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Challenges and research opportunities for lung cancer screening in China

Overview of attention for article published in Cancer Communications, June 2018
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Title
Challenges and research opportunities for lung cancer screening in China
Published in
Cancer Communications, June 2018
DOI 10.1186/s40880-018-0305-0
Pubmed ID
Authors

Zixing Wang, Yuyan Wang, Yao Huang, Fang Xue, Wei Han, Yaoda Hu, Lei Wang, Wei Song, Jingmei Jiang

Abstract

Following publication of the results of the National Lung Screening Trial in the United States, a randomized controlled trial in Italy (ITALUNG) and two simulation studies in China reported similar findings in 2017 favoring lung cancer screening with low-dose computed tomography among smokers. With such advances in lung cancer screening, worldwide interest has gradually shifted from evaluating whether refining lung cancer screening protocols is effective in preventing deaths. However, there are several practical problems to be resolved, including the balance of enrollment criteria and cost effectiveness, precise measurements to reduce false positive findings, risk-based optimization of screening frequency, challenges associated with cancer heterogeneity, strategies to combine image screening with novel biomarkers, dynamic monitoring of the natural history of cancer, accurate identification and diagnosis of cases among huge populations, and the impact of tobacco control policy and environment protection. As one in three individuals with lung cancer worldwide resides in China, these questions pose great challenges as well as research opportunities for population screening programs in China.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Master 5 16%
Student > Postgraduate 3 9%
Student > Bachelor 2 6%
Professor > Associate Professor 1 3%
Other 1 3%
Unknown 14 44%
Readers by discipline Count As %
Medicine and Dentistry 9 28%
Engineering 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Psychology 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 15 47%