Title |
Probability of Cancer in Pulmonary Nodules Detected on First Screening CT
|
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Published in |
New England Journal of Medicine, September 2013
|
DOI | 10.1056/nejmoa1214726 |
Pubmed ID | |
Authors |
Annette McWilliams, Martin C Tammemagi, John R Mayo, Heidi Roberts, Geoffrey Liu, Kam Soghrati, Kazuhiro Yasufuku, Simon Martel, Francis Laberge, Michel Gingras, Sukhinder Atkar-Khattra, Christine D Berg, Ken Evans, Richard Finley, John Yee, John English, Paola Nasute, John Goffin, Serge Puksa, Lori Stewart, Scott Tsai, Michael R Johnston, Daria Manos, Garth Nicholas, Glenwood D Goss, Jean M Seely, Kayvan Amjadi, Alain Tremblay, Paul Burrowes, Paul MacEachern, Rick Bhatia, Ming-Sound Tsao, Stephen Lam |
Abstract |
Major issues in the implementation of screening for lung cancer by means of low-dose computed tomography (CT) are the definition of a positive result and the management of lung nodules detected on the scans. We conducted a population-based prospective study to determine factors predicting the probability that lung nodules detected on the first screening low-dose CT scans are malignant or will be found to be malignant on follow-up. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 25 | 24% |
Canada | 8 | 8% |
United Kingdom | 5 | 5% |
Brazil | 3 | 3% |
Argentina | 3 | 3% |
Japan | 2 | 2% |
Australia | 2 | 2% |
Colombia | 2 | 2% |
Spain | 2 | 2% |
Other | 12 | 11% |
Unknown | 41 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 57 | 54% |
Practitioners (doctors, other healthcare professionals) | 27 | 26% |
Scientists | 15 | 14% |
Science communicators (journalists, bloggers, editors) | 6 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 1% |
Japan | 4 | <1% |
Spain | 3 | <1% |
United Kingdom | 3 | <1% |
Canada | 3 | <1% |
Netherlands | 2 | <1% |
Brazil | 2 | <1% |
Korea, Republic of | 1 | <1% |
Colombia | 1 | <1% |
Other | 1 | <1% |
Unknown | 795 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 156 | 19% |
Other | 91 | 11% |
Student > Ph. D. Student | 83 | 10% |
Student > Postgraduate | 75 | 9% |
Professor > Associate Professor | 58 | 7% |
Other | 196 | 24% |
Unknown | 166 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 438 | 53% |
Engineering | 51 | 6% |
Computer Science | 48 | 6% |
Agricultural and Biological Sciences | 28 | 3% |
Biochemistry, Genetics and Molecular Biology | 20 | 2% |
Other | 43 | 5% |
Unknown | 197 | 24% |