A framework for personalized mammogram screening
Breast cancer screening guidelines serve as crucial evidence-based recommendations in deciding when to begin regular screenings. However, due to developments in breast cancer research and differences in research interpretation, screening guidelines can vary between organizations and within organizat...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-09-01
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| Series: | Preventive Medicine Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211335521001364 |
| _version_ | 1819138030736244736 |
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| author | Dinesh Pal Mudaranthakam Michele Park Jeffrey Thompson Alexander M. Alsup Ron Krebill Lynn Chollet Hinton Jinxiang Hu Byron Gajewski Andrew Godwin Matthew S Mayo Jo Wick Lisa Harlan-Williams Jianghua He Tami Gurley-Calvez |
| author_facet | Dinesh Pal Mudaranthakam Michele Park Jeffrey Thompson Alexander M. Alsup Ron Krebill Lynn Chollet Hinton Jinxiang Hu Byron Gajewski Andrew Godwin Matthew S Mayo Jo Wick Lisa Harlan-Williams Jianghua He Tami Gurley-Calvez |
| author_sort | Dinesh Pal Mudaranthakam |
| collection | DOAJ |
| description | Breast cancer screening guidelines serve as crucial evidence-based recommendations in deciding when to begin regular screenings. However, due to developments in breast cancer research and differences in research interpretation, screening guidelines can vary between organizations and within organizations over time. This leads to significant lapses in adopting updated guidelines, variable decision making between physicians, and unnecessary screening for low to moderate risk patients (Jacobson and Kadiyala, 2017; Corbelli et al., 2014).For analysis, risk factors were assessed for patient screening behaviors and results. The outcome variable for the first analysis was whether the patient had undergone screening. The risk factors considered were age, marital status, education level, rural versus urban residence, and family history of breast cancer. The outcome variable for the second analysis was whether patients who had undergone breast cancer screening presented abnormal results. The risk factors considered were age, Body Mass Index, family history, smoking and alcohol status, hormonal contraceptive use, Hormone Replacement Therapy use, age of first pregnancy, number of pregnancies (parity), age of first menses, rural versus urban residence, and whether or not patients had at least one child.Logistic regression analysis displayed strong associations for both outcome variables. Risk of screening nonattendance was negatively associated with age as a continuous variable, age as a dichotomous variable, being married, any college education, and family history. Risk of one or more abnormal mammogram findings was positively associated with family history, and hormonal contraceptive use. This procedure will be further developed to incorporate additional risk factors and refine the analysis of currently implemented risk factors. |
| first_indexed | 2024-12-22T11:00:17Z |
| format | Article |
| id | doaj.art-6ce292b1a48a431bbce48d8f4b02a31a |
| institution | Directory Open Access Journal |
| issn | 2211-3355 |
| language | English |
| last_indexed | 2024-12-22T11:00:17Z |
| publishDate | 2021-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Preventive Medicine Reports |
| spelling | doaj.art-6ce292b1a48a431bbce48d8f4b02a31a2022-12-21T18:28:31ZengElsevierPreventive Medicine Reports2211-33552021-09-0123101446A framework for personalized mammogram screeningDinesh Pal Mudaranthakam0Michele Park1Jeffrey Thompson2Alexander M. Alsup3Ron Krebill4Lynn Chollet Hinton5Jinxiang Hu6Byron Gajewski7Andrew Godwin8Matthew S Mayo9Jo Wick10Lisa Harlan-Williams11Jianghua He12Tami Gurley-Calvez13Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA; The University of Kansas Cancer Center, Kansas City, KS, USA; Corresponding author at: Department of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA.The University of Kansas Cancer Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA; The University of Kansas Cancer Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA; The University of Kansas Cancer Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA; The University of Kansas Cancer Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA; The University of Kansas Cancer Center, Kansas City, KS, USAThe University of Kansas Cancer Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA; The University of Kansas Cancer Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USA; The University of Kansas Cancer Center, Kansas City, KS, USAThe University of Kansas Cancer Center, Kansas City, KS, USA; Department of Anatomy and Cell Biology, University of Kansas, Medical Center, Kansas City, KS, USADepartment of Biostatistics & Data Science, University of Kansas, Medical Center, Kansas City, KS, USAPopulation Health, University of Kansas, Medical Center, Kansas City, KS, USABreast cancer screening guidelines serve as crucial evidence-based recommendations in deciding when to begin regular screenings. However, due to developments in breast cancer research and differences in research interpretation, screening guidelines can vary between organizations and within organizations over time. This leads to significant lapses in adopting updated guidelines, variable decision making between physicians, and unnecessary screening for low to moderate risk patients (Jacobson and Kadiyala, 2017; Corbelli et al., 2014).For analysis, risk factors were assessed for patient screening behaviors and results. The outcome variable for the first analysis was whether the patient had undergone screening. The risk factors considered were age, marital status, education level, rural versus urban residence, and family history of breast cancer. The outcome variable for the second analysis was whether patients who had undergone breast cancer screening presented abnormal results. The risk factors considered were age, Body Mass Index, family history, smoking and alcohol status, hormonal contraceptive use, Hormone Replacement Therapy use, age of first pregnancy, number of pregnancies (parity), age of first menses, rural versus urban residence, and whether or not patients had at least one child.Logistic regression analysis displayed strong associations for both outcome variables. Risk of screening nonattendance was negatively associated with age as a continuous variable, age as a dichotomous variable, being married, any college education, and family history. Risk of one or more abnormal mammogram findings was positively associated with family history, and hormonal contraceptive use. This procedure will be further developed to incorporate additional risk factors and refine the analysis of currently implemented risk factors.http://www.sciencedirect.com/science/article/pii/S2211335521001364Breast cancer screeningMammogramCancer risk factorsPreventive task force |
| spellingShingle | Dinesh Pal Mudaranthakam Michele Park Jeffrey Thompson Alexander M. Alsup Ron Krebill Lynn Chollet Hinton Jinxiang Hu Byron Gajewski Andrew Godwin Matthew S Mayo Jo Wick Lisa Harlan-Williams Jianghua He Tami Gurley-Calvez A framework for personalized mammogram screening Preventive Medicine Reports Breast cancer screening Mammogram Cancer risk factors Preventive task force |
| title | A framework for personalized mammogram screening |
| title_full | A framework for personalized mammogram screening |
| title_fullStr | A framework for personalized mammogram screening |
| title_full_unstemmed | A framework for personalized mammogram screening |
| title_short | A framework for personalized mammogram screening |
| title_sort | framework for personalized mammogram screening |
| topic | Breast cancer screening Mammogram Cancer risk factors Preventive task force |
| url | http://www.sciencedirect.com/science/article/pii/S2211335521001364 |
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