A citation-based method for searching scientific literature

J P Costantino, M H Gail, D Pee, S Anderson, C K Redmond, J Benichou, H S Wieand. J Natl Cancer Inst 1999
Times Cited: 491







List of co-cited articles
579 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
74

A breast cancer prediction model incorporating familial and personal risk factors.
Jonathan Tyrer, Stephen W Duffy, Jack Cuzick. Stat Med 2004
657
46

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
187
35

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
34

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
335
33

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
24

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
21

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
19

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
239
18

Exemestane for breast-cancer prevention in postmenopausal women.
Paul E Goss, James N Ingle, José E Alés-Martínez, Angela M Cheung, Rowan T Chlebowski, Jean Wactawski-Wende, Anne McTiernan, John Robbins, Karen C Johnson, Lisa W Martin,[...]. N Engl J Med 2011
554
17

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
182
17

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
17

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
100
17

Tamoxifen for the prevention of breast cancer: current status of the National Surgical Adjuvant Breast and Bowel Project P-1 study.
Bernard Fisher, Joseph P Costantino, D Lawrence Wickerham, Reena S Cecchini, Walter M Cronin, Andre Robidoux, Therese B Bevers, Maureen T Kavanah, James N Atkins, Richard G Margolese,[...]. J Natl Cancer Inst 2005
830
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
305
14

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
302
14


Evaluation of the Tyrer-Cuzick (International Breast Cancer Intervention Study) model for breast cancer risk prediction in women with atypical hyperplasia.
Judy C Boughey, Lynn C Hartmann, Stephanie S Anderson, Amy C Degnim, Robert A Vierkant, Carol A Reynolds, Marlene H Frost, V Shane Pankratz. J Clin Oncol 2010
70
18

Anastrozole for prevention of breast cancer in high-risk postmenopausal women (IBIS-II): an international, double-blind, randomised placebo-controlled trial.
Jack Cuzick, Ivana Sestak, John F Forbes, Mitch Dowsett, Jill Knox, Simon Cawthorn, Christobel Saunders, Nicola Roche, Robert E Mansel, Gunter von Minckwitz,[...]. Lancet 2014
337
13

Use of pharmacologic interventions for breast cancer risk reduction: American Society of Clinical Oncology clinical practice guideline.
Kala Visvanathan, Patricia Hurley, Elissa Bantug, Powel Brown, Nananda F Col, Jack Cuzick, Nancy E Davidson, Andrea Decensi, Carol Fabian, Leslie Ford,[...]. J Clin Oncol 2013
200
13

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
104
13

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
226
13


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
111
12

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
720
12


Benefit/risk assessment for breast cancer chemoprevention with raloxifene or tamoxifen for women age 50 years or older.
Andrew N Freedman, Binbing Yu, Mitchell H Gail, Joseph P Costantino, Barry I Graubard, Victor G Vogel, Garnet L Anderson, Worta McCaskill-Stevens. J Clin Oncol 2011
123
12

Update of the National Surgical Adjuvant Breast and Bowel Project Study of Tamoxifen and Raloxifene (STAR) P-2 Trial: Preventing breast cancer.
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,[...]. Cancer Prev Res (Phila) 2010
387
11

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
64
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
17

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

Factors affecting uptake and adherence to breast cancer chemoprevention: a systematic review and meta-analysis.
S G Smith, I Sestak, A Forster, A Partridge, L Side, M S Wolf, R Horne, J Wardle, J Cuzick. Ann Oncol 2016
126
11

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
282
11

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
261
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
69
15

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
11

Validation of Rosner-Colditz breast cancer incidence model using an independent data set, the California Teachers Study.
B A Rosner, G A Colditz, S E Hankinson, J Sullivan-Halley, J V Lacey, L Bernstein. Breast Cancer Res Treat 2013
30
33

Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies.
Ruth M Pfeiffer, Yikyung Park, Aimée R Kreimer, James V Lacey, David Pee, Robert T Greenlee, Saundra S Buys, Albert Hollenbeck, Bernard Rosner, Mitchell H Gail,[...]. PLoS Med 2013
90
11

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
115
10


Estimates of the number of US women who could benefit from tamoxifen for breast cancer chemoprevention.
Andrew N Freedman, Barry I Graubard, Sowmya R Rao, Worta McCaskill-Stevens, Rachel Ballard-Barbash, Mitchell H Gail. J Natl Cancer Inst 2003
176
10

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
159
10

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
68
14

Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort.
Adriano Decarli, Stefano Calza, Giovanna Masala, Claudia Specchia, Domenico Palli, Mitchell H Gail. J Natl Cancer Inst 2006
70
14

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
43

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
74
13



Weighing the risks and benefits of tamoxifen treatment for preventing breast cancer.
M H Gail, J P Costantino, J Bryant, R Croyle, L Freedman, K Helzlsouer, V Vogel. J Natl Cancer Inst 1999
465
9

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
286
9


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.