Comparing Breast Cancer Risk Assessment Models

Gail and Mai discuss Amir et al's study reviewing models for estimating the probability of carrying a mutation in the Breast Cancer Risk Assessment (BRCA1 or BRCA2) genes and models for estimating the risk of developing breast cancer. The aim of the review was to distill the diverse literature...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:JNCI : Journal of the National Cancer Institute 2010-05, Vol.102 (10), p.665-668
Hauptverfasser: Gail, Mitchell H., Mai, Phuong L.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 668
container_issue 10
container_start_page 665
container_title JNCI : Journal of the National Cancer Institute
container_volume 102
creator Gail, Mitchell H.
Mai, Phuong L.
description Gail and Mai discuss Amir et al's study reviewing models for estimating the probability of carrying a mutation in the Breast Cancer Risk Assessment (BRCA1 or BRCA2) genes and models for estimating the risk of developing breast cancer. The aim of the review was to distill the diverse literature and provide practicing clinicians with an overview of the available risk assessment methods. Arnir et al describe the risk factors that are used in various models for predicting breast cancer risk. Other differences among these models are also important.
doi_str_mv 10.1093/jnci/djq141
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_733108777</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2058453241</sourcerecordid><originalsourceid>FETCH-LOGICAL-c390t-ccc4936b083f8aacf7582185534b283079fdd7cf77a2597352db74d81bfeafea3</originalsourceid><addsrcrecordid>eNpdkM1Lw0AQxRdRbK2evEvw4kHS7lcym2NbtBWrgiiUXpbNZiNpm6TdTUH_e7ek9uAwMDDz473hIXRNcJ_ghA2WlS4G2XJLODlBXcJjHFKCo1PUxZhCKATwDrpwbol9JZSfow7FnAKnSRf1x3W5UbaovoKRNco1wVhV2tjgvXCrYOicca40VRO81JlZu0t0lqu1M1eH2UOfjw8f42k4e5s8jYezULMEN6HWmicsTrFguVBK5xAJSkQUMZ5SwTAkeZaBX4OiUQIsolkKPBMkzY3yzXrortXd2Hq7M66RZeG0Wa9VZeqdk8AYwQIAPHn7j1zWO1v55ySDaO8YEw_dt5C2tXPW5HJji1LZH0mw3Ico9yHKNkRP3xwkd2lpsiP7l5oHwhYoXGO-j3dlVzIG7yqn84UcLSbwOn8G-cx-AcW7e84</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>375553461</pqid></control><display><type>article</type><title>Comparing Breast Cancer Risk Assessment Models</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Alma/SFX Local Collection</source><creator>Gail, Mitchell H. ; Mai, Phuong L.</creator><creatorcontrib>Gail, Mitchell H. ; Mai, Phuong L.</creatorcontrib><description>Gail and Mai discuss Amir et al's study reviewing models for estimating the probability of carrying a mutation in the Breast Cancer Risk Assessment (BRCA1 or BRCA2) genes and models for estimating the risk of developing breast cancer. The aim of the review was to distill the diverse literature and provide practicing clinicians with an overview of the available risk assessment methods. Arnir et al describe the risk factors that are used in various models for predicting breast cancer risk. Other differences among these models are also important.</description><identifier>ISSN: 0027-8874</identifier><identifier>EISSN: 1460-2105</identifier><identifier>DOI: 10.1093/jnci/djq141</identifier><identifier>PMID: 20427429</identifier><identifier>CODEN: JNCIEQ</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Breast cancer ; Breast Neoplasms - epidemiology ; Breast Neoplasms - etiology ; Breast Neoplasms - genetics ; Breast Neoplasms - prevention &amp; control ; Decision Support Techniques ; Female ; Genes, BRCA1 ; Genes, BRCA2 ; Genetic Predisposition to Disease ; Genetic Testing ; Germ-Line Mutation ; Humans ; Mammography ; Mass Screening ; Models, Statistical ; Mutation ; Population Surveillance ; Predictive Value of Tests ; Risk Assessment ; Risk Factors ; United Kingdom - epidemiology ; United States - epidemiology</subject><ispartof>JNCI : Journal of the National Cancer Institute, 2010-05, Vol.102 (10), p.665-668</ispartof><rights>Copyright Oxford Publishing Limited(England) May 19, 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-ccc4936b083f8aacf7582185534b283079fdd7cf77a2597352db74d81bfeafea3</citedby><cites>FETCH-LOGICAL-c390t-ccc4936b083f8aacf7582185534b283079fdd7cf77a2597352db74d81bfeafea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20427429$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gail, Mitchell H.</creatorcontrib><creatorcontrib>Mai, Phuong L.</creatorcontrib><title>Comparing Breast Cancer Risk Assessment Models</title><title>JNCI : Journal of the National Cancer Institute</title><addtitle>J Natl Cancer Inst</addtitle><description>Gail and Mai discuss Amir et al's study reviewing models for estimating the probability of carrying a mutation in the Breast Cancer Risk Assessment (BRCA1 or BRCA2) genes and models for estimating the risk of developing breast cancer. The aim of the review was to distill the diverse literature and provide practicing clinicians with an overview of the available risk assessment methods. Arnir et al describe the risk factors that are used in various models for predicting breast cancer risk. Other differences among these models are also important.</description><subject>Breast cancer</subject><subject>Breast Neoplasms - epidemiology</subject><subject>Breast Neoplasms - etiology</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - prevention &amp; control</subject><subject>Decision Support Techniques</subject><subject>Female</subject><subject>Genes, BRCA1</subject><subject>Genes, BRCA2</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic Testing</subject><subject>Germ-Line Mutation</subject><subject>Humans</subject><subject>Mammography</subject><subject>Mass Screening</subject><subject>Models, Statistical</subject><subject>Mutation</subject><subject>Population Surveillance</subject><subject>Predictive Value of Tests</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>United Kingdom - epidemiology</subject><subject>United States - epidemiology</subject><issn>0027-8874</issn><issn>1460-2105</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkM1Lw0AQxRdRbK2evEvw4kHS7lcym2NbtBWrgiiUXpbNZiNpm6TdTUH_e7ek9uAwMDDz473hIXRNcJ_ghA2WlS4G2XJLODlBXcJjHFKCo1PUxZhCKATwDrpwbol9JZSfow7FnAKnSRf1x3W5UbaovoKRNco1wVhV2tjgvXCrYOicca40VRO81JlZu0t0lqu1M1eH2UOfjw8f42k4e5s8jYezULMEN6HWmicsTrFguVBK5xAJSkQUMZ5SwTAkeZaBX4OiUQIsolkKPBMkzY3yzXrortXd2Hq7M66RZeG0Wa9VZeqdk8AYwQIAPHn7j1zWO1v55ySDaO8YEw_dt5C2tXPW5HJji1LZH0mw3Ico9yHKNkRP3xwkd2lpsiP7l5oHwhYoXGO-j3dlVzIG7yqn84UcLSbwOn8G-cx-AcW7e84</recordid><startdate>20100519</startdate><enddate>20100519</enddate><creator>Gail, Mitchell H.</creator><creator>Mai, Phuong L.</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20100519</creationdate><title>Comparing Breast Cancer Risk Assessment Models</title><author>Gail, Mitchell H. ; Mai, Phuong L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-ccc4936b083f8aacf7582185534b283079fdd7cf77a2597352db74d81bfeafea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Breast cancer</topic><topic>Breast Neoplasms - epidemiology</topic><topic>Breast Neoplasms - etiology</topic><topic>Breast Neoplasms - genetics</topic><topic>Breast Neoplasms - prevention &amp; control</topic><topic>Decision Support Techniques</topic><topic>Female</topic><topic>Genes, BRCA1</topic><topic>Genes, BRCA2</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetic Testing</topic><topic>Germ-Line Mutation</topic><topic>Humans</topic><topic>Mammography</topic><topic>Mass Screening</topic><topic>Models, Statistical</topic><topic>Mutation</topic><topic>Population Surveillance</topic><topic>Predictive Value of Tests</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>United Kingdom - epidemiology</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gail, Mitchell H.</creatorcontrib><creatorcontrib>Mai, Phuong L.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>JNCI : Journal of the National Cancer Institute</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gail, Mitchell H.</au><au>Mai, Phuong L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparing Breast Cancer Risk Assessment Models</atitle><jtitle>JNCI : Journal of the National Cancer Institute</jtitle><addtitle>J Natl Cancer Inst</addtitle><date>2010-05-19</date><risdate>2010</risdate><volume>102</volume><issue>10</issue><spage>665</spage><epage>668</epage><pages>665-668</pages><issn>0027-8874</issn><eissn>1460-2105</eissn><coden>JNCIEQ</coden><abstract>Gail and Mai discuss Amir et al's study reviewing models for estimating the probability of carrying a mutation in the Breast Cancer Risk Assessment (BRCA1 or BRCA2) genes and models for estimating the risk of developing breast cancer. The aim of the review was to distill the diverse literature and provide practicing clinicians with an overview of the available risk assessment methods. Arnir et al describe the risk factors that are used in various models for predicting breast cancer risk. Other differences among these models are also important.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>20427429</pmid><doi>10.1093/jnci/djq141</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0027-8874
ispartof JNCI : Journal of the National Cancer Institute, 2010-05, Vol.102 (10), p.665-668
issn 0027-8874
1460-2105
language eng
recordid cdi_proquest_miscellaneous_733108777
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection
subjects Breast cancer
Breast Neoplasms - epidemiology
Breast Neoplasms - etiology
Breast Neoplasms - genetics
Breast Neoplasms - prevention & control
Decision Support Techniques
Female
Genes, BRCA1
Genes, BRCA2
Genetic Predisposition to Disease
Genetic Testing
Germ-Line Mutation
Humans
Mammography
Mass Screening
Models, Statistical
Mutation
Population Surveillance
Predictive Value of Tests
Risk Assessment
Risk Factors
United Kingdom - epidemiology
United States - epidemiology
title Comparing Breast Cancer Risk Assessment Models
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T23%3A29%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparing%20Breast%20Cancer%20Risk%20Assessment%20Models&rft.jtitle=JNCI%20:%20Journal%20of%20the%20National%20Cancer%20Institute&rft.au=Gail,%20Mitchell%20H.&rft.date=2010-05-19&rft.volume=102&rft.issue=10&rft.spage=665&rft.epage=668&rft.pages=665-668&rft.issn=0027-8874&rft.eissn=1460-2105&rft.coden=JNCIEQ&rft_id=info:doi/10.1093/jnci/djq141&rft_dat=%3Cproquest_cross%3E2058453241%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=375553461&rft_id=info:pmid/20427429&rfr_iscdi=true