Literature DB >> 25722355

Twenty-five years of breast cancer risk models and their applications.

Mitchell H Gail.   

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Year:  2015        PMID： 25722355      PMCID： PMC4651108          DOI： 10.1093/jnci/djv042

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN： 0027-8874            Impact factor:   13.506


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  46 in total

1.  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.

Authors:  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; André Robidoux; Richard G Margolese; Joan James; Scott M Lippman; Carolyn D Runowicz; Patricia A Ganz; Steven E Reis; Worta McCaskill-Stevens; Leslie G Ford; V Craig Jordan; Norman Wolmark
Journal:  JAMA       Date:  2006-06-05       Impact factor: 56.272

2.  Cumulative absolute breast cancer risk for young women treated for Hodgkin lymphoma.

Authors:  Lois B Travis; Deirdre Hill; Graça M Dores; Mary Gospodarowicz; Flora E van Leeuwen; Eric Holowaty; Bengt Glimelius; Michael Andersson; Eero Pukkala; Charles F Lynch; David Pee; Susan A Smith; Mars B Van't Veer; Timo Joensuu; Hans Storm; Marilyn Stovall; John D Boice; Ethel Gilbert; Mitchell H Gail
Journal:  J Natl Cancer Inst       Date:  2005-10-05       Impact factor: 13.506

3.  Probability of carrying a mutation of breast-ovarian cancer gene BRCA1 based on family history.

Authors:  D A Berry; G Parmigiani; J Sanchez; J Schildkraut; E Winer
Journal:  J Natl Cancer Inst       Date:  1997-02-05       Impact factor: 13.506

4.  Validation of the Gail et al. model of breast cancer risk prediction and implications for chemoprevention.

Authors:  B Rockhill; D Spiegelman; C Byrne; D J Hunter; G A Colditz
Journal:  J Natl Cancer Inst       Date:  2001-03-07       Impact factor: 13.506

5.  Using multiple risk models with preventive interventions.

Authors:  Mitchell H Gail
Journal:  Stat Med       Date:  2012-06-26       Impact factor: 2.373

6.  Effect of changing breast cancer incidence rates on the calibration of the Gail model.

Authors:  Sara J Schonfeld; David Pee; Robert T Greenlee; Patricia Hartge; James V Lacey; Yikyung Park; Arthur Schatzkin; Kala Visvanathan; Ruth M Pfeiffer
Journal:  J Clin Oncol       Date:  2010-04-05       Impact factor: 44.544

Review 7.  Assessing women at high risk of breast cancer: a review of risk assessment models.

Authors:  Eitan Amir; Orit C Freedman; Bostjan Seruga; D Gareth Evans
Journal:  J Natl Cancer Inst       Date:  2010-04-28       Impact factor: 13.506

8.  Risk-based recommendations for mammographic screening for women in their forties.

Authors:  M Gail; B Rimer
Journal:  J Clin Oncol       Date:  1998-09       Impact factor: 44.544

9.  Risk of familial breast cancer.

Authors:  D E Anderson; M D Badzioch
Journal:  Cancer       Date:  1985-07-15       Impact factor: 6.860

10.  Novel breast tissue feature strongly associated with risk of breast cancer.

Authors:  Kevin P McKian; Carol A Reynolds; Daniel W Visscher; Aziza Nassar; Derek C Radisky; Robert A Vierkant; Amy C Degnim; Judy C Boughey; Karthik Ghosh; Stephanie S Anderson; Douglas Minot; Jill L Caudill; Celine M Vachon; Marlene H Frost; V Shane Pankratz; Lynn C Hartmann
Journal:  J Clin Oncol       Date:  2009-10-05       Impact factor: 44.544
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  16 in total

1.  Investigation of the significance of population-based breast cancer screening among women aged under 40 years.

Authors:  Mai Okazaki; Hiroko Bando; Eriko Tohno; Yuka Kujiraoka; Akiko Iguchi-Manaka; Emika Ichioka; Yukiko Tsushima; Hiroshi Watanabe; Hisato Hara
Journal:  Breast Cancer       Date:  2020-07-08       Impact factor: 4.239

Review 2.  State of the evidence 2017: an update on the connection between breast cancer and the environment.

Authors:  Janet M Gray; Sharima Rasanayagam; Connie Engel; Jeanne Rizzo
Journal:  Environ Health       Date:  2017-09-02       Impact factor: 5.984

3.  Risk-reducing medications for primary breast cancer: a network meta-analysis.

Authors:  Simone Mocellin; Annabel Goodwin; Sandro Pasquali
Journal:  Cochrane Database Syst Rev       Date:  2019-04-29

Review 4.  Functions of Breast Cancer Predisposition Genes: Implications for Clinical Management.

Authors:  Akiyo Yoshimura; Issei Imoto; Hiroji Iwata
Journal:  Int J Mol Sci       Date:  2022-07-05       Impact factor: 6.208

5.  Comparison of screening scores for diabetes and prediabetes.

Authors:  Eduard Poltavskiy; Dae Jung Kim; Heejung Bang
Journal:  Diabetes Res Clin Pract       Date:  2016-06-18       Impact factor: 5.602

Review 6.  Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review.

Authors:  Barbara Kenner; Suresh T Chari; David Kelsen; David S Klimstra; Stephen J Pandol; Michael Rosenthal; Anil K Rustgi; James A Taylor; Adam Yala; Noura Abul-Husn; Dana K Andersen; David Bernstein; Søren Brunak; Marcia Irene Canto; Yonina C Eldar; Elliot K Fishman; Julie Fleshman; Vay Liang W Go; Jane M Holt; Bruce Field; Ann Goldberg; William Hoos; Christine Iacobuzio-Donahue; Debiao Li; Graham Lidgard; Anirban Maitra; Lynn M Matrisian; Sung Poblete; Laura Rothschild; Chris Sander; Lawrence H Schwartz; Uri Shalit; Sudhir Srivastava; Brian Wolpin
Journal:  Pancreas       Date:  2021-03-01       Impact factor: 3.243

7.  Deep learning in breast cancer risk assessment: evaluation of convolutional neural networks on a clinical dataset of full-field digital mammograms.

Authors:  Hui Li; Maryellen L Giger; Benjamin Q Huynh; Natalia O Antropova
Journal:  J Med Imaging (Bellingham)       Date:  2017-09-13

8.  A Risk Assessment Comparison of Breast Cancer and Factors Affected to Risk Perception of Women in Turkey: A Cross-sectional Study.

Authors:  Serpil Yüksel; Gülay Altun Uğraş; İkbal Çavdar; Atilla Bozdoğan; Sibel Özkan Gürdal; Neriman Akyolcu; Ecem Esencan; Gamze Varol Saraçoğlu; Vahit Özmen
Journal:  Iran J Public Health       Date:  2017-03       Impact factor: 1.429

9.  Disentangling the determinants of interest and willingness-to-pay for breast cancer susceptibility testing in the general population: a cross-sectional Web-based survey among women of Québec (Canada).

Authors:  Jolyane Blouin-Bougie; Nabil Amara; Karine Bouchard; Jacques Simard; Michel Dorval
Journal:  BMJ Open       Date:  2018-02-27       Impact factor: 2.692

10.  Developing a risk prediction model for breast cancer: a Statistical Utility to Determine Affinity of Neoplasm (SUDAN-CA Breast).

Authors:  Alaaddin M Salih; Dafallah M Alam-Elhuda; Musab M Alfaki; Adil E Yousif; Momin M Nouradyem
Journal:  Eur J Med Res       Date:  2017-09-29       Impact factor: 2.175
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