A citation-based method for searching scientific literature

Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
Times Cited: 709







List of co-cited articles
508 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.
M H Gail, L A Brinton, D P Byar, D K Corle, S B Green, C Schairer, J J Mulvihill. J Natl Cancer Inst 1989
41

American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography.
Debbie Saslow, Carla Boetes, Wylie Burke, Steven Harms, Martin O Leach, Constance D Lehman, Elizabeth Morris, Etta Pisano, Mitchell Schnall, Stephen Sener,[...]. CA Cancer J Clin 2007
18

BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.
Andrew Lee, Nasim Mavaddat, Amber N Wilcox, Alex P Cunningham, Tim Carver, Simon Hartley, Chantal Babb de Villiers, Angel Izquierdo, Jacques Simard, Marjanka K Schmidt,[...]. Genet Med 2019
204
18

Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.
Valerie A McCormack, Isabel dos Santos Silva. Cancer Epidemiol Biomarkers Prev 2006
18

The BOADICEA model of genetic susceptibility to breast and ovarian cancer.
A C Antoniou, P P D Pharoah, P Smith, D F Easton. Br J Cancer 2004
300
14

Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.
Jeffrey A Tice, Steven R Cummings, Rebecca Smith-Bindman, Laura Ichikawa, William E Barlow, Karla Kerlikowske. Ann Intern Med 2008
356
14

Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort.
Adam R Brentnall, Elaine F Harkness, Susan M Astley, Louise S Donnelly, Paula Stavrinos, Sarah Sampson, Lynne Fox, Jamie C Sergeant, Michelle N Harvie, Mary Wilson,[...]. Breast Cancer Res 2015
117
14

Projecting individualized absolute invasive breast cancer risk in African American women.
Mitchell H Gail, Joseph P Costantino, David Pee, Melissa Bondy, Lisa Newman, Mano Selvan, Garnet L Anderson, Kathleen E Malone, Polly A Marchbanks, Worta McCaskill-Stevens,[...]. J Natl Cancer Inst 2007
202
14


Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.
Nasim Mavaddat, Kyriaki Michailidou, Joe Dennis, Michael Lush, Laura Fachal, Andrew Lee, Jonathan P Tyrer, Ting-Huei Chen, Qin Wang, Manjeet K Bolla,[...]. Am J Hum Genet 2019
361
12

Validation studies for models projecting the risk of invasive and total breast cancer incidence.
J P Costantino, M H Gail, D Pee, S Anderson, C K Redmond, J Benichou, H S Wieand. J Natl Cancer Inst 1999
512
11

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Adam Yala, Constance Lehman, Tal Schuster, Tally Portnoi, Regina Barzilay. Radiology 2019
171
11

Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial.
Yiwey Shieh, Martin Eklund, Lisa Madlensky, Sarah D Sawyer, Carlie K Thompson, Allison Stover Fiscalini, Elad Ziv, Laura J Van't Veer, Laura J Esserman, Jeffrey A Tice. J Natl Cancer Inst 2017
112
10

10-year performance of four models of breast cancer risk: a validation study.
Mary Beth Terry, Yuyan Liao, Alice S Whittemore, Nicole Leoce, Richard Buchsbaum, Nur Zeinomar, Gillian S Dite, Wendy K Chung, Julia A Knight, Melissa C Southey,[...]. Lancet Oncol 2019
78
12

International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S Corrado, Ara Darzi,[...]. Nature 2020
555
10

Breast Cancer Screening for Women at Average Risk: 2015 Guideline Update From the American Cancer Society.
Kevin C Oeffinger, Elizabeth T H Fontham, Ruth Etzioni, Abbe Herzig, James S Michaelson, Ya-Chen Tina Shih, Louise C Walter, Timothy R Church, Christopher R Flowers, Samuel J LaMonte,[...]. JAMA 2015
857
10

Prediction of breast cancer risk based on profiling with common genetic variants.
Nasim Mavaddat, Paul D P Pharoah, Kyriaki Michailidou, Jonathan Tyrer, Mark N Brook, Manjeet K Bolla, Qin Wang, Joe Dennis, Alison M Dunning, Mitul Shah,[...]. J Natl Cancer Inst 2015
332
10

A systematic review and quality assessment of individualised breast cancer risk prediction models.
Javier Louro, Margarita Posso, Michele Hilton Boon, Marta Román, Laia Domingo, Xavier Castells, María Sala. Br J Cancer 2019
49
20

Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density.
Adam R Brentnall, Jack Cuzick, Diana S M Buist, Erin J Aiello Bowles. JAMA Oncol 2018
98
10

Personalized early detection and prevention of breast cancer: ENVISION consensus statement.
Nora Pashayan, Antonis C Antoniou, Urska Ivanus, Laura J Esserman, Douglas F Easton, David French, Gaby Sroczynski, Per Hall, Jack Cuzick, D Gareth Evans,[...]. Nat Rev Clin Oncol 2020
79
12

The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions.
A C Antoniou, A P Cunningham, J Peto, D G Evans, F Lalloo, S A Narod, H A Risch, J E Eyfjord, J L Hopper, M C Southey,[...]. Br J Cancer 2008
323
9

Mammographic density and the risk and detection of breast cancer.
Norman F Boyd, Helen Guo, Lisa J Martin, Limei Sun, Jennifer Stone, Eve Fishell, Roberta A Jong, Greg Hislop, Anna Chiarelli, Salomon Minkin,[...]. N Engl J Med 2007
9


Supplemental MRI Screening for Women with Extremely Dense Breast Tissue.
Marije F Bakker, Stéphanie V de Lange, Ruud M Pijnappel, Ritse M Mann, Petra H M Peeters, Evelyn M Monninkhof, Marleen J Emaus, Claudette E Loo, Robertus H C Bisschops, Marc B I Lobbes,[...]. N Engl J Med 2019
202
9

The benefits and harms of breast cancer screening: an independent review.
M G Marmot, D G Altman, D A Cameron, J A Dewar, S G Thompson, M Wilcox. Br J Cancer 2013
511
8



Breast Cancer Screening in Women at Higher-Than-Average Risk: Recommendations From the ACR.
Debra L Monticciolo, Mary S Newell, Linda Moy, Bethany Niell, Barbara Monsees, Edward A Sickles. J Am Coll Radiol 2018
278
7

Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.
B Rockhill, D Spiegelman, C Byrne, D J Hunter, G A Colditz. J Natl Cancer Inst 2001
426
7

Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications.
Jessica A Cintolo-Gonzalez, Danielle Braun, Amanda L Blackford, Emanuele Mazzola, Ahmet Acar, Jennifer K Plichta, Molly Griffin, Kevin S Hughes. Breast Cancer Res Treat 2017
84
8

Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction.
Karin Dembrower, Yue Liu, Hossein Azizpour, Martin Eklund, Kevin Smith, Peter Lindholm, Fredrik Strand. Radiology 2020
49
14

Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer.
Jeffrey A Tice, Diana L Miglioretti, Chin-Shang Li, Celine M Vachon, Charlotte C Gard, Karla Kerlikowske. J Clin Oncol 2015
125
7

Projecting individualized absolute invasive breast cancer risk in Asian and Pacific Islander American women.
Rayna K Matsuno, Joseph P Costantino, Regina G Ziegler, Garnet L Anderson, Huilin Li, David Pee, Mitchell H Gail. J Natl Cancer Inst 2011
102
7

Medication Use to Reduce Risk of Breast Cancer: US Preventive Services Task Force Recommendation Statement.
Douglas K Owens, Karina W Davidson, Alex H Krist, Michael J Barry, Michael Cabana, Aaron B Caughey, Chyke A Doubeni, John W Epling, Martha Kubik, C Seth Landefeld,[...]. JAMA 2019
65
10


Performance of Breast Cancer Risk-Assessment Models in a Large Mammography Cohort.
Anne Marie McCarthy, Zoe Guan, Michaela Welch, Molly E Griffin, Dorothy A Sippo, Zhengyi Deng, Suzanne B Coopey, Ahmet Acar, Alan Semine, Giovanni Parmigiani,[...]. J Natl Cancer Inst 2020
25
24

Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial.
Victor G Vogel, Joseph P Costantino, D Lawrence Wickerham, Walter M Cronin, Reena S Cecchini, James N Atkins, Therese B Bevers, Louis Fehrenbacher, Eduardo R Pajon, James L Wade,[...]. JAMA 2006
6

Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study.
Brian L Sprague, Emily F Conant, Tracy Onega, Michael P Garcia, Elisabeth F Beaber, Sally D Herschorn, Constance D Lehman, Anna N A Tosteson, Ronilda Lacson, Mitchell D Schnall,[...]. Ann Intern Med 2016
98
6

Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.
Gillian S Dite, Robert J MacInnis, Adrian Bickerstaffe, James G Dowty, Richard Allman, Carmel Apicella, Roger L Milne, Helen Tsimiklis, Kelly-Anne Phillips, Graham G Giles,[...]. Cancer Epidemiol Biomarkers Prev 2016
66
9

Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case Series unselected for family history: a combined analysis of 22 studies.
A Antoniou, P D P Pharoah, S Narod, H A Risch, J E Eyfjord, J L Hopper, N Loman, H Olsson, O Johannsson, A Borg,[...]. Am J Hum Genet 2003
6

Efficacy of bilateral prophylactic mastectomy in women with a family history of breast cancer.
L C Hartmann, D J Schaid, J E Woods, T P Crotty, J L Myers, P G Arnold, P M Petty, T A Sellers, J L Johnson, S K McDonnell,[...]. N Engl J Med 1999
932
6

Tamoxifen for prevention of breast cancer: report of the National Surgical Adjuvant Breast and Bowel Project P-1 Study.
B Fisher, J P Costantino, D L Wickerham, C K Redmond, M Kavanah, W M Cronin, V Vogel, A Robidoux, N Dimitrov, J Atkins,[...]. J Natl Cancer Inst 1998
6

Breast cancer risk prediction using a clinical risk model and polygenic risk score.
Yiwey Shieh, Donglei Hu, Lin Ma, Scott Huntsman, Charlotte C Gard, Jessica W T Leung, Jeffrey A Tice, Celine M Vachon, Steven R Cummings, Karla Kerlikowske,[...]. Breast Cancer Res Treat 2016
79
7

Benign breast disease and the risk of breast cancer.
Lynn C Hartmann, Thomas A Sellers, Marlene H Frost, Wilma L Lingle, Amy C Degnim, Karthik Ghosh, Robert A Vierkant, Shaun D Maloney, V Shane Pankratz, David W Hillman,[...]. N Engl J Med 2005
522
6

Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women.
Leila Dorling, Sara Carvalho, Jamie Allen, Anna González-Neira, Craig Luccarini, Cecilia Wahlström, Karen A Pooley, Michael T Parsons, Cristina Fortuno, Qin Wang,[...]. N Engl J Med 2021
238
6

The Tyrer-Cuzick Model Inaccurately Predicts Invasive Breast Cancer Risk in Women With LCIS.
Monica G Valero, Emily C Zabor, Anna Park, Elizabeth Gilbert, Ashely Newman, Tari A King, Melissa L Pilewskie. Ann Surg Oncol 2020
22
27

Toward robust mammography-based models for breast cancer risk.
Adam Yala, Peter G Mikhael, Fredrik Strand, Gigin Lin, Kevin Smith, Yung-Liang Wan, Leslie Lamb, Kevin Hughes, Constance Lehman, Regina Barzilay. Sci Transl Med 2021
29
20

Which risk model to use? Clinical implications of the ACS MRI screening guidelines.
Elissa M Ozanne, Brian Drohan, Phil Bosinoff, Alan Semine, Michael Jellinek, Claire Cronin, Frederick Millham, Dana Dowd, Taryn Rourke, Caroline Block,[...]. Cancer Epidemiol Biomarkers Prev 2013
46
10

Gene-panel sequencing and the prediction of breast-cancer risk.
Douglas F Easton, Paul D P Pharoah, Antonis C Antoniou, Marc Tischkowitz, Sean V Tavtigian, Katherine L Nathanson, Peter Devilee, Alfons Meindl, Fergus J Couch, Melissa Southey,[...]. N Engl J Med 2015
559
5

Probability of carrying a mutation of breast-ovarian cancer gene BRCA1 based on family history.
D A Berry, G Parmigiani, J Sanchez, J Schildkraut, E Winer. J Natl Cancer Inst 1997
261
5


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.