JNCI Journal of the National Cancer Institute

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ISSN / EISSN : 00278874 / 14602105
Current Publisher: Oxford University Press (OUP) (10.1093)
Total articles ≅ 30,322
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Devon K Check, Aaron N Winn, Nicole Fergestrom, Katherine E Reeder-Hayes, Joan M Neuner, Andrew W Roberts
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz201

The publisher has not yet granted permission to display this abstract.
Jennifer C Spencer, Jason S Rotter, Jan M Eberth, Whitney E Zahnd, Robin C Vanderpool, Linda K Ko, Melinda M Davis, Melissa A Troester, Andrew F Olshan, Stephanie B Wheeler
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz197

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Oana A Zeleznik, Clary B Clish, Peter Kraft, Julian Avila-Pancheco, A Heather Eliassen, Shelley S Tworoger
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz195

The publisher has not yet granted permission to display this abstract.
Johanna F Dekkers, James R Whittle, François Vaillant, Huei-Rong Chen, Caleb Dawson, Kevin Liu, Maarten Geurts, Marco J Herold, Hans Clevers, Geoffrey J Lindeman, et al.
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz196

The publisher has not yet granted permission to display this abstract.
Robert J MacInnis, Yuyan Liao, Julia A Knight, Roger L Milne, Alice S Whittemore, Wendy K Chung, Nicole Leoce, Richard Buchsbaum, Nur Zeinomar, Gillian S Dite, et al.
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz194

The publisher has not yet granted permission to display this abstract.
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz186

Abstract:Corrigendum to “A Network Meta-Analysis of Surgical Treatment in Patients With Early Breast Cancer. ” by Yu Gui et al. JNCI: J Natl Cancer Inst (2019) 111(9): djz105.
Kevin Ten Haaf, Mehrad Bastani, Pianpian Cao, Jihyoun Jeon, Iakovos Toumazis, Summer S Han, Sylvia K Plevritis, Erik F Blom, Chung Yin Kong, Martin C Tammemägi, et al.
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz164

Abstract:Background Risk-prediction models have been proposed to select individuals for lung cancer screening. However, their long-term effects are uncertain. This study evaluates long-term benefits and harms of risk-based screening compared to current United States Preventive Services Task Force (USPSTF) recommendations. Methods Four independent natural-history models performed a comparative modeling study evaluating long-term benefits and harms of selecting individuals for lung cancer screening through risk-prediction models. 363 risk-based screening strategies varying by screening starting and stopping age, risk-prediction model used for eligibility (Bach, PLCOm2012, LCDRAT), and risk-threshold were evaluated for a 1950 U.S. birth-cohort. Among the evaluated outcomes were percentage of individuals ever screened, screens required, lung cancer deaths averted, life-years gained and overdiagnosis. Results Risk-based screening strategies requiring similar screens among individuals aged 55-80 as the USPSTF-criteria (corresponding risk-thresholds: Bach: 2.8%, PLCOm2012: 1.7%, LCDRAT: 1.7%) averted considerably more lung cancer deaths (Bach: 693, PLCOm2012: 698, LCDRAT: 696, USPSTF: 613). However, life-years gained were only modestly higher (Bach: 8,660, PLCOm2012: 8,862, LCDRAT, 8,631,USPSTF: 8,590) and risk-based strategies had more overdiagnosis (Bach: 149, PLCOm2012: 147, LCDRAT: 150, USPSTF: 115). Sensitivity analyses suggests excluding individuals with limited life-expectancies ( 65.3%. Conclusions Risk-based lung cancer screening strategies prevent considerably more lung cancer deaths than current recommendations. However, they yield modest additional life-years and increased overdiagnosis due to predominantly selecting older individuals. Efficient implementation of risk-based lung cancer screening requires careful consideration of life-expectancy for determining optimal individual stopping ages.
Anne Marie McCarthy, Zoe Guan, Michaela Welch, Molly E Griffin, Dorothy A Sippo, Zhengyi Deng, Suzanne B Coopey, Ahmet Acar, Alan Semine, Giovanni Parmigiani, et al.
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz177

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Mitchel H Gail
JNCI: Journal of the National Cancer Institute; doi:10.1093/jnci/djz180