Menu
×
Main Library
2 p.m. – 5 p.m.
Phone: (843) 805-6930
West Ashley Library
Closed
Phone: (843) 766-6635
Wando Mount Pleasant Library
Closed
Phone: (843) 805-6888
McClellanville Library
Closed
Phone: (843) 887-3699
Folly Beach Library
Closed
Phone: (843) 588-2001
Miss Jane's Building (Edisto Library Temporary Location)
Closed for renovations
Phone: (843) 869-2355
John L. Dart Library
Closed
Phone: (843) 722-7550
St. Paul's/Hollywood Library
Closed
Phone: (843) 889-3300
Mt. Pleasant Library
Closed
Phone: (843) 849-6161
Dorchester Road Library
Closed
Phone: (843) 552-6466
Edgar Allan Poe/Sullivan's Island Library
Closed
Phone: (843) 883-3914
John's Island Library
Closed
Phone: (843) 559-1945
Otranto Road Library
Closed
Phone: (843) 572-4094
Hurd/St. Andrews Library
Closed
Phone: (843) 766-2546
Baxter-Patrick James Island
Closed
Phone: (843) 795-6679
Bees Ferry West Ashley Library
Closed
Phone: (843) 805-6892
Village Library
Closed
Phone: (843) 884-9741
Keith Summey North Charleston Library
Closed
Phone: (843) 744-2489
Mobile Library
Closed
Phone: (843) 805-6909
Today's Hours
Main Library
2 p.m. – 5 p.m.
Phone: (843) 805-6930
West Ashley Library
Closed
Phone: (843) 766-6635
Wando Mount Pleasant Library
Closed
Phone: (843) 805-6888
McClellanville Library
Closed
Phone: (843) 887-3699
Folly Beach Library
Closed
Phone: (843) 588-2001
Miss Jane's Building (Edisto Library Temporary Location)
Closed for renovations
Phone: (843) 869-2355
John L. Dart Library
Closed
Phone: (843) 722-7550
St. Paul's/Hollywood Library
Closed
Phone: (843) 889-3300
Mt. Pleasant Library
Closed
Phone: (843) 849-6161
Dorchester Road Library
Closed
Phone: (843) 552-6466
Edgar Allan Poe/Sullivan's Island Library
Closed
Phone: (843) 883-3914
John's Island Library
Closed
Phone: (843) 559-1945
Otranto Road Library
Closed
Phone: (843) 572-4094
Hurd/St. Andrews Library
Closed
Phone: (843) 766-2546
Baxter-Patrick James Island
Closed
Phone: (843) 795-6679
Bees Ferry West Ashley Library
Closed
Phone: (843) 805-6892
Village Library
Closed
Phone: (843) 884-9741
Keith Summey North Charleston Library
Closed
Phone: (843) 744-2489
Mobile Library
Closed
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
The Prognostic Quality of Risk Prediction Models to Assess the Individual Breast Cancer Risk in Women: An Overview of Reviews.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Wolf, Sarah; Zechmeister-Koss, Ingrid; Fruehwirth, Irmgard
- Source:
Breast Journal. 3/21/2024, Vol. 2024, p1-12. 12p. - Source:
- Additional Information
- Subject Terms:
- Abstract: Purpose. Breast cancer is the most common cancer among women globally, with an incidence of approximately two million cases in 2018. Organised age-based breast cancer screening programs were established worldwide to detect breast cancer earlier and to reduce mortality. Currently, there is substantial anticipation regarding risk-adjusted screening programs, considering various risk factors in addition to age. The present study investigated the discriminatory accuracy of breast cancer risk prediction models and whether they suit risk-based screening programs. Methods. Following the PICO scheme, we conducted an overview of reviews and systematically searched four databases. All methodological steps, including the literature selection, data extraction and synthesis, and the quality appraisal were conducted following the 4-eyes principle. For the quality assessment, the AMSTAR 2 tool was used. Results. We included eight systematic reviews out of 833 hits based on the prespecified inclusion criteria. The eight systematic reviews comprised ninety-nine primary studies that were also considered for the data analysis. Three systematic reviews were assessed as having a high risk of bias, while the others were rated with a moderate or low risk of bias. Most identified breast cancer risk prediction models showed a low prognostic quality. Adding breast density and genetic information as risk factors only moderately improved the models' discriminatory accuracy. Conclusion. All breast cancer risk prediction models published to date show a limited ability to predict the individual breast cancer risk in women. Hence, it is too early to implement them in national breast cancer screening programs. Relevant randomised controlled trials about the benefit-harm ratio of risk-adjusted breast cancer screening programs compared to conventional age-based programs need to be awaited. [ABSTRACT FROM AUTHOR]
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.