Literature DB >> 35026024

Toward Using Breast Cancer Risk Prediction Models for Guiding Screening Decisions.

Chaya S Moskowitz1.   

Abstract

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Year:  2022        PMID： 35026024      PMCID： PMC9086802          DOI： 10.1093/jnci/djac009

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN： 0027-8874            Impact factor:   11.816


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  10 in total

1.  Prognosis and prognostic research: validating a prognostic model.

Authors:  Douglas G Altman; Yvonne Vergouwe; Patrick Royston; Karel G M Moons
Journal:  BMJ       Date:  2009-05-28

2.  Imaging Surveillance of Breast Cancer Survivors with Digital Mammography versus Digital Breast Tomosynthesis.

Authors:  Manisha Bahl; Sarah Mercaldo; Anne Marie McCarthy; Constance D Lehman
Journal:  Radiology       Date:  2020-12-22       Impact factor: 11.105

3.  Digital Mammography versus Digital Mammography Plus Tomosynthesis in Breast Cancer Screening: The Oslo Tomosynthesis Screening Trial.

Authors:  Per Skaane; Andriy I Bandos; Loren T Niklason; Sofie Sebuødegård; Bjørn H Østerås; Randi Gullien; David Gur; Solveig Hofvind
Journal:  Radiology       Date:  2019-02-19       Impact factor: 11.105

4.  Beneficial Effect of Consecutive Screening Mammography Examinations on Mortality from Breast Cancer: A Prospective Study.

Authors:  Stephen W Duffy; László Tabár; Amy Ming-Fang Yen; Peter B Dean; Robert A Smith; Håkan Jonsson; Sven Törnberg; Sherry Yueh-Hsia Chiu; Sam Li-Sheng Chen; Grace Hsiao-Hsuan Jen; May Mei-Sheng Ku; Chen-Yang Hsu; Johan Ahlgren; Roberta Maroni; Lars Holmberg; Tony Hsiu-Hsi Chen
Journal:  Radiology       Date:  2021-03-02       Impact factor: 11.105

5.  Cumulative Advanced Breast Cancer Risk Prediction Model Developed in a Screening Mammography Population.

Authors:  Karla Kerlikowske; Shuai Chen; Marzieh K Golmakani; Brian L Sprague; Jeffrey A Tice; Anna N A Tosteson; Garth H Rauscher; Louise M Henderson; Diana S M Buist; Janie M Lee; Charlotte C Gard; Diana L Miglioretti
Journal:  J Natl Cancer Inst       Date:  2022-05-09       Impact factor: 11.816

6.  Evaluating the impact of prediction models: lessons learned, challenges, and recommendations.

Authors:  Teus H Kappen; Wilton A van Klei; Leo van Wolfswinkel; Cor J Kalkman; Yvonne Vergouwe; Karel G M Moons
Journal:  Diagn Progn Res       Date:  2018-06-12

7.  A systematic review and quality assessment of individualised breast cancer risk prediction models.

Authors:  Javier Louro; Margarita Posso; Michele Hilton Boon; Marta Román; Laia Domingo; Xavier Castells; María Sala
Journal:  Br J Cancer       Date:  2019-05-22       Impact factor: 7.640

8.  Adoption of clinical risk prediction tools is limited by a lack of integration with electronic health records.

Authors:  Videha Sharma; Ibrahim Ali; Sabine van der Veer; Glen Martin; John Ainsworth; Titus Augustine
Journal:  BMJ Health Care Inform       Date:  2021-02

9.  Mammography screening reduces rates of advanced and fatal breast cancers: Results in 549,091 women.

Authors:  Stephen W Duffy; László Tabár; Amy Ming-Fang Yen; Peter B Dean; Robert A Smith; Håkan Jonsson; Sven Törnberg; Sam Li-Sheng Chen; Sherry Yueh-Hsia Chiu; Jean Ching-Yuan Fann; May Mei-Sheng Ku; Wendy Yi-Ying Wu; Chen-Yang Hsu; Yu-Ching Chen; Gunilla Svane; Edward Azavedo; Helene Grundström; Per Sundén; Karin Leifland; Ewa Frodis; Joakim Ramos; Birgitta Epstein; Anders Åkerlund; Ann Sundbom; Pál Bordás; Hans Wallin; Leena Starck; Annika Björkgren; Stina Carlson; Irma Fredriksson; Johan Ahlgren; Daniel Öhman; Lars Holmberg; Tony Hsiu-Hsi Chen
Journal:  Cancer       Date:  2020-05-11       Impact factor: 6.860

10.  Understanding providers' attitudes and key concerns toward incorporating CVD risk prediction into clinical practice: a qualitative study.

Authors:  Linda Takamine; Jane Forman; Laura J Damschroder; Bradley Youles; Jeremy Sussman
Journal:  BMC Health Serv Res       Date:  2021-06-07       Impact factor: 2.655
  10 in total

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