1.Prevention and control of latent tuberculosis infection in Jiangsu Province: strategies, practices, and challenges
ZHANG Yeqing ; YU Quanji ; LIU Qiao
Journal of Preventive Medicine 2026;38(5):438-441
Abstract
The prevention and treatment of latent tuberculosis infection (LTBI) is a key strategy to achieve the World Health Organization (WHO) End Tuberculosis (TB) Strategy 2035 goal. Jiangsu Province serves as a global model for LTBI control, and provide valuable experience for regional tuberculosis prevention. This paper reviews the policy evolution and implementation progress of LTBI control in Jiangsu Province. The Jiangsu province has issued a specific prevention plan. It has established a preventive treatment service system for specialized clinics and a digital service platform. Positive results have been achieved in screening key populations, promoting short-course preventive regimens, and follow-up management. Although the reported TB incidence in Jiangsu Province remains low, the LTBI detection rate is high in both the general and high-risk populations. The prevention and control of LTBI faces serious challenges, including uneven coverage of high-risk populations, room for improvement in the rate of preventive treatment, weak digital management capabilities at the grassroots level, and poor interdepartmental coordination. It is recommended to further expand screening coverage, strengthen health education to improve the acceptance and completion rates of preventive treatment, deepen multisectoral collaboration and data integration, and enhance the construction of grassroots intelligent management systems, thereby providing support for regional tuberculosis prevention and control.
2.Rifampicin-resistant tuberculosis prevention and control in Jiangsu Province from 2013 to 2023
Hui DING ; Quanji YU ; Xiaoyan DING ; Yan SHAO ; Peng LU ; Zhongqi LI ; Limei ZHU ; Qiao LIU
Chinese Journal of Epidemiology 2025;46(4):655-661
Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.
3.Rifampicin-resistant tuberculosis prevention and control in Jiangsu Province from 2013 to 2023
Hui DING ; Quanji YU ; Xiaoyan DING ; Yan SHAO ; Peng LU ; Zhongqi LI ; Limei ZHU ; Qiao LIU
Chinese Journal of Epidemiology 2025;46(4):655-661
Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.
4. Two-stage estimation on adjustment for cross-over in oncology trials
Quanji YU ; Senmiao NI ; Min YANG ; Zihang ZHONG ; Jiawei ZHOU ; Lixin CAI ; Jianling BAI ; Hao YU
Chinese Journal of Clinical Pharmacology and Therapeutics 2021;26(4):395-400
AIM: To investigate the application of two-stage estimation (TSE) on adjustment for treatment switch in oncology trials. METHODS: The theory and implementation of TSE method was described, and was applied to adjust the data from a two-arm randomized controlled trial of anti-tumor drugs. The changes of survival curves and hazard ratio of two groups after adjustment for cross-over were evaluated. In addition, the results of two-stage estimation and rank preserving structural failure time model (RPSFT) were compared. RESULTS: After adjustment for cross-over using TSE methods, the results showed that the median survival time of control group was shorter than the original one, and the hazard ratio was lower than the observed value. Moreover, TSE method showed similar results to rank preserving structural failure time model. CONCLUSION: The TSE method is relatively simple to use, reliable and has a good practice property in cross-over analysis of oncology trials. At the same time, it is necessary to pay attention to its application scopes.


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