[1] |
Fan Jun, Wang Qingya, Wu Chengguo, Lei Rongrong, Zhang Ya, Zhang Ting.
Investigation on the psychological and social support status of 445 pulmonary tuberculosis patients in Chongqing metropolitan area
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1007-1013.
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[2] |
Huang Weiqiang, Liu Xudong, Wang Lili, Chen Xingxing, Shang Huihui, Xu Ya, Hu Ming.
Clinical characteristics and treatment outcomes of extracorporeal membrane oxygenation in 13 patients with severe pulmonary tuberculosis-associated acute respiratory distress syndrome
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1014-1022.
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[3] |
Zhang Ye, Liang Wenwen, Huo Chenchao, Shi Jinghua, Qi Xianglong, Cheng Kai, Lu Yu, Xu Jian.
Synergistic effect of zuclopenthixol on the anti-tuberculosis activity of clofazimine and its mechanism of action on MmpL5-MmpS5
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1023-1030.
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[4] |
Fan Ruifang, Dai Xiaowei, Yang Xinyu, Chen Shuangshuang, Chen Hao, Yu Lan, Zhao Yanfeng, Li Chuanyou, Wang Nenhan.
A study on the identification of Mycobacterium species using fluorescent PCR probe melting curve technique and DNA microarray chip technique
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1031-1037.
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[5] |
Xue Yu, Guo Shubin, Lei Xuan, Zhang Jing, Li Wensheng, Liu Yan, Li Huan, Liu Zhifeng, Wang Wei, Wen Li.
Construction and analysis of early warning and prediction model for risk factors of initially treated severe pulmonary tuberculosis
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1038-1043.
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[6] |
Abuduresuli Tu’ersun, Abudukeyoumujiang Abulizi, Patiman Maimaiti, Huang Chencui, Shen Lingyan, Mayidili Nijiati.
Predicting pulmonary tuberculosis treatment outcomes using longitudinal chest CT radiomics and deep learning
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1044-1052.
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[7] |
Jiao Jiahuan, Sun Changfeng, Wu Gang, Huang Fuli, Sheng Yunjian.
The value of machine learning algorithm-based diagnostic models in tuberculous pleural effusion
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1053-1061.
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[8] |
Kong Hanhan, Chen Zijiao, Zeng Jianfeng, Wu Dan, Tang Lin, Wen Min.
Development and reliability and validity testing of the Pulmonary Tuberculosis Symptom Cluster Scale
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1062-1067.
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[9] |
Zhu Qingdong, Zhao Chunyan, Xie Zhouhua, Song Shulin, Song Chang.
Research progress on the application of artificial intelligence-based CT radiomics in the diagnosis and treatment response monitoring of tuberculosis
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1068-1076.
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[10] |
Zhu Qingyu, Liu Jiayun, Long Yin.
Advances in the application of extracellular vesicles and the diagnosis of tuberculosis
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 1077-1084.
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[11] |
Xia Hui, Zhao Yanlin.
The potentials and challenges of using tongue swab for Mycobacterium tuberculosis complex detection through nucleic acid amplification tests in the diagnosis and screening of pulmonary tuberculosis
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 976-980.
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[12] |
Meng Qinglin, Wang Yunxia, Tang Yan, Liu Eryong.
Analysis of psychological support of tuberculosis patients at home and abroad
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 981-985.
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[13] |
Sun Shanhua, Lezhe Laji, Gao Zhidong, Zhao Yao, He Xin, Xu Qiang, Yang Maosheng, Xu Yan.
Knowledge, attitude and practice survey on tuberculosis prevention and control among specific populations in Meigu County, Liangshan Yi Autonomous Prefecture, Sichuan Province
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 992-998.
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[14] |
Tang Lingling, Chen Danping, Li Yuru, Jiang Hua, Huang Le, Su Limin.
Analysis of family functioning of patients with drug-resistant pulmonary tuberculosis and its influencing factors
[J]. Chinese Journal of Antituberculosis, 2025, 47(8): 999-1006.
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[15] |
Tuberculosis Control Branch of Chinese Antituberculosis Association, Standardization Professional Branch of Chinese Antituberculosis Association, Elderly Tuberculosis Control Branch of Chinese Antituberculosis Association.
Expert consensus on the application of Mycobacterium tuberculosis infection detection technologies
[J]. Chinese Journal of Antituberculosis, 2025, 47(7): 813-829.
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