A citation-based method for searching scientific literature

Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
Times Cited: 651







List of co-cited articles
763 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

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
99
25

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
23

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
282
22


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
490
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

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
331
17

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
52
32

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
73
21

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
300
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
181
15

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
125
15

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
243
13

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
186
13

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
68
17

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Adam Yala, Constance Lehman, Tal Schuster, Tally Portnoi, Regina Barzilay. Radiology 2019
93
11

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
491
11

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
414
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
302
10

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
91
10

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
10


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
52
17

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
62
14

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
253
9

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
9

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
30
30

Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related 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
110
9


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
69
11

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
237
8


Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers.
Karoline B Kuchenbaecker, John L Hopper, Daniel R Barnes, Kelly-Anne Phillips, Thea M Mooij, Marie-José Roos-Blom, Sarah Jervis, Flora E van Leeuwen, Roger L Milne, Nadine Andrieu,[...]. JAMA 2017
803
8

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
8


A case-control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density.
Adam R Brentnall, Elke M van Veen, Elaine F Harkness, Sajjad Rafiq, Helen Byers, Susan M Astley, Sarah Sampson, Anthony Howell, William G Newman, Jack Cuzick,[...]. Int J Cancer 2020
14
57

Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials.
Jack Cuzick, Adam R Brentnall, Corrinne Segal, Helen Byers, Caroline Reuter, Simone Detre, Elena Lopez-Knowles, Ivana Sestak, Anthony Howell, Trevor J Powles,[...]. J Clin Oncol 2017
37
18

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
91
7

The impact of a panel of 18 SNPs on breast cancer risk in women attending a UK familial screening clinic: a case-control study.
D Gareth Evans, Adam Brentnall, Helen Byers, Elaine Harkness, Paula Stavrinos, Anthony Howell, William G Newman, Jack Cuzick. J Med Genet 2017
37
18

Clinical characteristics of individuals with germline mutations in BRCA1 and BRCA2: analysis of 10,000 individuals.
Thomas S Frank, Amie M Deffenbaugh, Julia E Reid, Mark Hulick, Brian E Ward, Beth Lingenfelter, Kathi L Gumpper, Thomas Scholl, Sean V Tavtigian, Dmitry R Pruss,[...]. J Clin Oncol 2002
628
7

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women.
Matthew P Banegas, Esther M John, Martha L Slattery, Scarlett Lin Gomez, Mandi Yu, Andrea Z LaCroix, David Pee, Rowan T Chlebowski, Lisa M Hines, Cynthia A Thompson,[...]. J Natl Cancer Inst 2016
23
30

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
Freddie Bray, Jacques Ferlay, Isabelle Soerjomataram, Rebecca L Siegel, Lindsey A Torre, Ahmedin Jemal. CA Cancer J Clin 2018
7

A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model.
Adam R Brentnall, Wendy F Cohn, William A Knaus, Martin J Yaffe, Jack Cuzick, Jennifer A Harvey. J Breast Imaging 2019
14
50

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
708
7

Assessing women at high risk of breast cancer: a review of risk assessment models.
Eitan Amir, Orit C Freedman, Bostjan Seruga, D Gareth Evans. J Natl Cancer Inst 2010
260
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
42
16

Tamoxifen for prevention of breast cancer: extended long-term follow-up of the IBIS-I breast cancer prevention trial.
Jack Cuzick, Ivana Sestak, Simon Cawthorn, Hisham Hamed, Kaija Holli, Anthony Howell, John F Forbes. Lancet Oncol 2015
224
7

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
101
7

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
109
6


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.