Ok ong'ere malong'o gimomiyo ng'ato nyalo bedo gi kansa mar prostate, kata kamano, nitie gik mang'eny moseng'ere manyalo miyo ng'ato obed gi tuwo mar kansa mar prostate.
Moko kuom gigo gin:
1. Higni: Bedo gi tuwo mar kansa mar prostate medore kaka ng'ato medo bedo moti, kendo thoth joma yudo tuwono gin chwo ma hikgi osekalo 65.
2. Weche mag anyuola: Chwo ma nigi tuwo mar kansa mar prostate e anyuola, to moloyo wuoro kata owadgi ma nigi tuwono, nigi hinyruok mang'eny.
3. Dhoudi: Chwo ma Jo-Amerka ma Jo-Afrika nigi hinyruok maduong' mar bedo gi kansa mar prostate moloyo chwo ma Jo-Amerka mamoko.
4. Chiemo: Chiemo moting'o mo mang'eny, to moloyo mo mag le, nyalo miyo ng'ato obed gi tuwo mar kansa mar prostate.
5. Bedo gi del mapek: Bedo gi del mapek kata bedo gi del mapek nyalo miyo ng'ato obed gi kansa mar prostate.
6. Hormones: Testosterone kod hormone mamoko mag chwo mang'eny nyalo miyo ng'ato obed gi kansa mar prostate.
7. Tuwo: Tuwo ma ok rum mar prostate, kaka prostatitis, nyalo miyo ng'ato obed gi tuwo mar kansa mar prostate.
8. Lokruok mar anyuola: Lokruok moko mag anyuola, kaka ma yudore e BRCA1 kod BRCA2, nyalo miyo ng'ato obed gi tuwo mar kansa mar prostate.
Ber ng'eyo ni bedo gi achiel kata mokalo kuomgi ok nyis ni ng'ato biro bedo gi tuwo mar kansa mar prostate, kendo chwo mang'eny ma nigi tuwo mar kansa mar prostate onge gi tuwo mar kansa mar prostate.
E wi mano, nitie nonro matimore mondo ong'e gimomiyo ng'ato nyalo bedo gi kansa mar prostate, kendo mondo ong'e gik mamoko manyalo miyo ng'ato obed gi kansa mar prostate.
Riihimäki M, Thomsen H, Brandt A, Sundquist J, Hemminki K: What do prostate cancer patients die of? Oncologist. 2011, 16 (2): 175-81.
Gilligan T: Social disparities and prostate cancer: mapping the gaps in our knowledge. Cancer Causes Control. 2005, 16 (1): 45-53.
Newschaffer CJ, Otani K, McDonald MK, Penberthy LT: Causes of death in elderly prostate cancer patients and in a comparison nonprostate cancer cohort. J Natl Cancer Inst. 2000, 92 (8): 613-21.
Frydenberg M, Wijesinha S: Diagnosing prostate cancer - what GPs need to know. Aust Fam Physician. 2007, 36 (5): 345-7.
Shimodaira K, Nakashima J, Nakagami Y, Hirasawa Y, Hashimoto T, Satake N, Gondo T, Namiki K, Ohori M, Ohno Y: Prognostic Value of Platelet Counts in Patients with Metastatic Prostate Cancer Treated with Endocrine Therapy. Urol J. 2020, 17 (1): 42-49.
Martínez-Salamanca JI, Ballesteros CM, Carballido Rodríguez J: [Epidemiological fundamentals of clinically localized prostate cancer]. Arch Esp Urol. 2011, 64 (8): 703-10.
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What causes prostate cancer?
The exact cause of prostate cancer is not known, but several factors have been identified that may increase the risk of developing the disease.
These include:
1. Age: The risk of prostate cancer increases with age, with most cases occurring in men over the age of 65.
2. Family history: Men with a family history of prostate cancer, particularly a father or brother with the disease, are at a higher risk.
3. Race: African American men have a higher risk of developing prostate cancer than men of other races.
4. Diet: A diet high in fat, particularly animal fat, may increase the risk of prostate cancer.
5. Obesity: Being overweight or obese may increase the risk of developing prostate cancer.
6. Hormones: High levels of testosterone and other male hormones may increase the risk of prostate cancer.
7. Inflammation: Chronic inflammation of the prostate, such as prostatitis, may increase the risk of prostate cancer.
8. Genetics: Certain inherited genetic mutations, such as those in the BRCA1 and BRCA2 genes, may increase the risk of prostate cancer.
It is important to note that having one or more of these risk factors does not mean that a man will definitely develop prostate cancer, and many men with prostate cancer have no known risk factors.
Additionally, research is ongoing to better understand the causes of prostate cancer and identify additional risk factors.
Disclaimer: medical
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Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
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Chiegni ni
BioMedLib tiyo gi kompyuta ma tiyo gi masinde (ma iluongo ni machine-learning algorithms) e loso penjo gi dwoko.
Ne wachako gi buge milion 35 mag weche thieth miluongo ni PubMed/Medline. Bende, ne wachako gi buge mag RefinedWeb.