A citation-based method for searching scientific literature

Jeffrey A Tice, Steven R Cummings, Rebecca Smith-Bindman, Laura Ichikawa, William E Barlow, Karla Kerlikowske. Ann Intern Med 2008
Times Cited: 348







List of co-cited articles
645 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
51

A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
684
42

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
114
34

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
108
26

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
504
22

The contributions of breast density and common genetic variation to breast cancer risk.
Celine M Vachon, V Shane Pankratz, Christopher G Scott, Lothar Haeberle, Elad Ziv, Matthew R Jensen, Kathleen R Brandt, Dana H Whaley, Janet E Olson, Katharina Heusinger,[...]. J Natl Cancer Inst 2015
117
20

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
19

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
781
18

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
86
20

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
195
17

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
77
20

Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density.
Jinbo Chen, David Pee, Rajeev Ayyagari, Barry Graubard, Catherine Schairer, Celia Byrne, Jacques Benichou, Mitchell H Gail. J Natl Cancer Inst 2006
240
15

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
15

Evaluation of breast cancer risk assessment packages in the family history evaluation and screening programme.
E Amir, D G Evans, A Shenton, F Lalloo, A Moran, C Boggis, M Wilson, A Howell. J Med Genet 2003
186
15

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
15

Prospective breast cancer risk prediction model for women undergoing screening mammography.
William E Barlow, Emily White, Rachel Ballard-Barbash, Pamela M Vacek, Linda Titus-Ernstoff, Patricia A Carney, Jeffrey A Tice, Diana S M Buist, Berta M Geller, Robert Rosenberg,[...]. J Natl Cancer Inst 2006
285
14


Mammographic breast density and the Gail model for breast cancer risk prediction in a screening population.
Jeffrey A Tice, Steven R Cummings, Elad Ziv, Karla Kerlikowske. Breast Cancer Res Treat 2005
163
14

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
318
14

Identifying women with dense breasts at high risk for interval cancer: a cohort study.
Karla Kerlikowske, Weiwei Zhu, Anna N A Tosteson, Brian L Sprague, Jeffrey A Tice, Constance D Lehman, Diana L Miglioretti. Ann Intern Med 2015
146
13

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
422
13

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
96
13

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
69
18

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
92
13

Prevalence of mammographically dense breasts in the United States.
Brian L Sprague, Ronald E Gangnon, Veronica Burt, Amy Trentham-Dietz, John M Hampton, Robert D Wellman, Karla Kerlikowske, Diana L Miglioretti. J Natl Cancer Inst 2014
196
12

Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction.
Elke M van Veen, Adam R Brentnall, Helen Byers, Elaine F Harkness, Susan M Astley, Sarah Sampson, Anthony Howell, William G Newman, Jack Cuzick, D Gareth R Evans. JAMA Oncol 2018
61
19

Risk prediction models of breast cancer: a systematic review of model performances.
Thunyarat Anothaisintawee, Yot Teerawattananon, Chollathip Wiratkapun, Vijj Kasamesup, Ammarin Thakkinstian. Breast Cancer Res Treat 2012
71
16

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
64
18

National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium.
Constance D Lehman, Robert F Arao, Brian L Sprague, Janie M Lee, Diana S M Buist, Karla Kerlikowske, Louise M Henderson, Tracy Onega, Anna N A Tosteson, Garth H Rauscher,[...]. Radiology 2017
211
12

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
297
12

Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer: A Life-Table Model.
Nora Pashayan, Steve Morris, Fiona J Gilbert, Paul D P Pharoah. JAMA Oncol 2018
109
12

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
42
28

A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance.
Catherine Meads, Ikhlaaq Ahmed, Richard D Riley. Breast Cancer Res Treat 2012
103
11

Tailoring Breast Cancer Screening Intervals by Breast Density and Risk for Women Aged 50 Years or Older: Collaborative Modeling of Screening Outcomes.
Amy Trentham-Dietz, Karla Kerlikowske, Natasha K Stout, Diana L Miglioretti, Clyde B Schechter, Mehmet Ali Ergun, Jeroen J van den Broek, Oguzhan Alagoz, Brian L Sprague, Nicolien T van Ravesteyn,[...]. Ann Intern Med 2016
70
15

Cost-effectiveness and harm-benefit analyses of risk-based screening strategies for breast cancer.
Ester Vilaprinyo, Carles Forné, Misericordia Carles, Maria Sala, Roger Pla, Xavier Castells, Laia Domingo, Montserrat Rue. PLoS One 2014
89
12

Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.
Paige Maas, Myrto Barrdahl, Amit D Joshi, Paul L Auer, Mia M Gaudet, Roger L Milne, Fredrick R Schumacher, William F Anderson, David Check, Subham Chattopadhyay,[...]. JAMA Oncol 2016
162
11

Validation of the breast cancer surveillance consortium model of breast cancer risk.
Jeffrey A Tice, Michael C S Bissell, Diana L Miglioretti, Charlotte C Gard, Garth H Rauscher, Firas M Dabbous, Karla Kerlikowske. Breast Cancer Res Treat 2019
25
44

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
88
11

Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance.
Anne S Quante, Alice S Whittemore, Tom Shriver, Konstantin Strauch, Mary B Terry. Breast Cancer Res 2012
71
14

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
294
10



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
314
10



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
9

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
225
9

Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.
Matthew E Mealiffe, Renee P Stokowski, Brian K Rhees, Ross L Prentice, Mary Pettinger, David A Hinds. J Natl Cancer Inst 2010
119
9

Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.
N F Boyd, J W Byng, R A Jong, E K Fishell, L E Little, A B Miller, G A Lockwood, D L Tritchler, M J Yaffe. J Natl Cancer Inst 1995
761
9

Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study.
Xuehong Zhang, Megan Rice, Shelley S Tworoger, Bernard A Rosner, A Heather Eliassen, Rulla M Tamimi, Amit D Joshi, Sara Lindstrom, Jing Qian, Graham A Colditz,[...]. PLoS Med 2018
48
18


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.