:A total of 1 247 children with septic shock were included in the study, of them 748 were male; the age was 37 (11, 105) months. In the pre-and post-COVID-19 groups, there were 530 and 717 cases of septic shock, respectively; the positive rate of respiratory virus was 14.9% (79 cases) and 9.8% (70 cases); the seasonal distribution of septic shock was 28.9% (153/530) and 25.9% (185/717) in autumn, and 30.3% (161/530) and 28.3% (203/717) in winter, respectively, and the corresponding positive rates of respiratory viruses were 19.6% (30/153) and 15.7% (29/185) in autumn, and 21.1% (34/161) and 15.3% (31/203) in winter, respectively. The positive rates of influenza virus and adenovirus in the post-COVID-19 group were lower than those in the pre-COVID-19 group (2.1% (15/717) vs. 7.5% (40/530), and 0.7% (5/717) vs. 3.2% (17/530), χ2=21.51 and 11.08, respectively; all P<0.05). Rhinovirus virus were higher than those in the pre-Covid-19 group (1.7% (12/717) vs. 0.2% (1/530), χ2=6.51, P=0.011). After propensity score matching, there were 147 cases in both the respiratory virus group and the non-respiratory virus group. Rate of respiratory failure, acute respiratory distress, rate of disseminated coagulation dysfunction, and immunoglobulin usage of the respiratory virus group were higher than those of non-respiratory virus group (77.6% (114/147) vs. 59.2% (87/147), 17.7% (26/147) vs. 4.1% (6/147), 15.6% (25/147) vs. 4.1% (7/147), and 35.4% (52/147) vs. 21.4% (32/147); χ2=11.07, 14.02, 11.06 and 6.67, all P<0.05); and PICU hospitalization of the former was longer than that of the later (7 (3, 16) vs. 3 (1, 7)d, Z=5.01, P<0.001). Univariate logistic regression analysis showed that the presence of respiratory viral infection was associated with respiratory failure, disseminated coagulation dysfunction, the use of mechanical ventilation, and the use of immunoglobulin and anti-respiratory viral drugs ( OR=2.42, 0.22, 0.25, 0.56 and 1.12, all P<0.05). Conclusions:The composition of respiratory virus infection in children with septic shock is different between pre and post-COVID-19. Respiratory viral infection is associated with organ dysfunction in children with septic shock. Decreasing respiratory viral infection through respiratory protection may improve the clinical outcome of these children.