Kankere ya mabele ke kankere e e tlwaelegileng thata mo basading mo lefatsheng ka bophara, ka palo e e fopholediwang go dimilione di le 2,3 tsa dikgetsi tse dintšhwa tse di lemogilweng ka 2020, go ya ka Mokgatlho wa Lefatshe wa Boitekanelo (WHO).
Kwa United States, kankere ya mabele ke kankere ya bobedi e e tlwaelegileng thata mo basading, ka palo e e fopholediwang ya 281,5500 ya dikgetsi tse dintšhwa tse di solofetsweng go lemogiwa ka 2021, go ya ka American Cancer Society.
Kotsi ya gore mosadi a nne le kankere ya mabele mo botshelong jwa gagwe e ka nna 1 mo go ba le 8, kgotsa e ka nna 12,9%. Le fa go ntse jalo, go botlhokwa go ela tlhoko gore dipalo tseno ke tse di fopholediwang mme di ka nna tsa farologana go ya ka dilo tse di jaaka dingwaga, dijini, tsela e motho a tshelang ka yone le tikologo.
Zhang ML, Huang ZZ, Zheng Y: [Estimates and prediction on incidence, mortality and prevalence of breast cancer in China, 2008]. Zhonghua Liu Xing Bing Xue Za Zhi. 2012, 33 (10): 1049-51.
Peng J, Ganry O, Tramier B, Dubreuil A, Raverdy N, Thulliez A: [Incidence and prevalence estimations for breast and colorectal cancer in the Picardy region]. Rev Epidemiol Sante Publique. 2002, 50 (5): 427-32.
Liu FC, Lin HT, Kuo CF, See LC, Chiou MJ, Yu HP: Epidemiology and survival outcome of breast cancer in a nationwide study. Oncotarget. 2017, 8 (10): 16939-16950.
Asadzadeh Vostakolaei F, Broeders MJ, Mousavi SM, Kiemeney LA, Verbeek AL: The effect of demographic and lifestyle changes on the burden of breast cancer in Iranian women: a projection to 2030. Breast. 2013, 22 (3): 277-81.
Runco R, Laganà S, Marino G, Di Grazia A, Marino L, Umina V, Girlando A, Ricottone N, D'Agostino A, Marletta F, Tamburo M, Corsaro G, Rallo F, Santacaterina A, Acquaviva G, Crispi M, Palazzolo C, Platania A, Spatola C, Privitera G, Frosina P, Garufi G, Bonanno S, Rosso A, Barone V, Corallo A, Sansotta G, Delia P, Donato V, Lopes S, Pisana M, Borzì F, Iatì G, Potami A, Messina G, Parisi S, Frosina L, Marletta D, De Renzis C, Pontoriero A, Pergolizzi S: Breast cancer bone metastases: an epidemiologic study in selected radiation departments. Tumori. , 100 (1): 38-41.
['Go se ikarabele: kalafi']
['Web site eno e diretswe go ruta le go naya tshedimosetso fela mme ga e neye kgakololo ya kalafi kgotsa ditirelo tsa seporofešenale.']
['Tshedimosetso e e neelwang ga e a tshwanela go dirisiwa go bona bolwetse kana go alafa bothata jwa botsogo, mme batho ba ba batlang kgakololo ya kalafi ba tshwanetse go ikgolaganya le ngaka e e nang le laesense.']
['Tsweetswee ela tlhoko gore thulaganyo ya methapo e e dirang dikarabo tsa dipotso tseno, ga e a tlhomama fa go tla mo dilong tsa dipalo. Ka sekai, palo ya batho ba ba nang le bolwetse bongwe jo bo rileng.']
['Ka metlha batla kgakololo ya ngaka ya gago kgotsa moabi yo mongwe wa kalafi yo o tshwanelegang malebana le boemo jwa kalafi. Le ka motlha o se ka wa itlhokomolosa kgakololo ya kalafi ya porofeshenale kgotsa wa diega go e batla ka ntlha ya sengwe se o se badileng mo website eno. Fa o akanya gore o ka tswa o na le boemo jwa tshoganyetso jwa kalafi, leletsa 911 kgotsa o ye kwa kamoreng ya tshoganyetso e e gaufi le wena ka bonako. Ga go na kamano epe ya ngaka le molwetse e e tlisiwang ke website eno kgotsa go e dirisa. BioMedLib kgotsa badiri ba yone, kgotsa ope fela yo o tsentseng letsogo mo website eno, ga ba dire ditshupetso dipe, tse di tlhamaletseng kgotsa tse di sa tlhamalalang, malebana le tshedimosetso e e mo go yone kgotsa go e dirisa.']
['Go ikgatholosa: ditshwanelo tsa bokwadi']
['Molao wa Digital Millennium Copyright wa 1998, 17 U.S.C. § 512 (the DMCA) o tlamela ka kgetse ya beng ba ditshwanelo ba ba dumelang gore matheriale o o tlhagelelang mo inthaneteng o gataka ditshwanelo tsa bona go ya ka molao wa ditshwanelo wa U.S.']
['Fa o dumela ka pelo yotlhe gore tshedimosetso kgotsa matheriale o o mo website ya rona kgotsa ditirelo tsa rona o gataka ditshwanelo tsa gago tsa semolao, wena (kgotsa moemedi wa gago) o ka re romelela kitsiso o kopa gore tshedimosetso eo kgotsa matheriale oo o tlosiwe kgotsa o thibelwe go o fitlhelela.']
['Dikitsiso di tshwanetse go romelwa ka go kwala ka imeili (leba karolo ya "Contact" go bona aterese ya imeili).']
['DMCA e batla gore kitsiso ya gago ya go tlolwa ga ditshwanelo tsa gago e akaretse tshedimosetso e e latelang: (1) tlhaloso ya tiro e e sireleditsweng ka ditshwanelo e go tweng e tlotswe; (2) tlhaloso ya diteng tse go tweng di tlotswe le tshedimosetso e e lekaneng go re letla go bona diteng; (3) tshedimosetso ya go ikgolaganya le wena, go akaretsa aterese ya gago, nomoro ya mogala le aterese ya imeile; (4) polelo ya gago ya gore o dumela ka pelo yotlhe gore diteng tse di tlotsweng ga di a letlelelwa ke mong wa ditshwanelo tsa gago, kgotsa moemedi wa gagwe, kgotsa ka molao ope; ']
['(5) polelo e e saenilweng ke wena, e e supang gore tshedimosetso e e mo kitsisong e boammaaruri le gore o na le thata ya go diragatsa ditshwanelo tsa botaki tse go tweng di gatakilwe;']
['le (6) saena ya mmatota kgotsa ya eleketeroniki ya mong wa tshwanelo ya go gatisa kgotsa motho yo o filweng tetla ya go dira mo boemong jwa mong wa tshwanelo ya go gatisa. ']
['Fa o sa akaretse tshedimosetso yotlhe e e fa godimo e ka nna ya diegisa go sekasekwa ga ngongorego ya gago.']
['Go Ikgolaganya']
['Tsweetswee re romelele imeile ka potso/kgakololo epe fela.']
How common is breast cancer?
Breast cancer is the most common cancer among women worldwide, with an estimated 2.3 million new cases diagnosed in 2020, according to the World Health Organization (WHO). The incidence and prevalence of breast cancer vary by region, but it is a significant health concern globally.
In the United States, breast cancer is the second most common cancer among women, with an estimated 281,5500 new cases expected to be diagnosed in 2021, according to the American Cancer Society.
The lifetime risk of a woman developing breast cancer is approximately 1 in 8, or about 12.9%. However, it is important to note that these numbers are estimates and may vary based on factors such as age, genetics, lifestyle, and environmental factors.
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['Mo e ka nnang']
['BioMedLib e dirisa dikhomputara tse di itirisang (machine-learning algorithms) go dira dipotso le dikarabo.']
['Re simolola ka dikgatiso di le dimilione di le 35 tsa tsa kalafi ya ditshedi tsa PubMed/Medline. Gape, ditsebe tsa Web tsa RefinedWeb.']
