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Academic Journal

Decision regret after prostate biopsy for prostate cancer diagnosis: a Korean multicenter cohort study.

Authors : Kim, Hwanik¹ (AUTHOR); Bang, Woojin¹ (AUTHOR); Shim, Myungsun¹ (AUTHOR)

Subjects: *PROSTATE biopsy; *PROSTATE cancer; *CANCER diagnosis

Source: BMC Public Health. 6/28/2024, Vol. 24 Issue 1, p1-7. 7p.

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Academic Journal

Adaptation of the socioecological model to address disparities in engagement of Black men in prostate cancer genetic testing.

Authors : Leader, Amy E.¹ (AUTHOR); Rebbeck, Timothy R.² (AUTHOR); Oh, William K.³ (AUTHOR)

Subjects: *BLACK men; *MEDICAL personnel; *PROSTATE cancer patients

Source: BMC Public Health. 9/17/2024, Vol. 24 Issue 1, p1-13. 13p.

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Academic Journal

Association between vitamin B2 intake and prostate-specific antigen in American men: 2003–2010 National Health and Nutrition Examination Survey.

Authors : Lv, Jia-jie^1,2 (AUTHOR); Zhang, Lin-jie^1,2 (AUTHOR); Kong, Xiang-Meng³ (AUTHOR)

Subjects: *PROSTATE cancer; *VITAMIN B2; *NATIONAL Health & Nutrition Examination Survey

Source: BMC Public Health. 5/3/2024, Vol. 24 Issue 1, p1-11. 11p.

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Academic Journal

Trends in suicide mortality among prostate cancer survivors in the United States, 1975–2019.

Authors : Wan, Hao¹ (AUTHOR); Zhan, Xiangpeng¹ (AUTHOR); Xiong, Situ¹ (AUTHOR)

Subjects: *SUICIDE; *PROSTATE cancer; *CANCER survivorsUNITED States; UTAH; HAWAII

Source: BMC Public Health. 1/5/2024, Vol. 24 Issue 1, p1-10. 10p.

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Academic Journal

Association of cigarette use with risk of prostate cancer among US males: a cross-sectional study from NHANES 1999–2020

Authors : Xiangwei Yang; Hong Chen; Junfu Zhang

Subjects: Cigarette use; Prostate cancer; Risk

Source: BMC Public Health, Vol 25, Iss 1, Pp 1-8 (2025)

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Academic Journal

Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study.

Authors : Tran, Tao Thi^1,2 (AUTHOR); Lee, Jeonghee³ (AUTHOR); Kim, Junetae¹ (AUTHOR)

Subjects: *MACHINE learning; *MEDICAL sciences; *SUPPORT vector machines

Source: BMC Public Health. 12/20/2024, Vol. 24 Issue 1, p1-12. 12p.

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Academic Journal

Work-related experiences of prostate cancer survivors in Australia: a qualitative study.

Authors : Liu, Wei-Hong^1,2 (AUTHOR) ; Fox, Jennifer¹ (AUTHOR); Yates, Patsy¹ (AUTHOR)

Subjects: *PROSTATE cancer; *CANCER survivors; *MEDICAL personnelAUSTRALIA

Source: BMC Public Health. 9/16/2023, Vol. 23 Issue 1, p1-11. 11p. 2 Charts.

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Academic Journal

Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study

Authors : Tao Thi Tran; Jeonghee Lee; Junetae Kim

Subjects: Prostate cancer; Machine learning; Metabolic syndrome

Source: BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)

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Academic Journal

Uptake of prostate cancer screening and associated factors among men aged 50 years and above in Lira city, Uganda: a cross-sectional study.

Authors : Ekwan, Richard¹ (AUTHOR); Bua, Emmanuel² (AUTHOR); Nantale, Ritah³ (AUTHOR)

Subjects: *PROSTATE cancer; *EARLY detection of cancer; *OLDER menUGANDA

Source: BMC Public Health. 3/6/2023, Vol. 23 Issue 1, p1-8. 8p. 4 Charts.

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Academic Journal

Relationship between universal health insurance benefits and prostate cancer mortality in Colombia

Authors : Emanuel Mejia; Almira G. C. Lewis; Isabel C. Garcés-Palacio

Subjects: Prostate cancer; Colombia; Latin America

Source: BMC Public Health, Vol 24, Iss 1, Pp 1-10 (2024)

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Decision regret after prostate biopsy for prostate cancer diagnosis: a Korean multicenter cohort study.

Adaptation of the socioecological model to address disparities in engagement of Black men in prostate cancer genetic testing.

Association between vitamin B2 intake and prostate-specific antigen in American men: 2003–2010 National Health and Nutrition Examination Survey.

Trends in suicide mortality among prostate cancer survivors in the United States, 1975–2019.

Association of cigarette use with risk of prostate cancer among US males: a cross-sectional study from NHANES 1999–2020

Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study.

Work-related experiences of prostate cancer survivors in Australia: a qualitative study.

Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study

Uptake of prostate cancer screening and associated factors among men aged 50 years and above in Lira city, Uganda: a cross-sectional study.

Relationship between universal health insurance benefits and prostate cancer mortality in Colombia

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