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Population-based active screening strategy contributes to the prevention and control of tuberculosis.
Ding, Cheng; Ji, Zhongkang; Zheng, Lin; Jin, Xiuyuan; Ruan, Bing; Zhang, Ying; Li, Lanjuan; Xu, Kaijin.
Afiliação
  • Ding C; 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis
  • Ji Z; 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis
  • Zheng L; 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis
  • Jin X; 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis
  • Ruan B; 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis
  • Zhang Y; 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis
  • Li L; 2. Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, China.
  • Xu K; 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis
Zhejiang Da Xue Xue Bao Yi Xue Ban ; 51(6): 669-678, 2022 12 25.
Article em En | MEDLINE | ID: mdl-36915974
ABSTRACT
Despite the achievements obtained worldwide in the control of tuberculosis in recent years, many countries and regions including China still face challenges such as low diagnosis rate, high missed diagnosis rate, and delayed diagnosis of the disease. The discovery strategy of tuberculosis in China has changed from "active discovery by X-ray examination" to "passive discovery by self-referral due to symptoms", and currently the approach is integrated involving self-referral due to symptoms, active screening, and physical examination. Active screening could help to identify early asymptomatic and untreated cases. With the development of molecular biology and artificial intelligence-assisted diagnosis technology, there are more options for active screening among the large-scale populations. Although the implementation cost of a population-based active screening strategy is high, it has great value in social benefits, and active screening in special populations can obtain better benefits. Active screening of tuberculosis is an important component of the disease control. It is suggested that active screening strategies should be optimized according to the specific conditions of the regions to ultimately ensure the benefit of the tuberculosis control.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Zhejiang Da Xue Xue Bao Yi Xue Ban Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Zhejiang Da Xue Xue Bao Yi Xue Ban Assunto da revista: MEDICINA Ano de publicação: 2022 Tipo de documento: Article